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 The submission should be original work by the authors, not be published or currently submitted for publication elsewhere.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: CLOSED
Preliminary notification: July 15, 2020
Revision deadline: August 15, 2020
Final notification: September 15, 2020
Publication: April - June 2021 (subject to editorial calendar)
Contact the guest editors at eeec_tsusc@computer.org.
- Daniel Grosu, Wayne State University
- Jiannong Cao, The Hong Kong Polytechnic University
- Marco Brocanelli, Wayne State University
