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Approximate Communication: Techniques for Reducing Communication Bottlenecks in Large-Scale Parallel Systems

A Survey on Online Judge Systems and Their Applications

Metamorphic Testing: A Review of Challenges and Opportunities

A Survey on the Usage of Eye-Tracking in Computer Programming

Survey on Access Control for Community-Centered Collaborative Systems

Quality Control in Crowdsourcing: A Survey of Quality Attributes, Assessment Techniques, and Assurance Actions

HPC Cloud for Scientific and Business Applications: Taxonomy, Vision, and Research Challenges

Multimedia Big Data Analytics: A Survey

Exiting the Risk Assessment Maze: A Meta-Survey

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About CSUR

ACM Computing Surveys (CSUR) publishes comprehensive, readable tutorials and survey papers that give guided tours through the literature and explain topics to those who seek to learn the basics of areas outside their specialties. These carefully planned and presented introductions are also an excellent way for professionals to develop perspectives on, and identify trends in complex technologies. Recent issues have covered image understanding, software reusability, and object and relational database topics. 

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Forthcoming Articles
Integrated NFV/SDN Architectures: A Systematic Literature Review

Network Functions Virtualization (NFV) and Software-Defined Networking (SDN) are new paradigms towards open software and network hardware. While NFV aims at virtualizing network functions and deploying them into general purpose hardware, SDN makes networks programmable by separating the control and data planes. NFV and SDN are complementary technologies capable of providing one network solution. SDN can provide connectivity between Virtual Network Functions (VNFs) in a flexible and automated way, whereas NFV can use SDN as part of a service function chain. There are a great deal of studies proposing NFV/SDN architectures in different environments. Researchers have been trying to address reliability, performance, and scalability problems using different architectural designs. This Systematic Literature Review (SLR) focuses on integrated NFV/SDN architectures and has the following goals: i) to investigate and provide an in-depth review of the state-of-the-art of NFV/SDN architectures, ii) to synthesize their architectural designs, and iii) to identify areas for further improvements. In a broad view, this SLR will encourage researchers to advance the current stage of development (i.e., the state-of-the-practice) of integrated NFV/SDN architectures, as well as to shed some light on future research efforts and their challenges.

A Comprehensive Perspective on Pilot-Job Systems

Pilot-Job systems play an important role in supporting distributed scientific computing. With the increasing importance of task-level parallelism in high-performance computing, Pilot-Job systems are also witnessing an adoption beyond traditional domains. Notwithstanding the growing impact on scientific research, there is no agreement upon a definition of Pilot-Job system and no clear understanding of the underlying abstraction and paradigm. Pilot-Job implementations have proliferated with no shared best practices or open interfaces and little interoperability. Ultimately, this is hindering the realization of the full impact of Pilot-Jobs by limiting their robustness, portability, and maintainability. This paper offers a com- prehensive analysis of Pilot-Job systems critically assessing their motivations, evolution, properties, and implementation. The three main contributions of this paper are: (i) an anal- ysis of the motivations and evolution of Pilot-Job systems; (ii) an outline of the Pilot abstraction, its distinguishing logi- cal components and functionalities, its terminology, and its architecture pattern; and (iii) the description of core and auxiliary properties of Pilot-Jobs systems and the analysis of seven exemplar Pilot-Job implementations. Together, these contributions illustrate the Pilot paradigm, its generality, and how it helps to address some challenges in distributed scientific computing.

Evaluating computational creativity: An interdisciplinary tutorial

A tutorial resource for researchers who want to program a computer to perform a creative task, but who lack an interdisciplinary background in the psychology, philosophy, and cognitive science of creativity. We summarize interdisciplinary perspectives on what creativity is, how it is detected in humans, and how a person would falsifiably evaluate whether or not a computer has been creative. We then survey how these perspectives have and have not been used in actual computational creativity research, as well as what new perspectives on creativity have arisen specifically from computer science, and make recommendations for how they should be used by this field in the future.

A Survey of Modelling Trends in Temporal GIS

The main achievements of spatio-temporal modelling in the field of Geographic Information Science over the past three decades are surveyed. This article offers an overview of: (i) the origins and history of Temporal Geographic Information Systems (T-GIS); (ii) relevant spatio-temporal data models proposed; (iii) the evolution of spatio-temporal modelling trends; and (iv) an analysis of the future trends and developments in T-GIS. It also presents some current theories and concepts that have emerged from the research performed, as well as a summary of the current progress and the upcoming challenges and potential research directions for T-GIS. One relevant result of this survey is the proposed taxonomy of spatio-temporal modelling trends, which classifies 186 modelling proposals surveyed from more than 1400 articles.

A Critical Review of Proactive Detection of Driver Stress Levels Based on Multimodal Measurements

Stress is a major concern in daily life that imposes significant and growing health and economic costs on society every year. Stress and driving are a dangerous combination which can lead to life-threatening situations as a large number of road traffic crashes occur every year due to driver stress. In addition, the rate of many general health issues caused by work-related chronic stress in drivers who work in public and private transport is greater than many other occupational groups. Therefore, an early warning system for drivers stress level in car is needed to continuously predict dangerous driving situations and alert the driver pro-actively from the perspective of safety and comfortable driving. With recent developments in ambient intelligence, such as sensing technologies, pervasive devices, context recognition, and communications, it is becoming feasible to comfortably measure combinations of different sensed modalities to recognise driver stress automatically. This survey reviews the most recent researches on automatic driver stress level detection domain based on different sensors and data. Different computational techniques which have been used in this domain for data analysis are investigated. The important methodological issues that hinder the implementation of such a system are discussed and future research directions are offered.

Practical Secure Computation Outsourcing: A Survey

The rapid development of cloud computing promotes a wide deployment of data and computation outsourcing by resource-limited entities to cloud providers. Based on a pay-per-use fashion, clients without enough computational power can easily outsource large-scale computational tasks to the cloud. Nonetheless, the issue of security and privacy is a major concern when customers' confidential or sensitive data is processed and the output is generated in not fully trusted cloud environments. Recently, a number of publications have investigated and designed secure outsourcing schemes for different computational tasks. The aim of this survey is to systemize and present the cutting-edge technologies in this area. It starts by presenting security threats and requirements, followed by other factors that should be considered by secure computation outsourcing constructions. In an organized way, we then dwell on the existing secure computation outsourcing solutions to different computational tasks such as matrix computations, mathematical optimization, etc., treating the confidentiality of data as well as the integrity of result. Finally, we offer a discussion of the literature and provide a list of open challenges in the area.

Reproducibility in Scientific Computing

Reproducibility is widely considered to be an essential requirement of the scientific process. However, a number of serious concerns have been raised recently, questioning whether today's computational work is adequately reproducible. In principle, it should be possible to specify a computation to sufficient detail that anyone should be able to reproduce it exactly. But in practice, there are fundamental, technical, and social barriers to doing so. The many objectives and meanings of reproducibility are discussed within the context of scientific computing. Many technical barriers to reproducibility are described, extant approaches surveyed, and open areas of research are identified.

Visual SLAM and Structure from Motion in Dynamic Environments: A Survey

In the last few decades, Structure from Motion (SfM) and visual Simultaneous Localization and Mapping (visual SLAM) techniques have gained significant interest from both the computer vision and robotic communities. Many variants of these techniques have started to make an impact in a wide range of applications, including robot navigation and augmented reality. However, despite some remarkable results in these areas, most SfM and visual SLAM techniques operate based on the assumption that the observed environment is static. However, when faced with moving objects, overall system accuracy can be jeopardized. In this paper, we present for the first time a survey of visual localization and 3D reconstruction techniques that are targetted towards operation in dynamic environments. We identify three main problems, namely: how to perform reconstruction (robust visual SLAM); how to segment and track dynamic objects; and lastly, how to achieve joint motion segmentation and reconstruction. Based on this categorization, we provide a comprehensive taxonomy of existing approaches. Finally, the advantages and disadvantages of each solution class are critically discussed from perspective of practicality and robustness.

Co-simulation: a Survey

It is essential to find new ways of enabling experts in different disciplines to collaborate more efficiently in the development of ever more complex systems, under increasing market pressures. One possible solution for this challenge is to use a heterogeneous model-based approach where different teams can produce their conventional models and carry out their usual mono-disciplinary analysis, but in addition, the different models can be coupled for simulation (co-simulation), allowing the study of the global behavior of the system. Due to its potential, co-simulation is being studied in many different disciplines but with limited sharing of findings. Our aim with this work is to summarize, bridge, and enhance future research in this multidisciplinary area. We provide an overview of co-simulation approaches, research challenges, and research opportunities, together with a detailed taxonomy with different aspects of the state of the art of co-simulation and classification for the past five years. The main research needs identified are: finding generic approaches for modular, stable and accurate coupling of simulation units; and expressing the adaptations required to ensure that the coupling is correct.

Spatio-Temporal Data Mining: A Survey of Problems and Methods

Large volumes of spatio-temporal data are increasingly collected and studied in diverse domains including, climate science, social sciences, neuroscience, epidemiology, transportation, mobile health, and Earth sciences. Spatio-temporal data differs from relational data for which computational approaches are developed in the data mining community for multiple decades, in that both spatial and temporal attributes are available in addition to the actual measurements/attributes. The presence of these attributes introduces additional challenges that needs to be dealt with. Approaches for mining spatio-temporal data have been studied for over a decade in the data mining community. In this article we present a broad survey of this relatively young field of spatio-temporal data mining. We discuss different types of spatio-temporal data and the relevant data mining questions that arise in the context of analyzing each of these datasets. Based on the nature of the data mining problem studied, we classify literature on spatio-temporal data mining into six major categories: clustering, predictive learning, change detection, frequent pattern mining, anomaly detection, and relationship mining. We discuss the various forms of spatio-temporal data mining problems in each of these categories.

Survey on Load Balancing Methods in 802.11 Infrastructure Mode Wireless Networks for Improving Quality of Service

Traffic load in any infrastructured 802.11 network is typically distributed unevenly between access points (AP) creating hotspots. This is due to the inherent nature of wireless networks (WLAN) where stations are free to associate to any known AP they desire and the lack of control by the APs themselves. This imbalance creates a condition where affected APs in the network suffer traffic congestion while others are under utilised leading to stations experiencing lower throughput, longer latency and operating below the network potential capacity. To alleviate this problem, some form of load balancing is required to redistribute the work load amongst other available APs in the wireless network. This paper presents a survey of the various works done in performing load balancing in an infrastructured 802.11 wireless network and will cover the common methods including admission control, association management, cell breathing and association control. Updates to the IEEE standards are also presented that support load balancing efforts. Finally, software defined networks are investigated to determine the extent of control integration to support managing and load balancing WLANs. Trends in load balancing research is also uncovered which indicate how the introduction of new wireless standards influence the amount of research.

Provenance Analytics for Workflow-based Computational Experiments: a Survey

Until not long ago, manually capturing and storing provenance from scientific experiments were constant concerns for scientists. With the advent of computational experiments (modeled as scientific workflows) and Scientific Workflow Management Systems, produced and consumed data, as well as the provenance of a given experiment, are automatically managed, so provenance capturing and storing in such context is no longer a major concern. Similarly to several existing big data problems, the bottom line is now on how to analyze the large amounts of provenance data generated by workflow executions and how to be able to extract useful knowledge of this data. In this context, this article surveys the current state-of-art on provenance analytics by presenting the key initiatives that have been taken to support provenance data analysis. We also contribute by proposing a taxonomy to classify elements related to provenance analytics.

Content-based Music Information Retrieval (CB-MIR) and its Applications towards Music Industry: A Review

Huge increase in the number of digital music tracks has created a necessity to develop an automated tool to extract the needful information from those tracks. As this information has to be extracted from the contents of the music, it is known as Content Based - Music Information Retrieval (CB-MIR). As, since recent two decades, several research outcomes are observed in the area of CB-MIR, there is a need to consolidate and critically analyze the research findings to evolve future research directions. In this survey article, various tasks of content based music information retrieval and their applications are critically reviewed. In particular, the article focuses on eight MIR related tasks such as vocal/non-vocal segmentation, artist identification, genre classification, raga identification, query-by-humming (QBH), emotion recognition, instrument recognition and music clip annotation. The article elaborates the signal processing techniques to extract useful features for performing specific tasks mentioned above and discusses their strengths as well as weakness. This paper also points to some general research issues in CB-MIR and probable approaches towards solutions which help in improving the efficiency of existing CB-MIR systems.

GeoStreams: A Survey

Positional data from small and mobile GPS receivers has become ubiquitous and allows for many new applications such as road traffic or vessel monitoring as well as Location Based Services. To make these applications possible for which information on location is more important than ever, streaming spatial data needs to be managed, mined and used intelligently. This paper provides an overview of previous work in this evolving research field and discusses different applications as well as common problems and solutions. The conclusion indicates promising directions for future research.

A Survey of End-system Optimizations for High Speed Networks

The gap is widening between the processor clock speed of end-system architectures and network throughput capabilities. It is now physically possible to provide single-flow throughput of speeds up to 100 Gbps, and 400 Gbps will soon be possible. Most current research into high-speed data networking focuses on managing expanding network capabilities within datacenter Local-Area Networks (LANs) or efficiently multiplexing millions of relatively small flows through a Wide-Area Network (WAN). However, datacenter hyper-convergence places high-throughput networking workloads on general-purpose hardware, and distributed High-Performance Computing (HPC) applications require time-sensitive, high-throughput end-to-end flows (also referred to as elephant flows) to occur over WANs. For these applications, the bottleneck is often the end-system, and not the intervening network. Since the problem of the end-system bottleneck was uncovered, many techniques have been developed which address this mismatch with varying degrees of effectiveness. In this survey, we describe the most promising techniques, beginning with network architecturesand NIC design, continuing with operating and end-system architectures, and concluding with clean-slate protocol design.

Survey and Analysis of Kernel and Userspace Tracers on Linux: Design, Implementation, and Overhead

As applications and operating systems are becoming more complex, the last decade has seen the rise of many tracing tools all across the software stack. This paper presents a hands-on comparison of modern tracers on Linux systems, both in user space and kernel space. The authors implement microbenchmarks that not only quantify the overhead of different tracers, but also sample fine-grained metrics that unveil insights into the tracers' internals and show the cause of each tracer's overhead. Internal design choices and implementation particularities are discussed, which helps to understand the challenges of developing tracers. Furthermore, this analysis aims to help users choose and configure their tracers based on their specific requirements in order to reduce their overhead and get the most of out of them.

Network Structure Inference, A Survey: Motivations, Methods, and Applications

Networks are used to represent relationships between entities in many complex systems, spanning from online social networks to biological cell development and brain activity. These networks model relationships which present various challenges. In many cases, relationships between entities are unambiguously known: are two users friends in a social network? Do two researchers collaborate on a published paper? Do two road segments in a transportation system intersect? These are unambiguous and directly observable in the system in question. In most cases, relationship between nodes are not directly observable and must be inferred: does one gene regulate the expression of another? Do two animals who physically co-locate have a social bond? Who infected whom in a disease outbreak? Existing approaches use specialized knowledge in different home domains to infer and measure the goodness of inferred network for a specific task. However, current research lacks a rigorous validation framework which employs standard statistical validation. In this survey, we examine how network representations are learned from non-network data, the variety of questions and tasks on these data over several domains, and validation strategies for measuring the inferred network's capability of answering questions on the original system of interest.

Using Genetic Algorithms in Test Data Generation: a Critical Systematic Mapping

Software testing activities account for a considerable portion of systems development cost and, for this reason, many studies have sought to automate these activities. Test data generation has a high cost reduction potential (specially for complex domain systems), since it can decrease human effort. Although several studies have been published about this subject, articles of reviews covering this topic usually focus only in specific domains. This article presents a systematic mapping aiming at providing a broad, albeit critical, overview of the literature in the topic of test data generation using genetic algorithms. The selected studies were categorized by software testing technique (structural, functional or mutation testing) for which test data were generated and by proposed modifications on genetic algorithms. The most used evaluation metrics and software testing techniques were identified. The results showed that genetic algorithms have been successfully applied to simple test data generation, but are rarely used to generate complex test data such as images, videos, sounds, and three-dimensional models. From these results, we discuss some challenges and opportunities for researches in this area.

Auto-scaling Web Applications in Clouds: A Taxonomy and Survey

Web application providers have been migrating their applications to cloud data centers, attracted by the emerging cloud computing paradigm. One of the appealing features of cloud is elasticity. It allows cloud users to acquire or release computing resources on demand, which enables web application providers to auto-scale the resources provisioned to their applications under dynamic workload in order to minimize resource cost while satisfying Quality of Service (QoS) requirements. In this paper, we comprehensively analyze the challenges remain in auto-scaling web applications in clouds and review the developments in this field. We present a taxonomy of auto-scaling systems according to the identified challenges and key properties. We analyze the surveyed works and map them to the taxonomy to identify the weakness in this field. Moreover, based on the analysis, we propose new future directions.

Measuring software process: a systematic mapping study

Context: Software development process measurement is essential to reach predictable performance and high capability processes. Software process measurement provides support for better understanding, evaluation, management and control of the development process, project and resulting product, as well. Measurement enables organizations to recognize, improve, and predict their processes quality and performance, which place organizations in better position to make appropriate and informed decisions as early as possible during the development process. Objective: This study aims to understand the measurement of the software development process, to identify studies, to create a classification scheme based on the identified studies, and then, to map such studies into the scheme so as to answer the research questions. Method: Systematic mapping is the selected research methodology for this project. Results: A total of 419 studies are included, and classified into four groups with respect to their focus and into three groups based on the publishing date. Conclusion: The project effort and productivity are the attributes that have been measured more frequently, followed by process maturity and productivity in second place. GQM and CMMI are the main methods used in the studies, whereas Agile and Lean development and Small and Medium-Size Enterprise are the most frequently identified research contexts.

A Survey on NoSQL Stores

Recent diversity of storage demands made various shortcomings of traditional RDBMS systems revealed, which in turn led to the emergence of a new trend of complementary non-relational data management solutions, named as NoSQL (Not only SQL). This survey mainly aims at presenting the work that has been conducted with regard to four closely related concepts of NoSQL stores: data model, consistency model, data partitioning and replication. For each concept, its different protocols, and for each protocol, its corresponding features, strengths and drawbacks are explained. Furthermore, various implementations of each protocol are exemplified and crystallized through a collection of representative academic and industrial NoSQL technologies. The rationale behind each design decision along with some corresponding extensions and improvements are discussed. Finally, we disclose some existing challenges in developing effective NoSQL stores, which need attention from the research community, application designers and architects.

Large-Scale Indexing, Discovery and Ranking for the Internet of Things (IoT)

Network-enabled sensing and actuation devices are key enablers to connect real-world objects to the cyber world. Internet of Things (IoT) uses these network-enabled devices and communication technologies to allow connectivity and integration of physical objects (Things) from real-world into the data-driven digital world (Internet). Enormous amounts of dynamic IoT data are collected from Internet-connected devices. IoT data is, however, often multi-variant streams that are heterogeneous, sporadic, multi-modal and spatio-temporal. IoT data can be disseminated with different granularities and have diverse structures, types and qualities. Dealing with data deluge from heterogeneous IoT resources and services impose challenges on indexing, discovery and ranking mechanisms to build applications that require on-line access and retrieval of IoT data. However, the existing IoT data indexing and discovery approaches are complex (usually based on formal and logical methods) or centralised which hinder their scalability. The primary objective of this paper is to provide a holistic overview of the state-of-the-art on indexing, discovering and ranking of IoT data. We discuss on-line analysis and fast responses to complex queries. The paper aims to pave the way for researchers to design, develop, implement and evaluate techniques and approaches in future for on-line large-scale distributed IoT applications and platforms.

Graph Summarization Methods and Applications: A Survey

While advances in computing resources have made processing enormous amounts of data possible, human ability to identify patterns in such data has not scaled accordingly. Thus, efficient computational methods for condensing and simplifying data are becoming vital for extracting actionable insights. In particular, while data summarization techniques have been studied extensively, only recently has summarizing interconnected data, or graphs, become popular. This survey is a structured, comprehensive overview of the state-of-the-art methods for summarizing graph data. We first broach the motivation behind and the challenges of graph summarization. We then categorize summarization approaches by the type of graphs taken as input and further organize each category by core methodology. Finally, we discuss applications of summarization on real-world graphs and conclude by describing some open problems in the field.

Current and Future Trends in Mobile Device Forensics: A Survey

Contemporary mobile devices are the result of an evolution process where computational and networking capabilities have been continuously pushed so as to keep pace with the constantly growing workload requirements. This has allowed devices such as smartphone and tablets to perform increasingly complex tasks, up to the point of efficiently replacing traditional options such as desktop computers and notebooks. However, these devices are more prone to theft, to compromising or to exploitation for attacks and other malicious activity, mainly due to their portability and size. The need for investigation of the aforementioned incidents resulted in the creation of the Mobile Forensics (MF) discipline. MF, a sub-domain of Digital Forensics (DF) is specialized in extracting and processing evidence from mobile devices in such a way that attacking entities and actions are identified and traced. Beyond its primary research interest on accurate evidence acquisition from mobile devices, MF has recently expanded its scope to encompass the organized and advanced evidence representation and analysis of entities behavior. The current paper aims to present the research conducted within the MF ecosystem during the last six years. Moreover, it identifies the gaps and highlights the differences from past research directions. Lastly, it addresses challenges and open issues in the field.

Toolflows for Mapping Convolutional Neural Networks on FPGAs: A Survey and Future Directions

In the past decade, Convolutional Neural Networks (CNNs) have demonstrated state-of-the-art performance in various Artificial Intelligence tasks. To accelerate the experimentation and development of CNNs, several software frameworks have been released, primarily targeting power-hungry CPUs and GPUs. In this context, reconfigurable hardware in the form of FPGAs constitutes a potential alternative platform that can be integrated in the existing CNN ecosystem to provide a tunable balance between performance, power consumption and programmability. In this paper, a survey of the existing CNN-to-FPGA toolflows is presented, comprising a comparative study of their key characteristics which include the supported applications, architectural choices, design space exploration methods and achieved performance. Moreover, major challenges and objectives introduced by the latest trends in CNN algorithmic research are identified and presented. Finally, an evaluation methodology is proposed, aiming at the comprehensive, complete and in-depth evaluation of CNN-to-FPGA toolflows.

Conceptual Representations for Computational Concept Creation

Computational creativity seeks to understand computational mechanisms that can be characterized as creative. Creation of new concepts is a central challenge for any creative system. In this paper, we outline different approaches to concept creation and then review conceptual representations relevant to concept creation. The conceptual representations are organized in accordance with two important perspectives on the distinctions between them. One distinction is between symbolic, spatial and connectionist representations. The other is between descriptive and procedural representations. These two distinctions are orthogonal. Additionally, conceptual representations used in particular creative domains, i.e. language, music, image and emotion, are reviewed separately. For each representation reviewed, we cover the inference it affords, the computational means of building it, and its application in concept creation.

A Survey of Random Forest Based Methods for Intrusion Detection Systems

Over the past decades, researches have been proposing different Intrusion Detection approaches to deal with the increasing number and complexity of threats for computer systems. In this context, Random Forest models have been providing a notable performance on their applications in the realm of the behaviour-based Intrusion Detection Systems. Specificities of the Random Forest model are used to provide classification, feature selection and proximity metrics. This work provides a comprehensive review of the general basic concepts related to Intrusion Detection Systems, including taxonomies, attacks, data collection, modelling, evaluation metrics and commonly used methods. It also provides a survey of Random Forest based methods applied on this context, considering the particularities involved in these models. Finally, some open questions and challenges are posed combined with possible directions to deal with them, which may guide future works on the area.

A Survey on Multidimensional Scaling

This survey presents multidimensional scaling (MDS) methods and their applications in real world. MDS is an exploratory and multivariate data analysis technique becoming more and more popular. MDS is one of the multivariate data analysis techniques, which tries to represent the higher dimensional data into lower space. The input data for MDS analysis is measured by the dissimilarity or similarity of the objects under observation. Once the MDS technique is applied to the measured dissimilarity or similarity, MDS results in a spatial map. In the spatial map the dissimilar objects are far apart while objects which are similar are placed close to each other. In this survey paper, MDS is described fairly in comprehensive fashion by explaining the basic notions of classical MDS and how MDS can be helpful to analyze the multidimensional data. Later on various MDS based special models are described in a more mathematical way.

Facial Expression Analysis under Partial Occlusion: A Survey

Automatic machine-based Facial Expression Analysis (FEA) has witnessed substantial progress in the past few decades motivated by its importance in psychology, security, health, entertainment and human computer interaction. However, the vast majority of current studies are based on non-occluded faces collected in a controlled laboratory environment, and automatic expression recognition from partially occluded faces remains a largely unresolved field, particularly in real-world scenarios. In recent years, increasing efforts have been directed at investigating techniques to handle partial occlusion for FEA. This survey provides a comprehensive review of the recent advances in dataset creation, algorithm development, and investigations of the effects of occlusion, which are crucial in system design and evaluations. It also outlines existing challenges in overcoming partial occlusion and discusses possible opportunities in advancing the technology. To the best of our knowledge, it is the first FEA survey dedicated to occlusion and devoted to serve as a starting point to promote future work.

Technical Privacy Metrics: a Systematic Survey

The goal of privacy metrics is to measure the degree of privacy enjoyed by users in a system and the amount of protection offered by privacy-enhancing technologies. In this way, privacy metrics contribute to improving user privacy in the digital world. The diversity and complexity of privacy metrics in the literature makes an informed choice of metrics challenging. As a result, redundant new metrics are proposed frequently, and privacy studies are often incomparable. In this survey we alleviate these problems by structuring the landscape of privacy metrics. For this we explain and discuss a selection of over eighty privacy metrics and introduce a categorization based on the aspect of privacy they measure, their required inputs, and the type of data that needs protection. In addition, we present a method on how to choose privacy metrics based on eight questions that help identify the right privacy metrics for a given scenario, and highlight topics where additional work on privacy metrics is needed. Our survey spans multiple privacy domains and can be understood as a general framework for privacy measurement.

A Checkpoint of Research on Parallel I/O for High Performance Computing

This article presents a comprehensive survey on parallel I/O. This is an important field for High Performance Computing because of the historic gap between processing power and storage latencies, which causes applications performance to be impaired when accessing or generating large amounts of data. As the available processing power and amount of data increase, I/O remains a central issue for the scientific community. In this survey, we present background concepts everyone could benefit from. Moreover, through the comprehensive study of publications from the most important conferences and journals in a five-year time window, we discuss the state of the art of I/O optimization approaches, access pattern extraction techniques, and performance modeling, in addition to general aspects of parallel I/O research. Through this approach, we aim at identifying the general characteristics of the field and the main current and future research topics.

A Survey of Sensors in Healthcare Workflow Monitoring

Activities of a clinical sta in healthcare environments must regularly be adapted to new treatment methods, medications and technologies. This constant evolution requires the monitoring of the work ow, or the sequence of actions from actors involved in a procedure, to ensure quality of medical services. In this context, recent advances in sensing technologies, including Real-time Location Systems (RTLS) and Computer Vision, enable high-precision tracking of actors and equipment. The current state-of-the-art about healthcare work ow monitoring typically focuses on a single technology and does not discuss its integration with others. Such an integration can lead to better solutions to evaluate medical work ows. This study aims to ll the gap regarding the analysis of monitoring technologies with a systematic literature review about sensors for capturing the work ow of healthcare environments. Its main scienti c contribution is to identify both current technologies used to track activities in a clinical environment and gaps on their combination to achieve better results. We also propose a taxonomy to classify work regarding sensing technologies and methods. Our review did not identify proposals that combine data obtained from RTLS and Computer Vision sensors. We conclude that a multimodal analysis is more exible and could yield better results.

Edge-Oriented Computing Paradigms: A Survey on Architecture Design and System Management

While cloud computing has brought paradigm shifts to computing services, researchers and developers have also found some problems inherent to its nature such as bandwidth bottleneck, communication overhead, and location blindness. The concept of fog/edge computing is therefore coined to extend the services from the core in cloud data centers to the edge of the network. In recent years, many systems are proposed to better serve ubiquitous smart devices closer to the user. This paper provides a complete and up-to-date review of edge-oriented computing systems by encapsulating relevant proposals on their architecture features, management approaches, and design objectives.

Detection and Resolution of Rumours in Social Media: A Survey

Despite the increasing use of social media for information and news gathering, its unmoderated nature often leads to the emergence and spread of rumours, i.e. unverified pieces of information. At the same time, the openness of social media provides opportunities to study how users share and discuss rumours, and to explore how natural language processing and data mining techniques may be used to find ways of determining their veracity. In this survey we introduce and discuss two types of rumours that circulate on social media; long-standing rumours that circulate for long periods of time, and newly-emerging rumours spawned during fast-paced events such as breaking news, where unverified reports are often released piecemeal. We provide an overview of research into social media rumours with the ultimate goal of developing a rumour classification system that consists of four components: rumour detection, rumour tracking, rumour stance classification and rumour veracity classification. We delve into the approaches presented in the scientific literature for the development of each of these components. We summarise the efforts and achievements so far towards the development of rumour classification systems and conclude with suggestions for avenues for future research in social media mining for detection and resolution of rumours.

Activity Recognition with Evolving Data Streams: A Review

Activity recognition aims to provide accurate and opportune information on peoples activities by leveraging sensory data available in todays sensory rich environments. Nowadays, activity recognition has become an emerging field in the areas of pervasive and ubiquitous computing. A typical activity recognition technique processes data streams that evolve from sensing platforms such as mobile sensors, on body sensors, and/or ambient sensors. This paper surveys the two overlapped areas of research of activity recognition and data stream mining. The perspective of this paper is to review the adaptation capabilities of activity recognition techniques in streaming environment. Broad categories of techniques are identified based on the different features in both data streams and activity recognition. The pros and cons of the algorithms in each category are analysed and the possible directions of future research are indicated.

RDF Data Storage and Query Processing Schemes: A Survey

The size of Linked Data is growing fast, thus a Linked Data management system must to be able to deal with increasing amounts of data. Even though physically handling Linked Data using a relational table is possible, querying a giant triple table becomes very costly due to the multiple nested joins required for typical queries. In addition, the heterogeneity of Linked Data poses entirely new challenges to database systems. This article provides a comprehensive study of the state of the art in storing and querying RDF data. In particular, we focus on data storage techniques, indexing strategies, and query execution mechanisms. In addition, we provide a classification of existing systems and approaches. We also provide an overview of the various benchmarking efforts in this context and discuss some of the open problems in this domain.

Community Discovery in Dynamic Networks: a Survey

Networks built to model real world phenomena are characeterised by some properties that have attracted the attention of the scientific community: (i) they are organised according to community structure and (ii) their structure evolves with time. Many researchers have worked on methods that can efficiently unveil substructures in complex networks, giving birth to the field of community discovery. A novel and challenging problem started capturing researcher interest recently: the identification of evolving communities. To model the evolution of a system, dynamic networks can be used: nodes and edges are mutable and their presence, or absence, deeply impacts the community structure that compose them. The aim of this survey is to present the distinctive features and challenges of dynamic community discov- ery, and propose a classification of published approaches. As a user manual, this work organizes state of art methodologies into a taxonomy, based on their rationale, and their specific instanciation. Given a desired definition of network dynamics, community characteristics and analytical needs, this survey will support re- searchers to identify the set of approaches that best fit their needs. The proposed classification could also help researchers to choose in which direction should future research be oriented.

A Survey on Routing in Anonymous Communication Protocols

The Internet has undergone dramatic changes in the past 15 years, and now forms a global communication platform that billions of users rely on for their daily activities. While this transformation has brought tremendous benefits to society, it has also created new threats to online privacy, such as omnipotent governmental surveillance. As a result, public interest in systems for anonymous communication has drastically increased. In this work, we survey previous research on designing, developing, and deploying systems for anonymous communication. Our taxonomy and comparative assessment provide important insights about the differences between the existing classes of anonymous communication protocols.

A Survey of Network Traffic Anonymisation Techniques and Implementations

Many networking research activities are dependent on the availability of network captures. Even outside academic research there is a need for sharing network captures, to cooperate on threat assessments or for debugging. However, most network captures can not be shared due to privacy concerns. There have been many advances in the understanding of anonymisation and cryptographic methods, which have changed the perspective on the effectiveness of many anonymisation techniques. On the other hand these advances, combined with the increase of computational abilities, may have also made it feasible to perform anonymisation in real-time. This may make it easier to collect and distribute network captures, both for research and for other applications. This article surveys the literature over the period of 1998 -- 2015 on network traffic anonymisation techniques and implementations. The aim is to provide an overview of the current state of the art, and to highlight how advances in related fields have shed new light on anonymisation and pseudonimisation methodologies. The few currently maintained implementations are also reviewed. Lastly, we identify future research directions to enable easier sharing of network traffic, which in turn can enable new insights in network traffic analy

The Privacy Implications of Cyber Security Systems: a Technological Survey

Information security systems, which protect networks and computers against cyber attacks, are becoming common due to increasing threats and government regulation. At the same time, the enormous amount of data gathered by information security systems poses a serious threat on the privacy of the people protected by those systems. To ground this threat, we survey common and novel information security technologies and analyze them according to the potential for privacy invasion. We suggest a taxonomy for privacy risks assessment of information security technologies, based on the level of data exposure, the level of identification of individual users, the data sensitivity and the user control over the monitoring, collection and analysis of the data. We discuss our results in light of the recent trends in information security and suggest several new directions for making these mechanisms more privacy-aware.

Are we ready to tackle Software Defined Networks? A Comprehensive Survey on Management Tools and Techniques

Network management and maintenance are time-consuming and often challenging tasks. With the emergent Software-Defined Networking paradigm, most of the focus is directed to the evolution of control protocols and platforms, or to deployment problems. Although researchers and network operators consider network management as a primary requirement, its development in SDN has been apparently set aside. This paper reports on the SDN architecture, introduces the concept of SDN tools and surveys the state-of-the-art in different aspects of the network management with emphasis on SDN. Because the SDN ecosystem lacks of a standardized management framework, initiatives are different and scattered.

A Survey of Symbolic Execution Techniques

Many security and software testing applications require checking whether certain properties of a program hold for any possible usage scenario. For instance, a tool for identifying software vulnerabilities may need to rule out the existence of any backdoor to bypass a program's authentication. One approach would be to test the program using different, possibly random inputs. As the backdoor may only be hit for very specific program workloads, automated exploration of the space of possible inputs is of the essence. Symbolic execution provides an elegant solution to the problem, by systematically exploring many possible execution paths at the same time without necessarily requiring concrete inputs. Rather than taking on fully specified input values, the technique abstractly represents them as symbols, resorting to constraint solvers to construct actual instances that would cause property violations. Symbolic execution has been incubated in dozens of tools developed over the last four decades, leading to major practical breakthroughs in a number of prominent software reliability applications. The goal of this survey is to provide an overview of the main ideas, challenges, and solutions developed in the area, distilling them for a broad audience.

A Systematic Mapping Study on Intrusion Alert Analysis in Intrusion Detection Systems

Intrusion alert analysis is an attractive and active topic in the area of intrusion detection and prevention system (IDPS). In recent decades, many research communities have been working in this field. Therefore, a large volume of research works are released and hence, various research areas have emerged. However, there has been no systematic and up-to-date review of research works within the field. The main objective of this paper is to achieve a taxonomy of research fields in intrusion alert analysis and present a reference guide for researchers who want to enter in this area. To this aim, a systematic mapping study (SMS) on 433 high-quality research works has been conducted. By using keywords clustering, there are ten different research topics in the field of intrusion alert analysis which can be classified into three broad groups: pre-processing, processing, and post-processing. A brief description is provided regarding these groups and their related topics. Indeed, some useful analysis are presented based on data extraction from research works. The results show that the processing group contains most of the research works and newly moved to heterogeneous correlation. Also, the post-processing group is newer than others and recently considered by research communities and security administrators.

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ACM Programming Systems and Languages Paper Award (1982)
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Yunhao Liu ACM Presidential Award (2013)
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Vijay Saraswat ACM Doctoral Dissertation Award (1989)
Mahadev Satyanarayanan ACM Software System Award (2016)
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John E Savage ACM Fellows (1996)
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Richard Stallman ACM Software System Award (2015)
ACM Grace Murray Hopper Award (1990)
John A Stankovic ACM Fellows (1996)
John Stasko ACM Distinguished Member (2011)
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Giancarlo Succi ACM Senior Member (2008)
S. Sudarshan ACM Fellows (2014)
Subhash Suri ACM Fellows (2010)
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Ivan Sutherland ACM Fellows (1994)
ACM Software System Award (1993)
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Jeffrey Victor Sutherland ACM Senior Member (2009)
Roberto Tamassia ACM Fellows (2012)
Andrew S Tanenbaum ACM Fellows (1996)
Andrew S. Tanenbaum ACM Karl V. Karlstrom Outstanding Educator Award (1994)
Robert W Taylor ACM Fellows (1994)
ACM Software System Award (1984)
Bent Thomsen ACM Senior Member (2016)
Irv Traiger ACM Fellows (1994)
ACM Software System Award (1988)
ACM Programming Systems and Languages Paper Award (1982)
ACM Programming Systems and Languages Paper Award (1971)
Allen Tucker ACM Fellows (1994)
Outstanding Contribution to ACM Award (1991)
Jeffrey D Ullman ACM Karl V. Karlstrom Outstanding Educator Award (1997)
ACM Fellows (1995)
Patrick Valduriez ACM Fellows (2012)
Mateo Valero ACM Distinguished Service Award (2012)
ACM-IEEE CS Eckert-Mauchly Award (2007)
ACM Fellows (2002)
Paul Van Oorschot ACM Fellows (2016)
Robbert Van Renesse ACM Fellows (2009)
C J Van Rijsbergen ACM Fellows (2003)
Moshe Y Vardi ACM Presidential Award (2017)
Outstanding Contribution to ACM Award (2009)
ACM Presidential Award (2008)
ACM Paris Kanellakis Theory and Practice Award (2005)
ACM Fellows (2000)
Sebastian Ventura ACM Senior Member (2013)
Jeffrey S Vetter ACM Distinguished Member (2012)
ACM Gordon Bell Prize
Performance (2010)
Philip Wadler ACM Fellows (2007)
David L Waltz ACM Fellows (1999)
Yu Wang ACM Senior Member (2011)
Anthony I Wasserman ACM Fellows (1996)
Peter Wegner ACM Distinguished Service Award (2000)
ACM Fellows (1995)
Bruce W Weide ACM Senior Member (2009)
Fred W Weingarten ACM Fellows (1996)
Edgar Weippl ACM Senior Member (2008)
Michael Wellman ACM Fellows (2005)
John R. White ACM Presidential Award (2015)
ACM Fellows (1995)
Outstanding Contribution to ACM Award (1994)
Jennifer Widom ACM Athena Lecturer Award (2015)
ACM Fellows (2005)
Gio Wiederhold ACM Fellows (1995)
Reinhard Wilhelm ACM Distinguished Service Award (2010)
ACM Fellows (2000)
John Wilkes ACM Fellows (2002)
Maurice V. Wilkes ACM Fellows (1994)
ACM-IEEE CS Eckert-Mauchly Award (1980)
ACM A. M. Turing Award (1967)
Jeannette M. Wing ACM Distinguished Service Award (2014)
ACM Fellows (1998)
Niklaus E Wirth ACM Fellows (1994)
ACM A. M. Turing Award (1984)
ACM Programming Systems and Languages Paper Award (1978)
Ian Witten ACM Fellows (1996)
Ouri Wolfson ACM Fellows (2001)
Pierre Wolper ACM Paris Kanellakis Theory and Practice Award (2005)
Jie Wu ACM Senior Member (2006)
William A Wulf ACM Karl V. Karlstrom Outstanding Educator Award (2014)
ACM Distinguished Service Award (2011)
ACM Fellows (1994)
Qiang Yang ACM Fellows (2017)
ACM Distinguished Member (2011)
Bulent Yener ACM Senior Member (2013)
Philip S Yu ACM Fellows (1997)
Pamela Zave ACM Fellows (2001)
HongJiang Zhang ACM Fellows (2007)
Lixia Zhang ACM Fellows (2006)
Feng Zhao ACM Distinguished Member (2006)
Yuanyuan Zhou ACM Fellows (2013)
ACM Distinguished Member (2011)
Albert Zomaya ACM Distinguished Member (2006)
Stuart Zweben ACM Fellows (1998)
Outstanding Contribution to ACM Award (1997)
Andries van Dam ACM Fellows (1994)
ACM Karl V. Karlstrom Outstanding Educator Award (1993)
Andries van Dam ACM Fellows (1994)
ACM Karl V. Karlstrom Outstanding Educator Award (1993)

First Name Last Name Paper Counts
Peter Denning 21
Adele Goldberg 18
Rajkumar Buyya 9
William Dorn 9
Anthony Wasserman 8
Sparsh Mittal 7
Helen Ashman 6
Rachid Guerraoui 6
Andries Van Dam 6
Peter Wegner 6
Jeffrey Vitter 5
Rance Cleaveland 5
Sameeullah Khan 5
Azzedine Boukerche 5
Yannis Ioannidis 5
Jacques Cohen 5
Sundaraja Iyengar 5
Elliott Organick 5
Andrew Tanenbaum 5
Corrado Priami 4
Gonzalo Navarro 4
Wendy Hall 4
Albert Zomaya 4
David Lilja 4
James Peterson 4
James Fry 4
Pierpaolo Degano 4
Peter Lee 4
Fred Schneider 4
Jayadev Misra 4
Peter Wegner 4
Richard Muntz 4
Azriel Rosenfeld 4
Jens Palsberg 4
Hanan Samet 4
Narendra Ahuja 4
Brad Myers 4
Tamer Özsu 4
Gregory Andrews 4
Jeffrey Buzen 4
Luca Cardelli 4
Scott Smolka 4
Mohamed Fayad 4
Johnleslie King 3
Bruce Weide 3
Toby Teorey 3
Miroslaw Malek 3
David Schmidt 3
Robert Rosin 3
Pankaj Agarwal 3
Charles Consel 3
Nabil Adam 3
Abdullah Gani 3
Antônio Loureiro 3
Ingrid Carlbom 3
Avi Silberschatz 3
Dick Bulterman 3
Leslie Carr 3
Michael Bieber 3
Goetz Graefe 3
Robyn Kozierok 3
Mark Harman 3
Cristina Nita-Rotaru 3
Werner Retschitzegger 3
Alberto Pettorossi 3
Patrick Cousot 3
Chris Hankin 3
Jonathan Grudin 3
Thomas Dean 3
Cinzia Cappiello 3
Fabrício Enembreck 3
Maurizio Proietti 3
John Rice 3
Michael, Loui 3
John Stankovic 3
Emil Lupu 3
Quan Sheng 3
Marvin Zelkowitz 3
Udo Pooch 3
Garth Gibson 3
Mahadevan Ganapathi 3
Raghu Ramakrishnan 3
Dirk Riehle 3
Jon Doyle 3
George Nagy 3
Alexander Thomasian 3
Laurie Damianos 3
Zimu Zhou 3
Francky Catthoor 3
Carlo Furia 3
Henry Ledgard 3
Hanne Nielson 3
Flemming Nielson 3
Roberto Tamassia 3
Alan Burns 3
Randy Katz 3
Frank Manola 3
Gabriel Muntean 3
Jacques Noyé 3
Boualem Benatallah 3
Ben Shneiderman 3
Isabel Cruz 3
Roberto Gorrieri 3
David De Roure 3
Michael Marcotty 3
Joseph Pasquale 3
Joseph Paciorek 2
Dennis Severance 2
Jürg Nievergelt 2
Ronald Loui 2
David Embley 2
Bruce Schachter 2
Maarten Van Steen 2
Andrew Turpin 2
Jörg Rothe 2
William Kent 2
Daniel Keim 2
André Schiper 2
Vipin Kumar 2
Gerti Kappel 2
Kevin Crowston 2
Benjamin Bustos 2
Philip Wadler 2
Eduardo Miranda 2
Carl Landwehr 2
Richard Snodgrass 2
John Hennessy 2
Ahmed Elmagarmid 2
Michael Mannino 2
Gilles Muller 2
Philip Bernstein 2
Tiziana Catarci 2
Kenneth Neves 2
John Mitchell 2
Alexander Brodsky 2
Maxime Crochemore 2
Charu Aggarwal 2
Mohamed Sabry 2
David Atienza 2
John Derrick 2
Samira Pouyanfar 2
Florian Daniel 2
Otto Lessing 2
Sigmund Gorski 2
Carl Gunter 2
Arun Ross 2
Victor Lesser 2
Clement Yu 2
Aristides Requicha 2
Guillaume Pierre 2
Pieter Hartel 2
Douglas Comer 2
Zvi Galil* 2
David Maier 2
William Stallings 2
Jan Heering 2
Carlo Batini 2
Philip YU 2
Alberto Marchetti-Spaccamela 2
Philippe Codognet 2
Mary Rosson 2
Betty Salzberg 2
Dino Mandrioli 2
Renaud Marlet 2
Nic Volanschi 2
Henry Korth 2
Michael Leuschel 2
Ouri Wolfson 2
Martha Larson 2
Ephraim Glinert 2
Tiziana Margaria 2
Patricia Lago 2
CÉcile Paris 2
Yue Huang 2
Wubai Zhou 2
Robbert Van Renesse 2
Eduardo Hruschka 2
Peter Larsen 2
Marjan Mernik 2
Mark Truran 2
David Kotz 2
Zhiwen Yu 2
Thierry Lecroq 2
Claudio Carpineto 2
Richard Bird 2
Mohammed Bennamoun 2
Hector Levesque 2
Jim Woodcock 2
Giuseppe Italiano 2
Jim Kurose 2
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Fred Maryanski 2
Edward Reingold 2
William Wulf 2
Charles Fischer 2
Chittoor Ramamoorthy 2
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Javier Navaridas 2
Sherif Sakr 2
Simon Kasif 2
Elisha Sacks 2
Lynette Hirschman 2
Edgar Sibley 2
John Hatcliff 2
Jeffrey Ullman 2
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Allen Tucker 2
Mathias Fischer 2
Shishir Nagaraja 2
Dimitrios Rodopoulos 2
Martin Monperrus 2
Rodrigo Calheiros 2
Lionel Ni 2
Niki Pissinou 2
John Fitzgerald 2
Hans Gellersen 2
Abdelhamid Bouchachia 2
Peter Fontana 2
Frederick Lochovsky 2
Won Kim 2
Lester Lipsky 2
Thomas Moran 2
Pascal Felber 2
Josep Silva 2
Wolfgang Klas 2
Renzo Angles 2
Subrata Dasgupta 2
Robert Davis 2
Paul Hudak 2
Lawrence Dowdy 2
Derrell Foster 2
Subhash Suri 2
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Adel Toosi 2
João Gama 2
Charles Hoare 2
Juris Hartmanis 2
Howard Wactlar 2
Kevin Mills 2
John Gallagher 2
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Leon Osterweil 2
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Steve Bryson 2
Francis Sullivan 2
Vijay Saraswat 2
Joseph Sifakis 2
Robert Harper 2
Bernhard Steffen 2
Ugo Montanari 2
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Rizos Sakellariou 2
William Enck 2
Sungho Kang 2
Zhiqiang Lin 2
Thomas Dietterich 2
Yonathan Bard 2
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Gary Leavens 2
Kenneth Kraemer 2
Klara Nahrstedt 2
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Fatima Nunes 2
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H Li 2
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Luke Hornof 2
Robert Jacob 2
Katia Sycara 2
Sajjad Madani 2
Trevor Mudge 2
Wayne Citrin 2
James Hollan 2
Malvin Kalos 2
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Tom Van Cutsem 2
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Michael Franz 2
Chunqiu Zeng 2
Raymond Yeh 2
Christos Faloutsos 2
Shuching Chen 2
Jason Alexander 2
Imran Ghani 2
Sitharama Iyengar 2
Andreas Bulling 2
Sivan Toledo 2
Alexander Gluhak 2
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Inderveer Chana 2
Axel Jantsch 2
Ilia Pietri 2
Jiliang Tang 2
Justin Zobel 2
Giovanni Romano 2
Bruce Leverett 2
Natarajan Shankar 2
Olivier Danvy 2
Eduardofreire Nakamura 2
Barbara Ryder 2
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Alan Feuer 2
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Julia Lawall 2
Sushil Jajodia 2
Mehmet Akşit 2
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Pascal Van Hentenryck 2
George Cybenko 2
Yale Patt 2
Chunyan Miao 2
Sarvnaz Karimi 2
Umesh Bellur 2
Yimin Yang 2
Kotagiri Ramamohanarao 2
Jones Granatyr 2
Jean Hubaux 2
Levente Buttyán 2
Angelo Morzenti 2
Robert Sedgewick 2
Huan Liu 2
John Roddick 2
Sabri Mahmoud 2
Michael Wellman 2
Gary Sockut 2
Frank Piessens 2
Ronald Brachman 2
Siba Mohanty 2
Patrick Hall 2
Narain Gehani 2
Donald Knuth 2
Ann Fitzsimmons 2
Tom Love 2
Erik Sandewall 2
Dale Miller 2
Fabio Vitali 2
Daniel Schwabe 2
Ivona Brandić 2
Kim Bruce 2
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Edmund Clarke 2
Jeannette Wing 2
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Anne Kermarrec 2
Max Mühlhäuser 2
James Stanier 2
Edson Scalabrin 2
William Smyth 2
Catherine McGeoch 2
James Church 2
Robert Sproull 2
Asuman Dogac 2
Rosemary Simpson 2
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C Hoare 2
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George Lueker 2
Jonathan Walpole 2
Daniel Le Métayer 2
Philip Treleaven 2
Richard Millar 2
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Fabio Crestani 2
Stephen Taylor 2
Scott Thibault 2
Kevin Martin 2
Davide Brugali 2
Karl Lieberherr 2
Laura Lafave 2
Niall Murray 2
Brian Randell 2
Lori Clarke 2
Hafedh Mili 2
Peter Triantafillou 2
Georgia Psychou 2
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Matteo Rossi 2
Serge Demeyer 2
Jochen Huber 2
Alípio Jorge 2
Giuseppe Anastasi 2
Walter Kohler 2
Tomáš Skopal 2
Narsingh Deo 1
Jiying Zhao 1
László Böszörményi 1
Tobias Riege 1
Tim Meyer 1
Giuseppe Liotta 1
Hongjiang ZHANG 1
Yechiam Yemini 1
Alejandro Frery 1
José Marroquín 1
Author index 1
Marco Mesiti 1
Gunter Saake 1
Maozhen Li 1
Randal Bryant 1
Amit Sheth 1
Berl Hartman 1
Fred Carter 1
Marvin Paull 1
Abraham Waksman 1
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M Kherfi 1
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Sherali Zeadally 1
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Dawoud Dawoud 1
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Ouri Wolefson 1
Sariel Har-Peled 1
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Reidar Conradi 1
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Fábio Kon 1
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Elif Kavun 1
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M Murty 1
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Marjorie Templeton 1
Glenn Thompson 1
Calvin Mooers 1
Jungchang Huang 1
Naser Barghouti 1
Marco Eichelberg 1
Gokce Laleci 1
Anthony Sloane 1
Dietmar Saupe 1
Edward Lee 1
Nicholas Carriero 1
Mads Dam 1
Robert Cartwright 1
Richard Paige 1
J Hanna 1
David Rosenblum 1
George Huff 1
Gary Schneider 1
Leslie Mckenzie 1
Mechtild Wallrath 1
Salvatore March 1
Magdy Abadir 1
Sunggu Lee 1
Ke Wang 1
Yonghong Tian 1
Qiang Yang 1
Pamela Zave 1
Joseph Newcomer 1
Alper Yilmaz 1
Oliver Günther 1
Alan Smith 1
Devanshu Dhyani 1
Sourav Bhowmick 1

Affiliation Paper Counts
Koya University 1
Telecom & Management SudParis 1
New York University Abu Dhabi 1
Universite Grenoble Alpes 1
University of Nottingham Ningbo China 1
Information Technology University 1
Indraprastha Institute of Information Technology Delhi 1
Laboratoire d'Analyse et Modelisation de Systemes pour l'Aide a la Decision 1
Universite Paris Saclay 1
Laboratoire de Recherche en Informatique 1
University of Coimbra, Centre for Informatics and System 1
Fraunhofer Institute for Communication, Information Processing and Ergonomics 1
IBM, India 1
IBM Canada Ltd. 1
IBM, Japan 1
IBM Ireland Limited 1
IBM Australia Ltd 1
IBM Research, Ireland 1
CSIRO Data61 1
NYU Tandon School of Engineering 1
NHL University of Applied Sciences 1
Intuit Inc, Canada 1
NASA Kennedy Space Center 1
Curtin University of Technology, Perth 1
University of Aizu 1
Tata Institute of Fundamental Research 1
University of Texas System 1
Universite de Caen Basse Normandie 1
Pohang University of Science and Technology 1
University of Huddersfield 1
Hunan University 1
Pontifical Catholic University of Rio de Janeiro 1
Instituto Tecnologico de Morelia 1
Zuse Institute Berlin 1
Griffith University 1
California State University 1
VTT Technical Research Centre of Finland 1
University of London 1
Institute of Computer Science Crete 1
Laboratorio Nacional de Computacao Cientifica, Petropolis 1
Institute of Computer Science Academy of Sciences of the Czech Republic 1
Gwangju Institute of Science and Technology 1
American University of Beirut 1
Infosys Technologies Limited India 1
Interuniversity Micro-Electronics Center at Leuven 1
Institut Superieur de Gestion de Tunis 1
Institute of Mathmatics and Computer Science University of Latvia 1
University of Peradeniya 1
Reykjavik University 1
Indian Institute of Management Bangalore 1
Sultan Qaboos University 1
ITMO University 1
Bayerische Akademie der Wissenschaften 1
SS Cyril and Methodius University 1
Taiz University 1
SONY Computer Science Laboratory, Paris 1
Schlumberger Limited 1
Mathematical Applications Group, Inc. 1
NEC Corporation of America 1
Kestrel Institute 1
Carnegie Mellon Software Engineering Institute 1
W. W. Gaertner Research, Inc. 1
Defence Research and Development Canada Valcartier 1
Netflix, Inc. 1
Yahoo Research Barcelona 1
National Institute of Telecommunications, Poland 1
Poznan Supercomputing and Networking Center 1
University of Zabol 1
Universiti Tunku Abdul Rahman 1
Tunis-El Manar University, Faculty of Science 1
Banco de Mexico 1
National Security Research Institute, Korea 1
Lovely Professional University 1
National Laboratory of Advanced Informatics, Xalapa 1
Barcelona Supercomputing Center 1
Princeton Time Sharing Services, Inc. 1
Bloomberg L.P. 1
Nokia Networks 1
Birmingham City University 1
ObjectVideo Inc 1
Universite de Bordeaux 1
Aix Marseille Universite 1
IMDEA Institute 1
University of Wales 1
Centro Universitario de la Defensa, Zaragoza 1
Melbourne Institute of Technology 1
Texas Tech University at Lubbock 1
University of Michigan-Flint 1
IMAG 1
Stetson University 1
Indian Institute of Technology, Kanpur 1
The University of Warwick 1
University of Tehran 1
Trinity University 1
Rutherford Appleton Laboratory 1
Northern Arizona University 1
Universite Claude Bernard Lyon 1 1
Shanghai University 1
Brooklyn College 1
Catholic University of the Sacred Heart 1
University of Calcutta 1
Ecole Centrale Paris 1
University of Iowa 1
University of Salento 1
Motorola 1
Hunan University of Science and Technology 1
University of Ferrara 1
Missouri University of Science and Technology 1
University of Cincinnati 1
Guangzhou University 1
University of Alabama 1
St. Polten University of Applied Sciences 1
University of Portsmouth 1
Al Qassim University 1
University of Freiburg 1
University of Teesside 1
University of Udine 1
Lawrence Livermore National Laboratory 1
Clarkson University 1
School of Higher Technology - University of Quebec 1
IBM Austin Research Laboratory 1
World Health Organization 1
Ben-Gurion University of the Negev 1
Istituto Di Informatica E Telematica, Pisa 1
Federal Technological University of Parana 1
Fraunhofer Institute for Computer Graphics Research 1
Fraunhofer Institute for Industrial Engineering 1
Universidad de Alcala 1
College of Management Academic Studies Israel 1
NXP Semiconductors 1
Naval Sea Systems Command 1
Isfahan University of Technology 1
BP p.l.c. 1
Ludwig Maximilian University of Munich 1
Universite Paris Descartes 1
Monmouth University 1
University of Chicago 1
Wuhan University 1
State University of Maringa 1
University of California, Riverside 1
Institut Universitaire de France 1
Kent State University 1
Shell Global 1
Hosei University 1
Union Carbide Corporation 1
Infineon Technologies AG 1
University Hospital Leuven 1
University of Ljubljana 1
ESTEC - European Space Research and Technology Centre 1
University of California System 1
University of Kalyani 1
Ohio University Athens 1
Eastern Washington University 1
National Sun Yat-Sen University Taiwan 1
University of Bamberg 1
Worcester Polytechnic Institute 1
University of Wollongong 1
Multimedia University 1
SRA International Inc 1
Universite de Marne-La-Vallee 1
BRICS Basic Research in Computer Science 1
University of Oregon 1
Allegheny College 1
ONERA Centre de Toulouse 1
Electronic Data Systems 1
University of Warsaw 1
University of Hawaii at Manoa 1
Federal University of Vicosa 1
Adam Mickiewicz University in Poznan 1
SUNY Oswego 1
Hong Kong Baptist University 1
Aston University 1
Alexandru Ioan Cuza University 1
University of Maryland, Baltimore 1
University of Saskatchewan 1
University of Brescia 1
Hamilton College 1
University of Pittsburgh 1
University of Tulsa 1
University of Stuttgart 1
University of Aberdeen 1
Central Intelligence Agency 1
Szechenyi Istvan University 1
INSA Lyon 1
University of Talca 1
The University of Tennessee System 1
Michigan Technological University 1
Philips Research 1
Beijing University of Posts and Telecommunications 1
University of New Brunswick 1
Jinan University 1
INRIA Lorraine 1
Defence Research and Development Canada 1
Western Sydney University 1
Universite de Technologie de Compiegne 1
National Tsing Hua University 1
Parametric Technology Corporation 1
Xiamen University 1
The University of North Carolina at Greensboro 1
University of Wisconsin 1
Universite Paris Sorbonne - Paris IV 1
CSIC - Instituto de Investigacion en Inteligencia Artificial 1
Xerox Corporation 1
Computer Sciences Corporation - USA 1
Graz University of Technology 1
Osnabruck University of Applied Sciences 1
US Naval Underwater Systems Center 1
University of Calabria 1
Binghamton University State University of New York 1
University of Oldenburg 1
Information and Communications University 1
Jadavpur University 1
University of Coimbra 1
GE Global Research 1
University of North Florida 1
Universite Libre de Bruxelles 1
University of Lausanne 1
IEEE 1
University of Munster 1
Assiut University 1
Helsinki Institute for Information Technology 1
CIMAT 1
Chalmers University of Technology 1
University of Michigan 1
The Johns Hopkins School of Medicine 1
Hanscom AFB 1
University of Essex 1
Mississippi State University 1
University of Nevada, Reno 1
Federal University of Para 1
University of Ontario Institute of Technology 1
State University of New York System 1
California State University Fresno 1
Defense Advanced Research Projects Agency 1
Universidad Jaume I 1
Chinese University of Hong Kong 1
Swarthmore College 1
National Technical University of Athens 1
Instituto Portugues de Oncologia de Francisco Gentil Porto 1
University of Victoria 1
Hitachi, Ltd. 1
Mitsubishi Electric Research Laboratories 1
Defence and Science Technology Organisation Australia 1
University of Rostock 1
RAND Corporation 1
Universite de Bretagne-Sud 1
Thailand National Science and Technology Development Agency 1
King Abdulaziz University 1
University of Geneva 1
University of West London 1
Motorola Austin 1
Federal University of Alagoas 1
University of Houston 1
Google Inc. 1
Victoria University Melbourne 1
University of Mannheim 1
University of Western Macedonia 1
Union Bank of Switzerland 1
Brigham Young University 1
University of Salerno 1
Old Dominion University 1
Goethe University Frankfurt 1
Zwickau University of Applies Sciences 1
Rajiv Gandhi University 1
Australian National University 1
Universite des Sciences et Technologies de Lille 1
Roosevelt University 1
University of Limerick 1
Universite Paris 13 1
Wellesley College 1
Tokai University 1
Free University of Bozen-Bolzano 1
University of Kaiserslautern 1
University of Innsbruck 1
Indian Institute of Technology, Guwahati 1
University of Catania 1
Sarnoff Corporation 1
Keldysh Institute of Applied Mathematics, Russian Academy of Sciences 1
Bowdoin College 2
Birla Institute of Technology and Science Pilani 2
University of Erlangen-Nuremberg 2
Catholic University of Louvain, Louvain-la-Neuve 2
University of Liege 2
University of Macedonia 2
CSIRO Ict Centre 2
Microelectronics Computer Technology Corporation 2
Florida State University 2
Lockheed Martin Corporation 2
Universidad de Cordoba 2
Warsaw University of Technology 2
Claremont Graduate University 2
University of the District of Columbia 2
NASA Ames Research Center 2
Sintef Foundation for Scientific and Industrial Research At the Norwegian Institute of Technology 2
University of Nebraska 2
Oberlin College 2
Ecole Normale Superieure de Lyon 2
Malek Ashtar University of Technology 2
Unisys Corporation 2
Koc University 2
Facultes Universitaires Notre-Dame de la Paix 2
Lulea University of Technology 2
Louisiana State University 2
Jilin University 2
University of South Florida Tampa 2
Sandia National Laboratories, New Mexico 2
Technical University in Braunschweig 2
University of Salford 2
Linkoping University 2
Wayne State University 2
National Research Council Canada 2
Harvard University 2
University of Groningen 2
University of Oslo 2
Kyoto University 2
Japan Advanced Institute of Science and Technology 2
BBN Technologies 2
University of Sherbrooke 2
University of Reading 2
University of Milan - Bicocca 2
University of Antwerp 2
King Saud University 2
Czech Technical University in Prague 2
South National University 2
Institut de Recherche et Coordination Acoustique Musique 2
City University of Hong Kong 2
SRM University 2
Renmin University of China 2
University of California, Davis 2
Drexel University 2
Sun Microsystems 2
Bilkent University 2
Federal University of Sao Paulo 2
University of Pavia 2
Abo Akademi University 2
University of Kansas Lawrence 2
University of Augsburg 2
Tilburg University 2
University of Naples Federico II 2
Florida Atlantic University 2
University of South Wales 2
Panjab University 2
VSB - Technical University of Ostrava 2
Monash University Malaysia 2
Universidad Rey Juan Carlos 2
University of Buckingham 2
Loyola Marymount University 2
European Organization for Nuclear Research 2
Federal University of Ceara 2
University of Minho 2
University of Bern 2
Williams College 2
University of Greenwich 2
Istanbul Technical University 2
University of Macau 2
Ocean University of China 2
University of Connecticut 2
Faculdade de Ciencias e Tecnologia, New University of Lisbon 2
Auckland University of Technology 2
Fraunhofer Institute for Intelligent Analysis and Information Systems 2
Portland State University 2
University of Technology Sydney 2
Jozef Stefan Institute 2
University of California, Santa Cruz 2
Indian Statistical Institute, Kolkata 2
University of Brasilia 2
Shanghai Jiaotong University 2
University of Tokyo 2
Wright-Patterson AFB 2
Stanford Linear Accelerator Center 2
Keio University 2
University of East London 2
IBM Haifa Labs 2
Clemson University 2
University of Alabama at Birmingham 2
University of Rochester 2
FX Palo Alto Laboratory 2
Stevens Institute of Technology 2
University of the Basque Country 2
TELECOM ParisTech 2
IBM Zurich Research Laboratory 2
University of Miami 2
State University of Campinas 2
Aerospace Corporation 2
University of Bergen 2
Verimag 2
Free University of Berlin 2
Swedish Institute of Computer Science 2
NEC Corporation 2
Federal University of Pernambuco 2
Utah State University 2
University of South Australia 2
Korea Advanced Institute of Science & Technology 2
Indian Institute of Information Technology, Allahabad 2
Amherst College 2
University of Jyvaskyla 2
INRIA Rocquencourt 2
Michoacan University of Saint Nicholas of Hidalgo 2
Universite de Rouen 2
TU Dortmund University 2
Naval Postgraduate School 2
Nanjing University 2
Saarland University 2
Universite Abou Bekr Belkaid Tlemcen 2
University of Belgrade 2
Centre de Recherche sur l'Information Scientifique et Technique (CERIST) 2
University of Luxembourg 2
University of Malta 2
Instituto Tecnologico de Orizaba, Mexico 2
Sybase Inc. 2
Intermetrics, Inc. 2
Intel Technology India Pvt Ltd. 2
Institutions Markets Technologies, Lucca 2
Universite de Toulouse 2
Italian Institute of Technology 2
Karlsruhe Institute of Technology 2
Orange Labs 2
Interdisciplinary Institute for Broadband Technology 2
Communaute d'Universites et d'Etablissements Lille Nord de France 2
COMSATS Institute of Information Technology Lahore 2
Sunway University 2
SK Hynix Inc. 2
DePaul University 3
University of Szeged 3
University of New Hamsphire Durham 3
Lund University 3
Pontificia Universidad Catolica de Chile 3
EURECOM Ecole d'Ingenieurs & Centre de Recherche en Systemes de Communication 3
University of Regina 3
Temple University 3
Umea University 3
Panasonic Technologies, Inc. 3
University of Patras 3
London South Bank University 3
California Institute of Technology 3
McMaster University 3
University of Verona 3
Laval University 3
Indian Institute of Technology, Delhi 3
Oklahoma State University System 3
Concordia University, Montreal 3
Laboratoire Traitement et Communication de l'Information 3
Tongji University 3
German Research Center for Artificial Intelligence (DFKI) 3
Yahoo Research Labs 3
Istituto di Scienza e Tecnologie dell'Informazione A. Faedo 3
European Centre for Soft Computing 3
Hasso-Plattner-Institut fur Softwaresystemtechnik GmbH 3
IBM, Brasil 3
Guru Nanak Dev University India 3
Ecole Normale Superieure 3
University of Padua 3
Shenzhen University 3
Federal University of Amazonas 3
Universiti Teknologi Petronas 3
Kyung Hee University 3
Instituto de Engenharia de Sistemas e Computadores Investigacao e Desenvolvimento em Lisboa 3
University of Neuchatel 3
University of Calgary 3
Victoria University of Wellington 3
University of Valencia 3
University of Helsinki 3
George Washington University 3
University of Peloponnese 3
Uppsala University 3
Zhejiang University 3
University of Maribor 3
Iowa State University 3
Southeast University China, Nanjing 3
MIT Computer Science and Artificial Intelligence Laboratory 3
The University of Hong Kong 3
Universidad de Oviedo 3
University of Lugano 3
Amirkabir University of Technology 3
Hebrew University of Jerusalem 3
Uludag University 3
University of Vermont 3
University of Montreal 3
GM Research Lab 3
University of Colorado at Colorado Springs 3
University of KwaZulu-Natal 3
University of Piraeus 3
Robert Gordon University 3
University of Leeds 3
University of Windsor 3
University of Zurich 3
Roma Tre University 3
Oldenburger Forschungs- Und Entwicklungsinstitut fur Informatik-Werkzeuge Und -Systeme 3
Verizon Communications 3
Indian Institute of Science, Bangalore 3
Universidad de Jaen 3
University of Cantabria 3
University of Kentucky 3
National Institute of Technology Hamirpur 3
Universidad de Zaragoza 3
De Montfort University 3
Weizmann Institute of Science Israel 3
NEC Laboratories America, Inc. 3
Napier University 3
Washington State University Pullman 3
University of Science and Technology of China 3
Harbin Institute of Technology 3
Boston University 3
Research Academic Computer Technology Institute, Patras 3
University of Pretoria 3
University of Virginia 3
Queen Mary, University of London 3
University of Delaware 3
Universidad Autonoma de Barcelona 3
Open University of the Netherlands 3
Universidad de Valladolid 3
University of Maryland, Baltimore County 3
University of Utah 3
Fondazione Ugo Bordoni 4
University of Tartu 4
Siemens USA 4
Universite de Lyon 4
Singapore University of Technology and Design 4
Qatar Computing Research institute 4
Federal University of Rio de Janeiro 4
Lehigh University 4
Universiti Sains Malaysia 4
Demokritos National Centre for Scientific Research 4
Thapar University 4
Universite Pierre et Marie Curie 4
MIT Media Laboratory 4
Bar-Ilan University 4
University of Texas at Arlington 4
Universidad de Malaga 4
Southampton Solent University 4
Middle East Technical University 4
Indian Institute of Technology, Kharagpur 4
University College Dublin 4
The University of North Carolina at Charlotte 4
University of Porto 4
Ecole des Mines de Nantes 4
Nanjing University of Post and TeleCommunications 4
University of Adelaide 4
Universitat de Girona 4
University of Kent 4
University of Dublin, Trinity College 4
Polytechnic Institute of Turin 4
Georgia State University 4
Norwegian University of Science and Technology 4
United States National Science Foundation 4
Peking University 4
Federal University of Parana 4
University of Louisiana at Lafayette 4
Aristotle University of Thessaloniki 4
University of Tennessee, Knoxville 4
Southern Methodist University 4
University of Palermo 4
Technical University of Dresden 4
University of Magdeburg 4
University of Southern Denmark 4
Air Force Research Laboratory 4
Athens University of Economics and Business 4
Macquarie University 4
Athlone Institute of Technology 4
University of Bristol 4
West Virginia University 4
Anna University 4
Sun Yat-Sen University 4
Aalborg University 4
University of Central Florida 4
University of Durham 4
Technion - Israel Institute of Technology 4
New Jersey Institute of Technology 4
Ecoles polytechniques federales 4
University of Plymouth 4
Center For Research And Technology - Hellas 4
Microsoft Corporation 4
Complutense University of Madrid 4
University of Hamburg 4
Bournemouth University 4
Karlsruhe Institute of Technology, Campus South 4
Ecole des Mines de Paris 4
Boeing Corporation 4
University of Copenhagen 4
University at Buffalo, State University of New York 4
University of New Mexico 4
University of Leicester 4
U.S. Army Research Laboratory 4
Max Planck Institute for Informatics 5
Rutgers University-Newark Campus 5
General Motors 5
Kansas State University 5
Northwestern Polytechnical University China 5
University of Minnesota System 5
Federal University of Rio Grande do Sul 5
CNRS Centre National de la Recherche Scientifique 5
King Fahd University of Petroleum and Minerals 5
Technical University of Denmark 5
Universidad Politecnica de Valencia 5
University of Wurzburg 5
Oregon State University 5
Ca' Foscari University of Venice 5
University of Southern California, Information Sciences Institute 5
AGH University of Science and Technology 5
Federal University of Santa Catarina 5
University of Birmingham 5
Royal Holloway University of London 5
Flinders University of South Australia 5
Universiti Teknologi Malaysia 5
East China Normal University 5
University of Bari 5
Tufts University 5
Dublin City University 5
University of Genoa 5
Stony Brook University 5
Institute for Research in IT and Random Systems 5
Universite Paul Sabatier Toulouse III 5
University of Roma Tor Vergata 5
University of Quebec in Montreal 5
Technical University of Madrid 5
Federal University of Minas Gerais 5
Swinburne University of Technology 5
University of Queensland 5
University of Cambridge 5
Universitat Pompeu Fabra 5
Honeywell International Inc. 5
Microsoft Research Cambridge 5
Khalifa University 5
Humboldt University of Berlin 6
Universidad Carlos III de Madrid 6
Karlstad University 6
University of Amsterdam 6
McGill University 6
Institute for Infocomm Research, A-Star, Singapore 6
Illinois Institute of Technology 6
University of Texas at San Antonio 6
University of Modena and Reggio Emilia 6
Bremen University 6
Poznan University of Technology 6
Hong Kong Polytechnic University 6
The University of British Columbia 6
HP Labs 6
The University of Western Ontario 6
IBM Research 6
King's College London 6
University of Turin 6
INRIA Institut National de Rechereche en Informatique et en Automatique 6
General Electric Company 6
Brandeis University 6
Charles University 6
Yonsei University 6
Alpen-Adria-Universität Klagenfurt 6
Technical University of Munich 6
Pontifical Catholic University of Parana 6
Indiana University 6
Telcordia Technologies, Inc. 6
Heinrich Heine University 6
Huazhong University of Science and Technology 6
Naval Research Laboratory 6
University of Edinburgh 6
Commonwealth Scientific and Industrial Research Organization 6
Syracuse University 6
Rutgers, The State University of New Jersey 6
Institute of Computing Technology Chinese Academy of Sciences 6
Michigan State University 6
North Dakota State University 6
COMSATS Institute of Information Technology 6
Aalto University 6
Universidade de Lisboa 6
University of Beira Interior 7
Royal Institute of Technology 7
Universitat Oberta de Catalunya 7
Instituto Superior Tecnico 7
Korea University 7
University of Illinois 7
Yale University 7
Tel Aviv University 7
Washington University in St. Louis 7
RMIT University 7
University of Oulu 7
University of Passau 7
University of Trento 7
University of Sussex 7
Simon Fraser University 7
Hewlett-Packard Inc. 7
Texas A and M University 7
Brunel University London 7
University of Ulster 7
University of Notre Dame 7
HRL Laboratories 7
University of Konstanz 7
City University London 7
Nokia Corporation 7
Northeastern University 7
University of Athens 7
Queen's University Belfast 7
Intel Corporation 7
Lahore University of Management Sciences 7
University of Colorado at Boulder 8
University of Sheffield 8
Johns Hopkins University 8
Rice University 8
Northwestern University 8
University of Texas at Dallas 8
Technical University of Berlin 8
Open University 8
University of Washington, Seattle 8
National University of Singapore 8
Monash University 8
Institute for Systems and Computer Engineering of Porto 8
University of Canterbury 8
University of Surrey 8
New York University 8
The University of North Carolina at Chapel Hill 8
Rensselaer Polytechnic Institute 8
University of Sydney 8
University of California, Santa Barbara 8
University of Southern California 8
Budapest University of Technology and Economics 8
University of Western Australia 8
Eindhoven University of Technology 8
Arizona State University 9
Vanderbilt University 9
Queensland University of Technology 9
Indian Institute of Technology, Bombay 9
AT&T Inc. 9
Carleton University 9
Vienna University of Technology 9
George Mason University 9
University of Florence 9
University College London 9
University of Oxford 9
University of Illinois at Chicago 9
University of Roma La Sapienza 9
Duke University 10
Center for Mathematics and Computer Science - Amsterdam 10
Queen's University, Kingston 10
Oregon Health and Science University 10
University of Twente 10
Swiss Federal Institute of Technology, Zurich 10
Vrije Universiteit Brussel 10
Virginia Tech 10
University of Pisa 10
Delft University of Technology 11
Universitat Politecnica de Catalunya 11
Dartmouth College 11
National University of Defense Technology China 11
Universidad de Granada 11
Palo Alto Research Center Incorporated 11
University of Milan 11
Pennsylvania State University 12
Princeton University 12
University of Manchester 12
Nanyang Technological University 12
Newcastle University, United Kingdom 12
Hong Kong University of Science and Technology 12
RWTH Aachen University 12
Italian National Research Council 12
IBM, USA 12
Microsoft Research 12
Johannes Kepler University Linz 12
University of Nebraska - Lincoln 12
Columbia University 12
University of Glasgow 13
University of Arizona 13
University of York 13
Oak Ridge National Laboratory 13
University of Vienna 13
University of New South Wales 13
University of Aarhus 13
SRI International 14
University of Pennsylvania 14
University of California, Los Angeles 14
University of California, San Diego 14
Cornell University 15
University of Bologna 15
Ohio State University 16
North Carolina State University 16
IBM Almaden Research Center 16
Technical University of Darmstadt 16
IBM Thomas J. Watson Research Center 16
Lancaster University 16
Tsinghua University 16
Swiss Federal Institute of Technology, Lausanne 16
Universidad de Chile 17
University of Waterloo 17
University of Nottingham 17
Vrije Universiteit Amsterdam 18
Imperial College London 18
National Institute of Standards and Technology 18
Politecnico di Milano 18
University of Sao Paulo 19
Massachusetts Institute of Technology 19
University of Wisconsin Madison 19
University of Toronto 20
Catholic University of Leuven, Leuven 20
University of Southampton 20
Georgia Institute of Technology 21
University Michigan Ann Arbor 21
University of Alberta 21
MITRE Corporation 22
University of Ottawa, Canada 22
University of Florida 23
University of Massachusetts Amherst 23
Stanford University 26
University of Minnesota Twin Cities 26
University of Illinois at Urbana-Champaign 27
University of California, Irvine 27
University of Malaya 27
University of Melbourne 28
Nokia Bell Labs 29
University of California, Berkeley 29
University of Texas at Austin 34
Brown University 38
Purdue University 39
Florida International University 39
University of Maryland 41
Carnegie Mellon University 64

ACM Computing Surveys (CSUR)
Archive


2018
Volume 51 Issue 1, February 2018  Issue-in-Progress
Volume 51 Issue 2, February 2018  Issue-in-Progress
Volume 50 Issue 6, January 2018

2017
Volume 50 Issue 5, November 2017
Volume 50 Issue 4, November 2017
Volume 50 Issue 3, October 2017
Volume 50 Issue 2, June 2017
Volume 50 Issue 1, April 2017
Volume 49 Issue 4, February 2017

2016
Volume 49 Issue 3, December 2016
Volume 49 Issue 2, November 2016
Volume 49 Issue 1, July 2016
Volume 48 Issue 4, May 2016
Volume 48 Issue 3, February 2016

2015
Volume 48 Issue 2, November 2015
Volume 48 Issue 1, September 2015
Volume 47 Issue 4, July 2015
Volume 47 Issue 3, April 2015
Volume 47 Issue 2, January 2015

2014
Volume 47 Issue 1, July 2014
Volume 46 Issue 4, April 2014
Volume 46 Issue 3, January 2014

2013
Volume 46 Issue 2, November 2013
Volume 46 Issue 1, October 2013
Volume 45 Issue 4, August 2013
Volume 45 Issue 3, June 2013
Volume 45 Issue 2, February 2013

2012
Volume 45 Issue 1, November 2012
Volume 44 Issue 4, August 2012
Volume 44 Issue 3, June 2012
Volume 44 Issue 2, February 2012
Volume 44 Issue 1, January 2012

2011
Volume 43 Issue 4, October 2011
Volume 43 Issue 3, April 2011
Volume 43 Issue 2, January 2011

2010
Volume 43 Issue 1, November 2010
Volume 42 Issue 4, June 2010
Volume 42 Issue 3, March 2010
Volume 42 Issue 2, February 2010

2009
Volume 42 Issue 1, December 2009
Volume 41 Issue 4, October 2009
Volume 41 Issue 3, July 2009
Volume 41 Issue 2, February 2009
Volume 41 Issue 1, January 2009

2008
Volume 40 Issue 4, October 2008
Volume 40 Issue 3, August 2008
Volume 40 Issue 2, April 2008
Volume 40 Issue 1, February 2008

2007
Volume 39 Issue 4, 2007
Volume 39 Issue 3, 2007
Volume 39 Issue 2, 2007
Volume 39 Issue 1, 2007

2006
Volume 38 Issue 4, 2006
Volume 38 Issue 3, 2006
Volume 38 Issue 2, 2006
Volume 38 Issue 1, 2006

2005
Volume 37 Issue 4, December 2005
Volume 37 Issue 3, September 2005
Volume 37 Issue 2, June 2005
Volume 37 Issue 1, March 2005

2004
Volume 36 Issue 4, December 2004
Volume 36 Issue 3, September 2004
Volume 36 Issue 2, June 2004
Volume 36 Issue 1, March 2004

2003
Volume 35 Issue 4, December 2003
Volume 35 Issue 3, September 2003
Volume 35 Issue 2, June 2003
Volume 35 Issue 1, March 2003

2002
Volume 34 Issue 4, December 2002
Volume 34 Issue 3, September 2002
Volume 34 Issue 2, June 2002
Volume 34 Issue 1, March 2002

2001
Volume 33 Issue 4, December 2001
Volume 33 Issue 3, September 2001
Volume 33 Issue 2, June 2001
Volume 33 Issue 1, March 2001

2000
Volume 32 Issue 4, Dec. 2000
Volume 32 Issue 3, Sept. 2000
Volume 32 Issue 2, June 2000
Volume 32 Issue 1, March 2000
Volume 32 Issue 1es, March 2000

1999
Volume 31 Issue 4es, Dec. 1999
Volume 31 Issue 4, Dec. 1999
Volume 31 Issue 3es, Sept. 1999
Volume 31 Issue 3, Sept. 1999
Volume 31 Issue 2, June 1999
Volume 31 Issue 2es, June 1999
Volume 31 Issue 1, March 1999

1998
Volume 30 Issue 4, Dec. 1998
Volume 30 Issue 3es, Sept. 1998 Special issue: electronic supplement to the September 1998 issue
Volume 30 Issue 3, Sept. 1998
Volume 30 Issue 2, June 1998
Volume 30 Issue 1, March 1998

1997
Volume 29 Issue 4, Dec. 1997
Volume 29 Issue 3, Sept. 1997
Volume 29 Issue 2, June 1997
Volume 29 Issue 1, March 1997

1996
Volume 28 Issue 4es, Dec. 1996 Special issue: position statements on strategic directions in computing research
Volume 28 Issue 4, Dec. 1996 Special ACM 50th-anniversary issue: strategic directions in computing research
Volume 28 Issue 3, Sept. 1996
Volume 28 Issue 2, June 1996
Volume 28 Issue 1, March 1996

1995
Volume 27 Issue 4, Dec. 1995
Volume 27 Issue 3, Sept. 1995
Volume 27 Issue 2, June 1995
Volume 27 Issue 1, March 1995

1994
Volume 26 Issue 4, Dec. 1994
Volume 26 Issue 3, Sept. 1994
Volume 26 Issue 2, June 1994
Volume 26 Issue 1, March 1994

1993
Volume 25 Issue 4, Dec. 1993
Volume 25 Issue 3, Sept. 1993
Volume 25 Issue 2, June 1993
Volume 25 Issue 1, March 1993

1992
Volume 24 Issue 4, Dec. 1992
Volume 24 Issue 3, Sept. 1992
Volume 24 Issue 2, June 1992
Volume 24 Issue 1, March 1992

1991
Volume 23 Issue 4, Dec. 1991
Volume 23 Issue 3, Sept. 1991
Volume 23 Issue 2, June 1991
Volume 23 Issue 1, March 1991

1990
Volume 22 Issue 4, Dec. 1990
Volume 22 Issue 3, Sept. 1990 Special issue on heterogeneous databases
Volume 22 Issue 2, June 1990
Volume 22 Issue 1, March 1990

1989
Volume 21 Issue 4, Dec. 1989
Volume 21 Issue 3, Sep. 1989
Volume 21 Issue 2, Jun. 1989
Volume 21 Issue 1, March 1989

1988
Volume 20 Issue 4, Dec. 1988
Volume 20 Issue 3, Sept. 1988
Volume 20 Issue 2, June 1988
Volume 20 Issue 1, March 1988

1987
Volume 19 Issue 4, Dec. 1987
Volume 19 Issue 3, Sept. 1987
Volume 19 Issue 2, June 1987
Volume 19 Issue 1, March 1987

1986
Volume 18 Issue 4, Dec. 1986
Volume 18 Issue 3, Sept. 1986
Volume 18 Issue 2, June 1986
Volume 18 Issue 1, March 1986

1985
Volume 17 Issue 4, Dec. 1985 The MIT Press scientific computation series
Volume 17 Issue 3, Sept. 1985
Volume 17 Issue 2, June 1985
Volume 17 Issue 1, March 1985 Annals of discrete mathematics, 24

1984
Volume 16 Issue 4, Dec. 1984
Volume 16 Issue 3, Sept. 1984
Volume 16 Issue 2, June 1984
Volume 16 Issue 1, March 1984

1983
Volume 15 Issue 4, December 1983
Volume 15 Issue 3, Sept. 1983
Volume 15 Issue 2, June 1983
Volume 15 Issue 1, March 1983

1982
Volume 14 Issue 4, Dec. 1982
Volume 14 Issue 3, Sept. 1982
Volume 14 Issue 2, June 1982
Volume 14 Issue 1, March 1982

1981
Volume 13 Issue 4, Dec. 1981
Volume 13 Issue 3, Sept. 1981
Volume 13 Issue 2, June 1981
Volume 13 Issue 1, March 1981

1980
Volume 12 Issue 4, Dec. 1980
Volume 12 Issue 3, Sept. 1980
Volume 12 Issue 2, June 1980
Volume 12 Issue 1, March 1980

1979
Volume 11 Issue 4, Dec. 1979
Volume 11 Issue 3, Sept. 1979
Volume 11 Issue 2, June 1979
Volume 11 Issue 1, March 1979

1978
Volume 10 Issue 4, Dec. 1978
Volume 10 Issue 3, Sept. 1978
Volume 10 Issue 2, June 1978
Volume 10 Issue 1, March 1978

1977
Volume 9 Issue 4, Dec. 1977
Volume 9 Issue 3, Sept. 1977
Volume 9 Issue 2, June 1977
Volume 9 Issue 1, March 1977

1976
Volume 8 Issue 4, Dec. 1976
Volume 8 Issue 3, Sept. 1976
Volume 8 Issue 2, June 1976
Volume 8 Issue 1, March 1976

1975
Volume 7 Issue 4, Dec. 1975
Volume 7 Issue 3, Sept. 1975
Volume 7 Issue 2, June 1975
Volume 7 Issue 1, March 1975

1974
Volume 6 Issue 4, Dec. 1974
Volume 6 Issue 3, Sept. 1974
Volume 6 Issue 2, June 1974
Volume 6 Issue 1, March 1974

1973
Volume 5 Issue 4, Dec. 1973
Volume 5 Issue 3, Sept. 1973
Volume 5 Issue 2, June 1973
Volume 5 Issue 1, March 1973

1972
Volume 4 Issue 4, Dec. 1972
Volume 4 Issue 3, Sept. 1972
Volume 4 Issue 2, June 1972
Volume 4 Issue 1, March 1972

1971
Volume 3 Issue 4, Dec. 1971
Volume 3 Issue 3, Sept. 1971
Volume 3 Issue 2, June 1971
Volume 3 Issue 1, March 1971

1970
Volume 2 Issue 4, Dec. 1970
Volume 2 Issue 3, Sept. 1970
Volume 2 Issue 2, June 1970
Volume 2 Issue 1, March 1970

1969
Volume 1 Issue 4, Dec. 1969
Volume 1 Issue 3, Sept. 1969
Volume 1 Issue 2, June 1969
Volume 1 Issue 1, March 1969
 
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