On Enabling Sustainable Edge Computing with Renewable Energy Resources

Li, W, Yang, T, Delicato, F, Tari, Z, Khan, S and Zomaya, A 2018, 'On Enabling Sustainable Edge Computing with Renewable Energy Resources', IEEE Communications Magazine, vol. 56, no. 5, pp. 94-101.

Document type: Journal Article
Collection: Journal Articles

Title On Enabling Sustainable Edge Computing with Renewable Energy Resources
Author(s) Li, W
Yang, T
Delicato, F
Tari, Z
Khan, S
Zomaya, A
Year 2018
Journal name IEEE Communications Magazine
Volume number 56
Issue number 5
Start page 94
End page 101
Total pages 8
Publisher IEEE
Abstract The emergent paradigm of edge computing advocates that computational and storage resources can be extended to the edge of the network so that the impact of data transmission latency over the Internet can be effectively reduced for time-constrained Internet of Things applications. With the widespread deployment of edge computing devices, the energy demand of these devices has increased and started to become a noticeable issue for the suitable development of urban systems. In this article, we propose a unified energy management framework for enabling a sustainable edge computing paradigm with distributed renewable energy resources. This framework supports cooperation between the energy supply system and the edge computing system so that renewable energy can be fully utilized while offering improved quality of service for time-constrained IoT applications. A prototype system is also implemented by using microgrid (solar-wind hybrid energy system) and edge computing devices together. The experiment results demonstrate that renewable energy is fully capable of supporting the reliable running of edge computing devices in the prototype system during most (94.8 percent) of the experimental period when our proposed framework was employed.
Subject Distributed and Grid Systems
DOI - identifier 10.1109/MCOM.2018.1700888
Copyright notice © 2018 IEEE
ISSN 0163-6804
Version Filter Type
Citation counts: TR Web of Science Citation Count  Cited 14 times in Thomson Reuters Web of Science Article | Citations
Scopus Citation Count Cited 0 times in Scopus Article
Altmetric details:
Access Statistics: 28 Abstract Views  -  Detailed Statistics
Created: Tue, 23 Oct 2018, 16:00:00 EST by Catalyst Administrator
© 2014 RMIT Research Repository • Powered by Fez SoftwareContact us