-------- Weitergeleitete Nachricht -------- Betreff: [TCCC-ANNOUNCE] CFP: IEEE Trans. on Sustainable Computing Special Issue on Energy-Efficient Edge Computing Datum: Fri, 31 Jan 2020 17:04:32 +0000 Von: Daniel Grosu dgrosu@WAYNE.EDU Antwort an: Daniel Grosu dgrosu@WAYNE.EDU An: tccc-announce@COMSOC.ORG

CALL FOR PAPERS ===============

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IEEE Transactions on Sustainable Computing

Special Issue on Energy-Efficient Edge Computing

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The future increase in the amount of data and workloads generated by Internet of Things (IoT) devices and connected sensors will lead to the necessity to move computational nodes from the cloud data centers closer to the data source, i.e., at the edge of the cloud, for reduced latency. An edge system is composed of any computing and networking resources along the path between data sources and cloud data centers. Depending on the specific computing needs, edge computing devices can use either a wireless or a wired connection to exchange messages with the data sources. IoT devices and sensors can then exploit the hierarchical structure of the edge and cloud system to analyze the collected data and provide useful information to users in a timely manner. For example, wearable sensors could use the computing resources of the user’s smartphone, laptop, or even smart vehicle to analyze the collected data. Because a large majority of edge devices are battery operated and have limited connectivity, the energy efficiency of computation becomes critical. To this end, it is important to minimize the energy consumption of all the components of an edge system, including sensors, IoT devices, edge nodes, and network devices while guaranteeing the desired performance. For this special issue we solicit original experimental, conceptual, and theoretical contributions on the following topics related to energy-efficient edge computing:

- energy-aware application placement and offloading - energy-aware resource management - energy-aware data management - energy-aware edge2cloud coordination - energy-aware sensing for edge computing systems - energy-efficient hardware architectures for edge computing and devices - energy-efficient edge computing for AI applications - energy-efficient edge computing applications - edge computing powered by distributed renewable energy resources - energy-efficient vehicular edge computing - energy-efficient edge computing for autonomous robots - energy-efficient networks for edge computing

Submission Guidelines: ---------------------- Authors are invited to submit their manuscripts via the online system (https://mc.manuscriptcentral.com/tsusc-cs). The manuscript must follow the IEEE Transactions on Sustainable Computing author guidelines (https://www.computer.org/web/tsusc/author). When submitting the manuscript please select the special issue on Energy-Efficient Edge Computing. The submission should be original work by the authors, not be published or currently submitted for publication elsewhere.

Important Dates: ---------------- Submission deadline: March 15, 2020 Preliminary notification: July 15, 2020 Revision deadline: August 15, 2020 Final notification: September 15, 2020 Publication: April - June 2021 (subject to editorial calendar)

Guest Co-Editors: ----------------- Daniel Grosu, Wayne State University, USA. dgrosu@wayne.edu

Jiannong Cao, The Hong Kong Polytechnic University, Hong Kong csjcao@comp.polyu.edu.hk

Marco Brocanelli, Wayne State University, USA. brok@wayne.edu

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