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.
- IEEE Computer Architecture Letters
- IEEE Transactions on Affective Computing
- IEEE Transactions on Big Data
- IEEE Transactions on Computers
- IEEE Transactions on Cloud Computing
- IEEE Transactions on Dependable and Secure Computing
- IEEE Transactions on Emerging Topics in Computing
- IEEE Transactions on Haptics
- IEEE Transactions on Knowledge & Data Engineering
- IEEE Transactions on Learning Technologies
- IEEE Transactions on Mobile Computing
- IEEE Transactions on Multi-Scale Computing Systems
- IEEE Transactions on Network Science and Engineering
- IEEE Transactions on Parallel & Distributed Systems
- IEEE Transactions on Pattern Analysis & Machine Intelligence
- IEEE Transactions on Services Computing
- IEEE Transactions on Software Engineering
- IEEE Transactions on Sustainable Computing
- IEEE Transactions on Visualization & Computer Graphics
- IEEE/ACM Transactions on Computational Biology and Bioinformatics
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.
Special Issue on Human Behavior Analysis "in-the-wild"
Coming generations of robots and intelligent virtual agents will interact with people in increasingly naturalistic ways. They will automatically perceive and process social signals on a rapid time base with the goal of understand people’s emotions, appraisals, and intentions. Because people operate in a diversity of contexts, human behavior analysis will need to be robust to the diversity of contexts in which people live and to the timing of their displays. The latter is important because the meaning of an expression can depend on its dynamics. Until recently, human behavior analysis was limited to posed behavior in highly controlled contexts and with little attention to precise detection of onsets, offsets, and the temporal, multimodal, and interpersonal envelope of displays. Recent work has turned attention to un-posed, unscripted behavior but contexts have remained relatively constrained and there has been relatively little attention to multimodal communication and the dynamics of displays. As an example, automatic spotting of subtle and fleeting expressions (i.e., micro-expressions) that may powerfully communicate emotion has only recently attracted attention. To meet the need for advanced human behavior understanding that is robust to context and accurately represents the flow and meaning of communicative displays, advances in databases and algorithms are critical.
This special issue addresses the need to bring together leading efforts in human behavior analysis in the wild. We seek advances in databases and algorithms for human behavior understanding in diverse contexts beyond the laboratory. We seek the full range of modalities, social signals, and levels of analysis. We are especially interested in efforts that consider the "packaging" of multimodal signals and interpersonal accommodation or coordination. Modalities include facial expression, body movement and gesture from video; acoustics and prosody from audio; wearable sensors; and infrared imaging. This special issue will present advances in databases, algorithms, benchmarks, and findings in support of the next generation of affective computing.
Special Issue on Affective Reasoning for Big Social Data Analysis
As theWeb rapidly evolves,Web users are evolving with it. In an era of social connectedness, people are becoming increasingly enthusiastic about interacting, sharing, and collaborating through social networks, online communities, blogs, Wikis, and other online collaborative media. In recent years, this collective intelligence has spread to many different areas, with particular focus on fields related to everyday life such as commerce, tourism, education, and health, causing the size of the Web to expand exponentially.
The distillation of knowledge from such a big amount of unstructured information, however, is an extremely difficult task, as the contents of today’s Web are perfectly suitable for human consumption, but remain hardly accessible to machines. The opportunity to capture the opinions of the general public about social events, political movements, company strategies, marketing campaigns, and product preferences has raised growing interest both within the scientific community, leading to many exciting open challenges, as well as in the business world, due to the remarkable benefits to be had from marketing and financial market prediction.
Existing approaches to big social data analysis mainly rely on parts of text in which sentiment is explicitly expressed, e.g., through polarity terms or affect words (and their co-occurrence frequencies). However, opinions and sentiments are often conveyed implicitly through latent semantics, which make purely syntactical approaches ineffective. In this light, this Special Issue focuses on the introduction, presentation, and discussion of novel techniques that further develop and apply affective reasoning tools and techniques for big social data analysis. A key motivation for this Special Issue, in particular, is to explore the adoption of novel affective reasoning frameworks and cognitive learning systems to go beyond a mere word-level analysis of natural language text and provide novel concept-level tools and techniques that allow a more efficient passage from (unstructured) natural language to (structured) machineprocessable affective data, in potentially any domain.
Special Issue on Apparent Personality Analysis
Automatic analysis of videos and any other kind of input data to characterize human behavior has become an area of active research with applications in affective computing, human-machine interfaces, gaming, security, marketing, health, and other domains. Research advances in multimedia information processing, computer vision and pattern recognition have lead to established methodologies that are able to successfully recognize consciously executed actions, or intended movements (e.g., gestures, actions, interactions with objects and other people). However, recently there has been much progress in terms of computational approaches to characterize sub-conscious behaviors, which may be revealing aptitudes or competence, hidden intentions, and personality traits.
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.
Special Issue on Trustworthiness in Big Data and Cloud Computing Systems
The rapid advancement of digital sensors, computers, networks, and smart devices with their extensive use is leading to the integration of a significant amount of diversified data that results in emerging research on Big Data. Cloud computing means storing, computing, and accessing data and programs over the Internet. The growth of cloud computing and cloud data stores have been a precursor and facilitator to the emergence of Big Data. Thus, Big Data and Cloud systems are considered complimentary to each other.
Since Big Data are often in unstructured or semi-structured forms that are being generated from various sources, trustworthiness in data collection, integration, computing, decision-making, and data management becomes a great concern. For example, can we trust current Big Data storage and protection systems or can the use of Big Data analytic enhance security and privacy of the whole system? On the other hand, trustworthiness is also one of the most concerning issues in Cloud Computing environments in terms of fault tolerance, data loss recovery, data privacy/security/safety, and data protection, due to its open environment with very limited end user-side controls. Currently, many new applications are being developed explicitly for cloud system deployment, while many traditional applications will eventually evolve to cloud. The end user-side wants these cloud-based services to be at least as trustworthy and available as traditional offerings. To meet these expectations, cloud service providers and cloud consumers need to gain a solid understanding of the unique challenges of cloud computing and learn how to mitigate risks.
While information society, commercial and scientific companies, and industries share the need for massive throughput, trustworthiness of services will become a big concern. However, trustworthiness in both Big Data and Cloud Computing systems has received less attention from researchers and practitioners. The aim of this special issue is to solicit both original research that discusses the trustworthiness issues, trustworthy platforms, trustworthy frameworks, and design methodologies for Big Data and Cloud Computing systems.
Special Issue on Knowledge Graphs: Techniques and Applications
Knowledge graphs, such as Freebase (now WikiData), Yago, NELL, Probase, and Google Knowledge Graph, have attracted increasing attention recent years. Compared to traditional human annotated semantic knowledge bases such as WordNet and Cyc, recent knowledge graphs are mostly constructed byWeb-scale data based information extraction orWeb-scale users based crowdsourcing, which are enabled by big data processing, storage, and management infrastructures. Given the current scale of knowledge graphs with millions of entities and billions of relations, knowledge graph construction, maintenance, and inference problems are all big data problems, in terms of volume, veracity, velocity and variety.
This special issue focuses on the key techniques and killer applications related to knowledge graph. We invite the articles on novel research to address the key challenges on knowledge graph construction, representation, learning, inference, and applications.
Special Issue on Biomedical Big Data: Understanding, Learning and Applications
Biomedical imaging is an essential component in various fields of biomedical research and clinical practice. Biologists quantitatively study cell behavior and generate high-throughput microscopy data sets. Neuroscientists detect regional metabolic brain activity from positron emission tomography (PET), functional magnetic resonance imaging (MRI), and magnetic resonance spectrum imaging (MRSI) scans. Virologists generate 3D reconstructions of viruses from micrographs, and radiologists identify and quantify tumors from MRI and computed tomography (CT) scans. Advanced imaging equipment and diverse applications have driven the generation of biomedical big data. The main challenge and bottleneck for the related research is the conversion of “biomedical big data” into interpretable information and hence discoveries. Computer vision theory has a huge potential in many aspects for automated understanding of biomedical data and has been used successfully to speed up and improve applications such as large-scale cell image analysis (image preconditioning, cell segmentation and detection, cell tracking, and cell behavior identification), image reconstruction and registration, organ segmentation and disease classification. Moreover, when it comes to the new era of machine learning, deep learning has revolutionized multiple fields of computer vision, significantly pushing the state of arts of computer vision systems in a broad array of high-level tasks.
This special issue serves as a forum to bring together active researchers all over the world to share their recent advances in this exciting area. We solicit original contributions in three-fold: (1) present state-of-the-art theories and novel application scenarios related to biomedical big data analytics; (2) survey the recent progress in this area; and (3) build benchmark datasets.
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.
Special Section on Cryptographic Engineering in a Post-Quantum World
The vast majority of public-key cryptosystems currently in use (e.g., RSA, Diffie-Hellman and Elliptic Curve Cryptography) is based on integer factorization and discrete logarithm problems, which are believed to be intractable with current computing technology. However, these hard problems can be solved in polynomial time by using Shor's algorithm (or one of its variants) on a quantum computer. Recent progress towards the development of a large-scale quantum computer has motivated the interest for post-quantum cryptography (a.k.a. quantum-safe cryptography) by both government and cryptography communities.
In April 2015, the National Institute of Standards and Technology (NIST) held a “Workshop on Cybersecurity in a Post-Quantum World” to discuss cryptographic algorithms for public key-based key agreement and digital signatures that are not susceptible to cryptanalysis by quantum algorithms. Four months later, the National Security Agency (NSA) published a report ("Cryptography Today") that announced a plan to transition to quantum-resistant algorithms in the near future. More recently, NIST published a draft ("Report on Post-Quantum Cryptography") that details NIST's current understanding about the status of quantum computing and post-quantum cryptography and outlines NIST's initial plan for standardization in this space. According to this plan, it is expected that standardization of the selected algorithm(s) begin after a period of 3-5 years following the initial submission deadline on November 2017. Under the light of this major effort, a fundamental question that arises is: how well suited is the cryptography of the future for designing the internet of the future?
This special issue aims at presenting state-of-the-art research in cryptographic engineering aspects of cryptographic systems that are currently believed to be secure against quantum computer cryptanalysis. This includes the performance and security evaluation of cryptographic systems in hardware and software platforms.
The concrete goal of this special issue is to highlight new results in the design and analysis of cryptographic hardware and software implementations of post-quantum cryptography (PQC).
It is expected that contributed submissions place emphasis on computing issues in general and on engineering and architecture design aspects of security in particular. Pure theoretical papers lacking architecture design aspects and related evaluations (and comparisons) will not be considered.
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.
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).
Special Issue on Paradigm Shifts in Cryptographic Engineering
Research on cryptologic approaches to solving real-world security problems has been conducted in the public domain for decades, and well established paradigms and techniques now exist that can solve numerous security problems in our lives. Since then, substantial breakthroughs have been made in cryptographic engineering especially in the recent years. To be more precise, by cryptographic engineering, we mean the security techniques researched with cryptographic rigour aimed at solving real-life problems in our current world; these involve systems, components, practical methods and algorithms, implementations as well as human elements.
Indeed, our society is constantly influenced by different lifestyle shifts driven by diverse technological advances: to name a few recent technological revolutions beyond the more established trends of cloud computing and big data; notably internet of things (IoT), cyber-physical systems (CPS), cyber-physical social lifestyles augmented by social media, smart clothing, and more recently nanosensors and flexible electronics.
Meanwhile, the security research community has now matured to a level where cryptographic engineering techniques with additional features beyond the basic security requirements are increasingly being proposed, due largely to real-world constraints, changing needs or socio-technological revolutions. Recent ones include fully homomorphic cryptography, functional cryptography and *-preserving cryptography, where we use * as a wildcard to denote different features that can be preserved, e.g. format, order, structure, privacy, property. In response to recent news of security systems being subverted, attention has also been devoted to the notions of malicious security and adversarial security, i.e. where security is no longer just against bad guys but where good guys who are conventionally viewed as mostly defensive can equally be adversarial. Meanwhile, the way that humans interact with each other has drastically changed since the days when cryptographic engineering research first commenced that modelled the security problems essentially as multi-party communications. From conventional terminal-based communications, our world now is one where people interact on the go, with others virtually in social media, aided by a myriad of personal networked gadgets and smart things.
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.
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, www.computer.org. Please thoroughly read these before submitting your manuscript.
Please submit your paper to Manuscript Central at https://mc.manuscriptcentral.com/tetc-cs 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, email@example.com
Special Issue on Reliability-aware Design and Analysis Methods for Digital Systems: from Gate to System Level
The continuous scaling of CMOS devices as well as the increased interest in the use of emerging technologies make more and more important the topics related to defect and fault tolerance in digital systems. To address the increasing complexity of digital systems and their challenging reliability requirements, it is imperative to employ design and analysis methods to different levels of the abstraction, starting from the system level down to the gate level. The IEEE Transaction on Emerging Topics in Computing (TETC) seeks original manuscripts for a Special Section on Reliability-aware Design and Analysis Methods for Digital Systems: from Gate to System Level scheduled to appear in the March issue of 2018. All aspects of design, manufacturing, test and analysis of systems affected by defects during manufacturing and by faults during system operation are of interest.
Special Issue on Cyber Security Threats and Defense Advances
With the rapid advancements in information and communications technology (ICT) and ‘expansion’ of cyber space, cyber security is of crucial importance to the stability of our Internet-connected society. For example, how do we ensure secure communications between servers, network nodes, terminals and user applications across public and private networks? Defending our cyber space is both a research challenge and an operational challenge. Designing effective security solutions is complicated by the need to carefully balance between security and usability, as well as the amount of efforts and resources required. For example, how do we achieve better security without compromising on communication speed?
This special issue aims to solicit state-of-the-art research advances in cyber-security threat mitigation and defense solutions, including the underlying cryptographic techniques. The issue welcomes both theoretical research, and applied research (e.g. implementations and applications).
Special Issue on Advanced Command, Control and On-Board Data Processing for Space Avionic Systems
IEEE Transaction on Emerging Topics in Computing (TETC) seeks original manuscripts for a Special Issue/Section on Command, control and on board data processing for space avionic systems scheduled to appear in the third issue of 2018.The domain of space avionic systems is changing extremely rapidly, compared to other technical domains in space-faring industry, under the pressure of an intense competition, the continuous emergence of new markets and players, the need for cost reduction, as well as an increased obsolescence rate of components and processes.
This rapidly changing landscape is as well opening a large amount of opportunities for the space avionic systems: the new high-performance processors architectures and silicon processes, which offer the possibility to integrate different functions until now implemented on several boards either in a single chip (SoC), or in application-specific standard products (ASSP) or in new large FPGAs are allowing multi-fold gains in performances and miniaturization for electronic systems.
Reliability and availability constraints remain the main driving requirements for established space hardware manufacturers. In this context, the emergence of space systems based on Commercial-Off-The-Shelf (COTS) only and aggressive commercial platforms adds further uncertainties and possibilities to an already very dynamic landscape. New creative and technically sound solutions are needed to provide a valid and attractive alternative to the tempting shortcut of cutting costs by waving the rigorous test and quality assurance processes applied to bigger satellite.
Special Issue on Green Computing in Internet of Things
As an emerging cross-disciplinary research area, Green Computing is attracting worldwide attention. The emergence of the Green Computing will significantly change the way we see the world. All aspects of Information Technology are under investigation, from energy saving design of individual devices, to strategies that consider the entire energy consumption in the design, planning, and management phases, to new paradigms for long term sustainability that includes reformed attitudes of users’ as well as smart energy harvesting techniques. The above considerations motivated us to promote this special issue. This special issue will bring together academic and industrial researchers to identify and discuss technical challenges and recent results related to Green Computing in Internet of Things. Only papers that are focused on computing will be considered.
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 firstname.lastname@example.org for further details.
Special Issue on Applications of Smart Materials to Haptics
The emergence of flexible displays and wearable devices that are not only small, thin and light weight, but also mechanically robust requires novel haptic interfaces. These interfaces rely on soft, small and power efficient actuators and sensors that can be embedded in flexible displays and wearable devices. In the area of materials science, various types of electro-active materials have been investigated for some time. For example, electroactive polymers (EAPs) have been proposed as one class of materials for flexible actuators and sensors. Besides electrically controlled smart materials, magnetic composites such as magnetorheological elastomers and fluids have also demonstrated a high potential for haptic applications and are especially promising if the magnetic field generation can be configured to be lightweight and flexible. Owing to their benefits that include low mass, flexibility, non-geometric constraints, cost effectiveness, and miniaturization, soft actuators configured in a thin film are potentially available for use in haptic interfaces for flexible touchscreens, braille displays, and wearable tactile devices. Soft actuators and sensors also have many applications in artificial muscles, biomimetic robots, MEMS devices as well as in haptic interfaces. However, many issues such as power consumption and scalability are open research topics that need to be tackled in order for this type of actuator and sensor to be commercially viable.
The scope of this special issue includes applications of smart materials to the creation of haptic systems (e.g. sensors, actuators), and also fabrication techniques and power optimization for these systems.
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.
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.
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
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.
Special Issue on Advances in Parallel Graph Processing: Algorithms, Architectures and Application Frameworks
In the sphere of modern data science and applications, graph algorithms have achieved a pivotal place in advancing the state of scientific discovery and knowledge. Nearly three centuries of ideas have made graph theory and its applications a mature area in computational sciences. Yet, today we find ourselves at crossroads between theory and application. Spurred by the digital revolution, data from over a diverse range of high throughput channels and devices, from across internet-scale applications, are starting to mark a new era in data-driven computing and discovery. Building robust graph models and implementing scalable graph application frameworks in the context of this new era are proving to be significant challenges. Concomitant to the digital revolution, we have also experienced an explosion in computing architectures, with a broad range of multicores, manycores, heterogeneous platforms and hardware accelerators (CPUs, GPUs) being actively developed and deployed within servers and multinode clusters. Recent advances have started to show that in more than one way, these two fields - graph theory and architectures - are capable of benefiting and in fact spurring new research directions in one another.
This special issue invites original research papers and authoritative position/survey papers that showcase cutting-edge research at the intersection of graph algorithms, graph applications and advanced architectures.
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.
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.
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.
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.
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.
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.
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.
Special Issue on Low-Power Dependable Computing (LPDC)
With the continuous technology scaling and miniaturization of computing systems, faults become more common and it is imperative for most modern computing systems to deploy various fault-tolerance techniques. Traditionally, fault tolerance is achieved in general through various error reduction, detection and recovery techniques at different levels (for instance, circuit, architecture, operating systems, compiler and application software) in the systems. On the other hand, fault-tolerance does not come for free, and generally has power/energy/temperature overheads, which warrants careful consideration since power/energy is a first-class system resource and has been emerging as a significant limiting factor for multicore scaling. In particular, understanding the interdependencies between reliability and power are important to consider, e.g., high power consumption may lead to elevated temperature that can further aggravate reliability. In response to these challenges, this special issue seeks original contributions on novel and bold ideas to achieve low-power dependable computing (LPDC).
Special Issue on Secure Sustainable Green Smart Computing (G2GSC)
Currently, the booming development of cloud computing has resulted in a remarkable growth of multiple industries in which dramatic demands of green computing and sustainability are addressed. The platform of smart computing has provided an efficient approach for connecting various infrastructure such that many new technologies are eventually formed, such as Internet-of-Thing and ubiquitous computing. The concept of sustainable green smart computing has become a significant issue for those enterprises or practitioners who are engaging the implementations of smart computing aiming a longer term strategy. Considering the achievement of the real sustainability, one of the crucial values is to ensure all operations across different computing sources are under a secure executive environment.
For reaching a high performance of securing sustainable green smart computing, many problems need to be solved. For example, one of the main challenges is to balance the costs among security, energy, performance, and sustainable requirements. The distribution of the computing resources in this issue is a great challenge because the real-time executions are usually constrained by multiple elements. An efficient approach of providing an adaptive and scalable service as well as addressing sustainability is an urgent research direction for current advanced cloud computing applications.
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.
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.
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.