Journal Information
IEEE Transactions on Sustainable Computing (TSUSC)
https://www.computer.org/web/tsusc
Impact Factor:
2.456
Publisher:
IEEE
ISSN:
1536-1233
Viewed:
3617
Tracked:
5

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Call For Papers
The IEEE Transactions on Sustainable Computing (T-SUSC) 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.

Solutions for these problems call upon a wide range of algorithmic and computational frameworks, such as optimization, machine learning, decision support systems, meta-heuristics, and game-theory. Contributions to T-SUSC must address sustainability problems in computing and information processing environments and technologies, and at different levels of the computational process.
Last updated by Xin Yao in 2016-07-03
Special Issues
Special Issue on Energy Efficiency of New Architectures and Systems
Submission Date: 2017-12-31

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.
Last updated by Dou Sun in 2017-10-08
Special Issue on Sustainable Information Security and Forensic Computing
Submission Date: 2018-05-01

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.
Last updated by Dou Sun in 2017-10-13
Special Issue on Sustainability of Fog/Edge Computing Systems
Submission Date: 2018-05-31

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.
Last updated by Dou Sun in 2017-10-13
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