Calls for Papers for Journals

The IEEE Computer Society Transactions publish archive-quality research papers on a variety of topics related to computer science and technology. If you are interested in publishing with us, please view our list of on-going calls for papers to determine which journal best suits your area of expertise.



CALIEEE Computer Architecture Letters

Ongoing Call-For-Papers

IEEE Computer Architecture Letters (CAL), a bi-annual forum for fast publication of new, high-quality ideas in the form of short, critically refereed, technical papers, is seeking submissions on any topic in computer architecture.

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TACIEEE Transactions on Affective Computing

Ongoing Call-For-Papers

The IEEE Transactions on Affective Computing (TAC), a new bi-annual online-only publication, is seeking submissions of original research on the principles and theories explaining why and how affective factors condition interaction between humans and technology, on how affective sensing and simulation techniques can inform our understanding of human affective processes, and on the design, implementation, and evaluation of systems that carefully consider affect among the factors that influence their usability. Surveys of existing work will be considered for publication when they propose a new viewpoint on the history and the perspective on this domain.

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TBDIEEE Transactions on Big Data

Special Issue on Big Data from Space

Big Data from Space refers to the massive spatio-temporal Earth and Space observation data collected by space-borne sensors, and their use in synergy with data coming from other aerial or ground based sensors or sources. This domain is currently facing sharp development with numerous new initiatives and breakthroughs ranging from computational sensors to space sensor web, covering almost the entire electromagnetic spectrum from Gamma-rays to radiowaves, or from gravitational to quantum principles. The analysis of these data largely contributes to the broad scientific effort to understand the Universe and to enhance life on Earth. The recent multiplication of open access initiatives to Big Data from Space is giving momentum to the field by widening substantially the spectrum of scientific communities and users as well as awareness among the public while offering new benefits at all levels from individual citizens to the whole society.

In this Special Issue, we solicit high-quality scientific research articles, in areas such as, but not limited to, Earth Observation, planetary sciences, Space and Security, deep space exploration, astrophysics, satellite telecommunication, navigation and positioning systems, addressing key challenges and innovative solutions on how Big Data paradigms can improve the space sciences, technologies, and applications.

Submission Deadline: 31 Jan. 2018. View PDF

Special Issue on Edge Analytics in the Internet of Things

The cloud-based Internet of Things (IoT) that connects a wide variety of things including sensors, mobile devices, vehicles, manufacturing machines, and industrial equipments, etc. is changing the way we live. IDC forecasts that the IoT will grow to 50 billion connected devices by 2020, and will generate an unprecedented volume and variety of data. However, moving this big volume of data from the network edge to a central data center for processing and analysis not only adds latency but also consumes network bandwidth. Therefore, the cloud-based IoT with a centralized data center may not be able to enable smart environments, such as cities, homes, schools, etc., or smart systems, such as automated vehicles, traffic controls, factories, etc., whose data need to be analyzed and acted on quickly. This is especially true in scenarios such as health monitoring or autopilot, where milliseconds can have fatal consequences. Such demand indicates that data processing and analysis has to be performed where the data are collected or generated instead of waiting for the data to be sent back to the centralized data center. Also, often these smart environments or systems need to be capable of self-monitoring, self-diagnosing, self-healing, and self-directing, and thus the task of edge-based data analytics may need to incorporate the technology of machine learning. Thus, there is a need to find a way to push intelligence from the central data center to the edge of the network. Indeed, IDC also predicts that up to 40% of IoT data will need edge-based analytics for applications that need real-time action. To solve this issue, fog computing, in which a set of interconnected micro data centers, called fog nodes, are deployed in between the things and the cloud data center, has been adopted as a bridge linking IoT devices and their remote data center. Since a fog node can run IoT-enabled applications for real-time data analytics with millisecond response time, fog computing enables application services of the IoT to be performed close to their consumers, and has created an emerging technology { edge analytics. Meanwhile, some IoT things are getting more capable and more powerful, making edge-based analytics possible. On the other hand, for the moment, most of the IoT things still do not have the computing and storage resources to perform intelligent analytics directly. For such IoT things, a nearby fog node or cloudlet may perform the tasks on their behalf. Furthermore, since data sources are widely distributed, some analytics tasks may need to be collaboratively performed by a set of fog nodes working together with some IoT things. As such, orchestrating fog nodes by means of topology control and network function virtualization may leverage the edge analytics performance.

Though edge analytics is in its nascent stage, it is getting more and more popular. The goal of this special issue is to provide a forum for researchers working on IoT and fog computing to present their recent research results in edge analytics.

Submission Deadline: 1 Feb. 2018. View PDF

Ongoing Call-For-Papers

The IEEE Transactions on Big Data (TBD) publishes peer reviewed articles with big data as the main focus. The articles will provide cross disciplinary innovative research ideas and applications results for big data including novel theory, algorithms and applications. Research areas for big data include, but are not restricted to, big data analytics, big data visualization, big data curation and management, big data semantics, big data infrastructure, big data standards, big data performance analyses, intelligence from big data, scientific discovery from big data security, privacy, and legal issues specific to big data. Applications of big data in the fields of endeavor where massive data is generated are of particular interest.

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TCIEEE Transactions on Computers

Special Section on Emerging Non-Volatile Memory Technologies: From Devices to Architectures and Systems

Emerging non-volatile memory (NVM) technologies (e.g., 3D NAND flash, STT-MRAM, ReRAM, PCM, FeRAM) have attracted significant interest in recent years because of the fast-growing performance and capacity demands on memory and storage in the big data era. Well-known examples are the 3D XPoint memory (or Optane storage devices), along with various NVDIMM hybrid memory and MRAM device technologies. They have shown potential towards larger memory and storage capacities with nearly zero leakage power, while extending memory/system architecture design approaches. The unique characteristics of NVM technologies not only introduce new opportunities, but simultaneously create challenges to the designs at multiple levels of abstraction in computer systems, including those of device management, memory/storage architecture, and system design. Thus, for the emerging NVM technologies, there is an urgent need for technology innovation, modeling, analysis, design, and application, ranging from device-level to system-level.

Submission deadline: 28 Feb. 2018. View PDF

Ongoing Call-For-Papers

IEEE Transactions on Computers (TC), a monthly archival publication, is seeking submissions of papers, brief contributions, and comments on research in areas that include, but are not limited to, computer organizations and architectures; operating systems, software systems, and communication protocols; real-time systems and embedded systems; digital devices, computer components, and interconnection networks; and new and important applications and trends.

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TCCIEEE Transactions on Cloud Computing

Ongoing Call-For-Papers

IEEE Transactions on Cloud Computing (TCC), will publish peer-reviewed articles that provide innovative research ideas and applications results in all areas relating to cloud computing. Topics relating to novel theory, algorithms, performance analyses and applications of techniques relating to all areas of cloud computing will be considered for the transactions. The transactions will consider submissions specifically in the areas of cloud security, tradeoffs between privacy and utility of cloud, cloud standards, the architecture of cloud computing, cloud development tools, cloud software, cloud backup and recovery, cloud interoperability, cloud applications management, cloud data analytics, cloud communications protocols, mobile cloud, liability issues for data loss on clouds, data integration on clouds, big data on clouds, cloud education, cloud skill sets, cloud energy consumption, cloud applications in commerce, education and industry. This title will also consider submissions on Infrastructure as a Service (IaaS), Platform as a Service (PaaS), Software as a Service (SaaS), and Business Process as a Service (BPaaS).

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TDSCIEEE Transactions on Dependable and Secure Computing

Ongoing Call-For-Papers

IEEE Transactions on Dependable and Secure Computing (TDSC), a bimonthly archival publication, is seeking submissions of papers that focus on research into foundations, methodologies, and mechanisms that support the achievement—through design, modeling, and evaluation—of systems and networks that are dependable and secure to the desired degree without compromising performance. The focus also includes measurement, modeling, and simulation techniques, and foundations for jointly evaluating, verifying, and designing for performance, security, and dependability constraints.

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TETCIEEE Transactions on Emerging Topics in Computing

Technical Tracks

IEEE Transactions on Emerging Topics in Computing (TETC) seeks original manuscripts for submission under Technical Tracks. In a track the technical contents of a submitted manuscript must be of an emerging nature and fall within the scope and competencies of the Computer Society. Manuscripts not abiding by these specifications will be administratively rejected. The topics of interest for the Technical Tracks are as follows:

  • Enterprise Computing Systems
  • Computational Networks
  • Hardware and Embedded System Security
  • Educational Computing
  • High Performance Computing
  • Next Generation Wireless Computing Systems
  • Computer System Security
  • Emerging Hardware for Computing

Submitted articles must describe original research which is not published or currently under review by other journals or conferences. Extended conference papers should be identified in the submission process and have considerable novel technical content; all submitted manuscripts will be screened using a similarity checker tool. As an author, you are responsible for understanding and adhering to our submission guidelines. You can access them at the IEEE Computer Society web site, Please thoroughly read these before submitting your manuscript.

Please submit your paper to Manuscript Central at and select the "Technical Track" option in the drop-down menu for "Manuscript Type".

Please address all other correspondence regarding this Call For Papers to Fabrizio Lombardi, EIC of IEEE TETC,

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Special Issue on Scholarly Big Data

Recent years have witnessed the rapid growth of scholarly information due to advancements in information and communication technologies. Scholarly big data is the vast quantity of research output, which can be acquired from digital libraries, such as journal articles, conference proceedings, theses, books, patents, experimental data, etc. It also encompasses various scholarly related data, such as author demography, academic social networks, and academic activity. The abundance of scholarly data sources enables researchers to study the academic society from a big data perspective. The dynamic and diverse nature of scholarly big data requires different data management techniques and advanced data analysis methods. Today’s researchers realize that new scholarly-big-data specific platform/management/techniques/ are needed. Therefore, a set of emerging topics such as scholarly big data acquisition, storage, management and processing are important issues for the research community. Manuscripts submitted to TETC should be computing focused.

This special issue focuses on covering the most recent research results in scholarly big data management and computing. The issue welcomes both theoretical and applied research (e.g. platforms and applications). It will encourage the effort to share data, advocate gold-standard evaluation among shared data, and promote the exploration of new directions.

Submission Deadline: 1 Dec. 2017. View PDF

Special Issue on Design of Reversible Computing Systems

IEEE Transaction on Emerging Topics in Computing (TETC) seeks original manuscripts for a Special Issue/Section on Design of Reversible Computing Systems scheduled to appear in the first issue of 2019.

Over the coming decade, the historical trend of exponentially-increasing computer performance for systems at a given cost level is expected to slow, as conventional digital technology approaches practical limits to its computational energy efficiency, which in turn limits system performance within any given power and cooling constraints. In the long term, due to fundamental connections between thermodynamics and information theory, the only possible way to continue improving the energy-efficiency and affordable performance of computing systems indefinitely is if their designs increasingly thoroughly apply reversible computing principles. However, the question of exactly how to design practical, cost-competitive reversible computing systems is an extremely challenging engineering problem, which today still remains far from being fully solved. To overhaul the existing industrial infrastructure of manufacturing processes, design tools and software in all of the ways that will likely be needed to fully realize the potential of this unconventional but essential new computing paradigm will arguably require a multi-billion-dollar sustained investment in associated research and development activities. We cannot assume this investment will be made until the research community builds a sufficiently solid case showing that workable implementation approaches exist and are economically feasible. It is the goal of this special issue to solicit high-quality contributions across all levels of computing that pointedly address the crucial issues in the theory, design, and engineering analysis of reversible computing systems, so as to eliminate all of the remaining conceptual roadblocks that impede investment, and establish that the reversible computing paradigm indeed provides a viable path forwards, towards an unbounded new future for computing.

Submission Deadline: 1 Mar. 2018. View PDF

Ongoing Call-For-Papers

IEEE Transactions on Emerging Topics in Computing is an open access journal that publishes papers on emerging aspects of computer science, computing technology, and computing applications not currently covered by other IEEE Computer Society Transactions. Some examples of emerging topics in computing include: IT for Green, Synthetic and organic computing structures and systems, Advanced analytics, Social/occupational computing, Location-based/client computer systems, Morphic computer design, Electronic game systems, & Health-care IT. TETC aggressively seeks proposals for Special Sections and Issues focusing on emerging topics. Prospective Guest Editors should contact the TETC EIC Fabrizio Lombardi at for further details.

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ToHIEEE Transactions on Haptics

Ongoing Call-For-Papers

The IEEE Transactions on Haptics (ToH), a quarterly archival publication, is seeking submissions that address the science, technology, and applications associated with information acquisition and object manipulation through touch.

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TKDEIEEE Transactions on Knowledge & Data Engineering

Ongoing Call-For-Papers

IEEE Transactions on Knowledge and Data Engineering (TKDE), a monthly archival publication, is seeking submissions that present well-defined theoretical results and empirical studies that have a potential impact on the acquisition, management, storage, and graceful degeneration of knowledge and data, as well as in provision of knowledge and data services. We welcome treatments of the role of knowledge and data in the development and use of information systems and in the simplification of software and hardware development and maintenance.

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TLTIEEE Transactions on Learning Technologies

Ongoing Call-For-Papers

IEEE Transactions on Learning Technologies (TLT), a quarterly archival online-only publication using a delayed open access publication model, is seeking submissions about all advances in learning technologies, such as innovative online learning systems, personalized and adaptive learning systems, and learning with mobile devices

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TMCIEEE Transactions on Mobile Computing

Ongoing Call-For-Papers

IEEE Transactions on Mobile Computing (TMC), a monthly archival publication, is seeking submissions of mature works of research, typically those that have appeared in part in conferences, and that focus on the key technical issues related to, but not limited to, architectures, support services, algorithm/protocol design and analysis, mobile environments, mobile communication systems, and emerging technologies.

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TMSCSIEEE Transactions on Multi-Scale Computing Systems

Special Issue on Advances in High-Performance Interconnects

High-performance interconnects have had a major role in high-performance scientific computing for several decades. They are also gaining traction in cloud computing and massive traditional data centers. The intersection of high-performance interconnects between these two areas spans networks of all scales, from small on-chip interconnects to whole system interconnects with hundreds of thousands of links. Innovation of new network architectures both in terms of software and hardware systems is a key component in next generation systems. As the number of cores in a single node increases, the bandwidth and message rates required from a single network interface controller (NIC) has continued to rise rapidly. Improvements to NIC architectures are required in order to keep up with increasing core counts on CPUs. In addition, improvements in network topologies have driven down costs by reducing the number of links and switches required to provide very high performance. These changes have also introduced interesting challenges as innovation in network topologies requires adopting adaptive routing and advanced congestion avoidance mechanisms. This special issue concentrates on the latest cutting edge developments in interconnects from both the cloud/data center and scientific computing communities.

This special issue invites original research papers and extended papers from the 25th Annual Symposium on High-Performance Interconnects that showcase cutting-edge research on hardware and software architectures and implementations for interconnection networks of all scales.

Submission deadline: 1 Jan. 2018. View PDF.

Ongoing Call-For-Papers

The IEEE Transactions on Multi-Scale Computing Systems (TMSCS) is a peer-reviewed publication devoted to computing systems that exploit multi-scale and multi-functionality. These systems consist of computational modules that utilize diverse implementation scales (from micro down to the nano scale) and heterogeneous hardware and software functionalities; moreover, these modules can be based on operating principles and models that are valid within but not necessarily across their respective scales and computational domains. Contributions to TMSCS must address computation of information and data at higher system-levels for processing by digital and emerging domains. These computing systems can also rely on diverse frameworks based on paradigms at molecular, quantum and other physical, chemical and biological levels. Innovative techniques such as inexact computing, management/optimization of smart infrastructures and neuromorphic modules are also considered within scope.

This publication covers pure research and applications within novel topics related to high performance computing, computational sustainability, storage organization and efficient algorithmic information distribution/processing; articles dealing with hardware/software implementations (functional units, architectures and algorithms), multi-scale modeling and simulation, mathematical models and designs across multiple scaling domains and functions are encouraged. Novel solutions based on digital and non-traditional emerging paradigms are sought for improving performance and efficiency in computation. Contributions on related topics would also be considered for publication.

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TNSEIEEE Transactions on Network Science and Engineering

Special Issue on Network Science in Biological and Bio-inspired Systems

Network science offers a novel framework for systematically exploring the structure and functions of biological and bio-inspired systems, which has attracted much attention within the IEEE and beyond. Indeed, networks have been widely used, not only to represent the couplings of various types, e.g., synapses that connect neurons (connectome), physical contacts between proteins (interactome), chemical reactions of metabolism, gene regulation, and swarming interactions, but also to analyze the functions and underlying working mechanisms of these systems. Given the growing activity of both theory and applications across computer science, physics and biology, the aim of this special issue is to provide a venue for researchers with different backgrounds to discuss the fruitful results, recent advances and challenges in the interdisciplinary area of biological and bio-inspired networks.

Submission deadline: 31 Dec. 2017. View PDF

Special Issue on Big Data and Artificial Intelligence for Network Technologies

Generation of huge amounts of data, called big data, across different sectors such as banking, healthcare, retail and education, among others, is creating the needs for efficient tools to manage those data. Artificial intelligence (AI) has become the powerful tools in dealing with big data with recent breakthroughs at multiple fronts in machine learning, including deep learning. Meanwhile, information networks are becoming larger and more complicated, generating a huge amount of runtime statistics data such as traffic load, resource usages. The emerging big data and AI technologies may include a bunch of new requirements, applications and scenarios such as ehealth, Intelligent Transportation Systems (ITS), Industrial Internet of Things (IIoT), and smart cities in the term of computing networks. The big data and AI driven network technologies also provide an unprecedented patients to discover new features, to characterize user demands and system capabilities in network resource assignment, security and privacy, system architecture, modeling and applications, which needs more explorations. We believe that these explorations will greatly benefit the academia and Information and Communication Technologies (ICT) industries.

Submission deadline: 30 Jan. 2018. View PDF

Special Issue on Network of Cyber-Social Networks: Modeling, Analyses, and Control

Network of cyber-social networks (NCN) is a promising new area that has recently attracted significant interests. Its core differentiator is the tight conjoining among heterogeneous cybersocial networks or between cyber networks and physical networks. The focus of this proposed special issue is to address the interdependence of NCN components that facilitates its modeling, analysis, and control.

Over the past decade, we have witnessed an unprecedented growth of communication networks and online social networks in cyber world that “teleports” us to interact with remote people and/or objects. With the development of cyber technologies, heterogeneous networks become increasingly interdependent. Examples include mobile social networks that exploit social ties, modern power networks that rely on the control and communication over the Internet, and intelligent transportation networks that utilize communication networks to monitor traffic congestion in real time. A mobile social network is a typical multi-layer NCN where the shortrange device-to-device communication is influenced by the human social behavior (trust and reciprocity). A modern power network demonstrates a fundamental NCN property where the interconnecting links between networks may induce or impede the risk of cascading failures. Until recently, these heterogeneous networks were mostly treated as separate entities, leaving their complex interactions unexplored.

Submission deadline: 1 Feb. 2018. View PDF

Special Issue on Network Science for High-Confidence Cyber-Physical Systems

Cyber-Physical Systems (CPS) refer to the engineered systems that can seamlessly integrate the physical world with the cyber world via advanced computation and communication capabilities. Today’s CPS involve smart devices that bring into CPS ubiquitous intelligence, leading to the innovation and competition within sectors such as agriculture, healthcare, transportation, energy, manufacturing, environment, building design and automation, etc., which can completely transform the ways people interact with the physical world. To enable high-confidence CPS for better benefits realization as well as supporting emerging applications, network science based theories and methodologies are needed to cope with the ever-growing complexity of smart CPS, to predict the system behaviors, and to model the deep inter-dependencies among CPS and the natural world. Nevertheless, current research on network science approaches to investigate the challenges in high-confidence CPS is quite scattered. The major objective of this special issue is to exploit various network science techniques such as modeling, analysis, mining, visualization, and optimization to advance the science of supporting high-confidence CPS for greater assurances of security, safety, scalability, efficiency, and reliability.

Submission deadline: 1 Mar. 2018. View PDF

Special Issue on Network Science for Internet of Things (IoT)

Internet of Things (IoT) applications have been growing significantly in recent years and the so-called IoT ecosystem enables seamless connectivity that is enabling many applications such as smart home, smart health, connected vehicle and smart grid and others. The network infrastructure, connectivity and dynamics in the IoT ecosystem are becoming increasingly complex, scalable and heterogeneous, opening up many challenges for network sciences and system engineering including architectural, operational, service and security challenges. In addition, the interconnection and cooperation of things (e.g., connected sensors and devices) rely on the both the network environment, service provided and the physical environments. However, many related topics such as network control, evolutions, efficiency, security, privacy, network properties, network and device heterogeneity have not been well studied in the literature for the IoT ecosystem. There is a strong need to understand the fundamental characteristics such as control structure, functions and behavior of networks both from a theoretical and practical perspective for future IoT. In addition, since IoT applications generate huge amounts of network traffic over networks, network issues such complexity, efficiency, dynamics, interferences and interaction and robustness need to be reviewed on a large scale. We aim to leverage them in order to better understand network performance bound, user demands and experience and capacity of the IoT network infrastructure which will enable the network to seamlessly connect to IoT devices and support the emerging applications of IoT users. In summary, research on network sciences and engineering for inter-disciplinary IoT applications is still in its infancy. For example, more research efforts are needed to examine the service quality of connected health applications from a network science perspective and principle. This special issue will present how recent and future advances in network science and engineering can be leveraged to enable future and emerging IoT applications.

Submission deadline: 1 Apr. 2018. View PDF

Special Issue on Intelligent Network Management

With the development of IT technology, communication networks have been evolving from a medium of data exchange to a platform providing diverse services. Recently, operators have started to explore how to use Artificial Intelligence (AI) to simplify, optimize and intelligently assist with network management and control to reduce operational costs and to improve performance and user experience. Recent breakthroughs from big data technology have accelerated this interest.

In general, such AI technologies will enable operators to gain a deeper understanding of the network dynamics and enable more accurate forecasts of network trends. While it is important to gain such knowledge, the more challenging question is how to apply such knowledge to improve the network performance, i.e., to improve planning and operating decisions for managing the network. This is not straightforward for many reasons. For example, current decision making models were not developed for using such knowledge, and efforts made to gain and apply such knowledge is at an early stage. Additionally, forecasts based on such knowledge have a shelf life, and may become invalid after network operating policies are changed. For example, users may adjust their demand patterns in response to network changes. Therefore, new methods are needed for implementing intelligent network management. A three stage closed loop model is needed to uncover useful patterns through: 1) closely observing the network, 2) forecasting network trends, 3) applying the knowledge gained to improve the network.

Addressing the above challenge involves knowledge and skills from different disciplines, spanning from AI, networking, optimization, game theory, and so on. This special issue (SI) calls for research on intelligent network management. While the scope of intelligence application can be broadly defined as network performance analysis and forecasting, we are especially interested in network operational functions such as capacity planning, resource provisioning, routing, faulty recovery, etc. We welcome theoretical work for building scientific foundations, as well as cases of specific applications to demonstrate the potential.

Submission deadline: 30 May 2018. View PDF

Ongoing Call-For-Papers

IEEE Transactions on Network Science and Engineering (TNSE), is committed to timely publishing of peer-reviewed technical articles that deal with the theory and applications of network science and the interconnections among the elements in a system that form a network. In particular, the IEEE Transactions on Network Science and Engineering publishes articles on understanding, prediction, and control of structures and behaviors of networks at the fundamental level. The types of networks covered include physical or engineered networks, information networks, biological networks, semantic networks, economic networks, social networks, and ecological networks. Aimed at discovering common principles that govern network structures, network functionalities and behaviors of networks, the journal seeks articles on understanding, prediction, and control of structures and behaviors of networks. Another trans-disciplinary focus of the IEEE Transactions on Network Science and Engineering is the interactions between and co-evolution of different genres of networks.

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TPDSIEEE Transactions on Parallel & Distributed Systems

Ongoing Call-For-Papers

IEEE Transactions on Parallel and Distributed Systems (TPDS), a monthly archival publication, is seeking submissions that deal with the parallel and distributed systems research areas of current importance to our readers. Particular areas of interest in parallel systems include, but are not limited to, architectures, software, and algorithms and applications. Particular areas of interest in distributed systems include, but are not limited to, algorithms and foundation, distributed operating systems, and Internet computing and distributed applications.

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TPAMIIEEE Transactions on Pattern Analysis & Machine Intelligence

Ongoing Call-For-Papers

IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), a monthly archival publication, is seeking submissions that discuss the most important research results in all traditional areas of computer vision and image understanding, all traditional areas of pattern analysis and recognition, and selected areas of machine intelligence. Other areas of interest are machine learning, search techniques, document and handwriting analysis, medical image analysis, video and image sequence analysis, content-based retrieval of image and video, face and gesture recognition, and relevant specialized hardware and/or software architectures.

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TSCIEEE Transactions on Services Computing

Special Issue on Fog Computing and Services

The emerging Internet of Things (IoT) and rich cloud services have helped create the need for fog computing (also known as edge computing), in which data processing occurs in part at the network edge or anywhere along the cloud-to-endpoint continuum that can best meet user requirements, rather than completely in a relatively small number of massive clouds. Fog computing could address latency concerns, devices’ limited processing and storage capabilities and battery life, network bandwidth constraints and costs, and many security and privacy concerns that arise from the emerging IoT.

The new Fog/Edge computing paradigm will enable the resources and services of computing, storage, networking, and control to be distributed closer to the users. Software distributions for various applications can now be hosted by fog servers, e.g., image processing packages for preprocessing images in video surveillance applications. Operating systems and the associated services can be offered through nearby fog servers to reduce round trip latency. Equipment outsourcing, such as storage, hardware, servers, and networking components can also be provisioned through fog servers. Fog computing is an extension to cloud services – it complements the clouds to enable computing where it makes the most sense.

Many new problems arise in enabling fog computing and services, creating a fertile ground for research and innovation. We are prompted to design new algorithmic, mathematical, statistical and computational methods to solve services computing problems on this new architecture. Service creation, development, and management, web services, business processes, and so on, need to be carefully redesigned. In addition, the new fog computing architecture can further provide new solutions to hard problems in the existing architectural framework, e.g., IoT services, security and privacy.

Extended submission deadline: 15 Dec. 2017. View PDF

Ongoing Call-For-Papers

IEEE Transactions on Services Computing (TSC), is a quarterly archival online-only publication, is seeking submissions that emphasize the algorithmic, mathematical, statistical and computational methods that are central in services computing: the emerging field of service-oriented architecture, Web services, business process integration, solution performance management, services operations, and management.

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TSEIEEE Transactions on Software Engineering

Ongoing Call-For-Papers

IEEE Transactions on Software Engineering (TSE), a bimonthly archival publication, is seeking submissions of well-defined theoretical results and empirical studies that have a potential impact on the construction, analysis, or management of software. The scope of this Transactions ranges from the mechanisms through the development of principles to the application of those principles to specific environments. Since the journal is archival, it is assumed that the ideas presented are important, have been well analyzed, and/or empirically validated, and are of value to the software engineering research or practitioner community.

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TSUSCIEEE Transactions on Sustainable Computing

Special Issue on Sustainable Cyber Forensics and Threat Intelligence

Increasing societal reliance on interconnected digital systems, including smart grids and Internet of Things (IoT), made sustainable detection and investigation of threat actors among highest priorities of any society. Scale and attack surface of modern networks mandate optimized deployment of limited cyber forensics and threat intelligence resources to detect and remove malicious actors in a timely manner. However, timely dealing with such a huge number of attacks is not possible without employment of artificial intelligence and machine learning techniques. When a significant amount of data is collected from or generated by different security monitoring solutions; intelligent big-data analytical techniques are necessary to mine, interpret and extract knowledge out of those data. The emerging field of cyber threat intelligence is investigating applications of artificial intelligence and machine learning techniques to perceive, reason, learn and act intelligently against advanced cyber attacks.

Extended Submission Deadline: 1 Nov. 2017. View PDF

Special Issue on Energy Efficiency of New Architectures and Systems

Over the last decade, worldwide server energy consumptions have been increasing exponentially. With this continuing energy consumption in Big Data and cloud computing era, it is necessary to store and process data more energy efficiently by utilizing enormous computing power that is available in the form of new architectures and systems, ranging from low power ARM64 servers to light weighted containerization systems. By taking advantage of these new architectures and systems, system designers can incorporate novel energy-efficient policies for existing installations and applications. However, these new architectures and systems are posing many challenges in exploiting their potentials in energy reductions, such as hardware and software co-design and coordination, application specific automated energy efficiency characterization and profiling, novel programming models, etc. These challenges are becoming the bottlenecks for implementation, deployment and commercial adoptions of new architectures and systems. These new architectures and systems also come up with algorithmic and engineering issues such as performance aspects not yet eminent but expected to grow with their scaling of large installation systems, and the dynamics of its energy management. These new challenges may comprise, sometimes even deteriorate the performance, efficiency, and scalability of the dedicated applications.

This special issue focuses on the energy efficiency challenges imposed by new architectures and systems, and on the state-of-the-art designs and solutions proposed to overcome these challenges. In this special issue we solicit the contributions from the sustainable and green computing community and the system architecture community on the modeling, evaluation, and implementation, of new architectures and systems.

Submission deadline: 31 Dec. 2017. View PDF

Special Issue on Beyond the Energy & Performance Scaling Boundaries of Modern Computer Architectures

State-of-the-art microprocessor and memory chips are conservatively manufactured and operate at pessimistic levels of supply voltage, clock frequency and DRAM refresh rate for addressing the worsening static and dynamic variability in nanometer technologies. Typically, the worst chips being in the weakest corners of the manufacturing process determine the nominal values of the operating conditions although it is widely known that a very large number of chips can safely operate at reduced voltage levels, increased frequencies and relaxed DRAM refresh rates. The margins between the nominal values of the parameters and the actual safe values of individual chips can potentially lead to large savings in energy/power consumption or to large improvements of the performance. Fine-grained tuning of the voltage, frequency and refresh rate settings can also harness the inherent variability among the cores of the same multicore chip or the different DRAM DIMMs of a machine. Different accelerators architectures such as GPUs, FPGAs or other custom accelerator chips already used with state-of-art embedded and high performance systems can be similarly tuned to improve energy and performance efficiency.

An accurate identification and characterization of the voltage, frequency and refresh rate margins and their variability under various workload and environmental conditions can effectively drive software layers solutions for improved energy efficiency or performance, while the correctness/reliability of operation and the required quality-of-service level is preserved. To this aim, diligent communication between the hardware components of a computing system and the system software components that will take workload allocation and system operation integrity decisions are essential. Intelligent margins and variability aware software stack design can maximize the gains, while ensuring robust system operation.

This Special Issue of IEEE Transactions on Sustainable Computing will be covering this cross-layer research domain seeking three broad types of contributions: (a) novel methods and flows for the characterization and measurement of the pessimistic design margins and their variability across memory and processor chips and cores, (b) effective prediction and communication/reporting mechanisms to expose hardware margins and variability as well device behavior under non-nominal operating conditions to the software layers and (c) error-resilient software paradigms to harness the exposed margins and variability for improved energy-efficiency and/or performance.

Submission deadline: 21 Feb. 2018. View PDF

Special Issue on Sustainable Information Security and Forensic Computing

Modern societies are becoming increasingly reliance on inter-connected digital systems, where commercial activities and government services are delivered. Despite the benefits, it is impossible to overstate the importance of information security and forensics in a highly inter-connected system. To address security threats to network infrastructure devices and sensitive data, many different solutions capable of providing a suitable degree of security and forensic capability have been proposed. However, such solutions have not been properly designed to address important aspects such as computational costs, scalability, energy efficiency and resource usage. This special issue thus focuses on practical aspects of information security and forensics in sustainable computing. We solicit original contributions on novel threats, defences and security, information, tools, and digital forensics applications in sustainable computing. We also seek contributions motivated by taking real-world security and forensic problems and theoretical works that have clear intention for practical applications.

Submission deadline: 1 May 2018. View PDF

Special Issue on Sustainability of Fog/Edge Computing Systems

Fog/Edge Computing is an emerging architectural as well as technical approach aimed at addressing various shortcomings in traditional cloud computing paradigms and responding to today’s constantly increasing data-demanding services such as Internet-of-Things, 5G embedded artificial intelligence and smart cities. In Fog/Edge Computing, nodes at the edge of a network are equipped with processing, storage, networking, etc. capabilities to take over several tasks that were used to be sent to cloud services. Pre-filtering and aggregation of data as well as online processing and actuation are sample procedures envisaged/dedicated to fog/edge nodes.

Although slightly different in the way they are implemented, fog and edge paradigms are designed in direct response to various challenges in operating smooth IoT and 5G services including –but not limited to: stringent latency requirements from sensing to actuation, network bandwidth limitation for large-sized aggregated data, limited resources for edge devices to perform tasks, and security requirements for all data flows and operations. Satisfying all aforementioned concerns becomes even more challenging when considering the rapid constant grow of edge devices/sensors. For example, the current number of IoT devices will rapidly increase from 15 billion to 50 billion by 2020 (according to CISCO), while the number of sensors will increase to as high as 1 trillion by 2030 (according to HP Labs). As a consequence, sustainability of such systems becomes a necessity rather than a luxury.

To address several major issues regarding sustainability of future fog/edge systems, this special issue aims at highlighting challenges, state-of-the-art, and solutions to a set of currently unresolved key questions including –but not limited to—performance, modelling, optimization, reliability, security, privacy and techno-economic aspects of fog/edge architectures. Through addressing these concerns while understanding their impacts and limitations, technological advancements will be channelled toward more sustainable/efficient platforms for tomorrow’s ever-connected systems.

Submission deadline: 31 May 2018. View PDF

Special Issue on Intersection of Computing and Communication Technologies with Energy Systems

Computing and communication technologies impact energy systems in two distinct ways. The exponential growth of these technologies has made them large energy consumers. Therefore, new architectures, technologies and systems are being developed and deployed to make computing and networked system more energy efficient. Additionally, these technologies will play a central role in the on-going transformation of our energy systems. They help measure, monitor and control energy resources, inform and shape human demand, and determine how utilities, generators, regulators, and consumers interact. Recently, there have been vibrant developments in the research community at the intersection of computing and communication technologies with energy systems. Diverse applications of computing and networked systems have made legacy systems more energy-efficient, as well as improved the design, analysis, and development of innovative new energy systems.

This special issue calls for novel ideas for shaping the future of this area. We seek high-quality papers at the intersection of computing and communication technologies with energy systems. We welcome submissions describing conceptual advances, as well as advances in system design, implementation and experimentation.

Submission deadline: 15 Dec. 2018. View PDF

Ongoing Call-For-Papers

IEEE Transactions on Sustainable Computing (TSUSC) is a peer-reviewed journal devoted to publishing high-quality papers that explore the different aspects of sustainable computing, over a wide range of problem domains and technologies from software and hardware designs to applications. Sustainability includes energy efficiency, natural resources preservation, and use of multiple energy sources as needed in computing devices and infrastructure.

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TVCGIEEE Transactions on Visualization & Computer Graphics

Ongoing Call-For-Papers

IEEE Transactions on Visualization and Computer Graphics (TVCG), a monthly archival publication, is seeking submissions that present important research results and state-of-the-art seminal papers related to computer graphics and visualization techniques, systems, software, hardware, and user interface issues. Specific topics in computer graphics and visualization include, but are not limited, algorithms, techniques and methodologies; systems and software; user studies and evaluation; rendering techniques and methodologies, including real-time rendering, graphics hardware, point-based rendering, and image-based rendering; and animation and simulation, including character animation, facial animation, motion-capture, physics-based simulation and animation.

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TCBBIEEE/ACM Transactions on Computational Biology and Bioinformatics

Ongoing Call-For-Papers

IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB), a bimonthly archival publication, is seeking submissions that discuss research results related to the algorithmic, mathematical, statistical, and computational methods that are central in bioinformatics and computational biology. This includes, but is not limited to, the development and testing of effective computer programs in bioinformatics; the development and optimization of biological databases; and important biological results that are obtained from the use of these methods, programs, and databases.

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