Journal article
Energy-Efficient Computation Offloading in Collaborative Edge Computing
R Lin, T Xie, S Luo, X Zhang, Y Xiao, B Moran, M Zukerman
IEEE Internet of Things Journal | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC | Published : 2022
Abstract
Edge computing is an indispensable technology that overcomes delay limitations of cloud computing. In edge computing, computational resources are deployed at the network edge, and computational tasks and data of end terminals can be efficiently processed by edge nodes. Considering the computational resource limitations of edge nodes, collaborative edge computing integrates computational resources of edge nodes and provides more efficient computing services for end terminals. This article considers a computation offloading problem in collaborative edge computing networks, where computation offloading and resource allocation are optimized by means of a collaborative load shedding approach: a t..
View full abstractGrants
Awarded by National Natural Science Foundation of China
Awarded by Key Research and Development Program of Hubei Province of China
Awarded by City University of Hong Kong, Hong Kong, SAR, China
Funding Acknowledgements
This work was supported in part by the National Natural Science Foundation of China under Grant 61871097, Grant 62171085, and Grant 62071193; in part by the Key Research and Development Program of Hubei Province of China under Grant 2021EHB015 and Grant 2020BAA002; and in part by the City University of Hong Kong, Hong Kong, SAR, China, under Grant 9610544.