Task Popularity-Based Energy Minimized Computation Offloading for Fog Computing Wireless Networks

Junsung Kim; Taeyoung Ha; Wonsuk Yoo; Jong Moon Chung

doi:10.1109/LWC.2019.2911521

Task Popularity-Based Energy Minimized Computation Offloading for Fog Computing Wireless Networks

Junsung Kim, Taeyoung Ha, Wonsuk Yoo, Jong Moon Chung

Department of Electrical and Electronic Engineering

Research output: Contribution to journal › Article

Abstract

Fog computing is a new systematic paradigm which provides low latency enabled cloud services to mobile and Internet of Things (IoT) networks by provisioning the computation capability within the radio access network (RAN) assignable to mobile end users. In this letter, an energy optimal offloading scheme based on a probabilistic priority model of cloud tasks is investigated over fog computing networks. The optimization problem jointly minimizes the energy consumption of user equipment (UE) and the fog server. Simulation results show that the proposed joint UE and fog server energy optimization (JUFO) scheme provides a better performance compared to the conventional offloading scheme, which operates strictly within the determined delay bound.

Original language	English
Article number	8692395
Pages (from-to)	1200-1203
Number of pages	4
Journal	IEEE Wireless Communications Letters
Volume	8
Issue number	4
DOIs	https://doi.org/10.1109/LWC.2019.2911521
Publication status	Published - 2019 Aug

All Science Journal Classification (ASJC) codes

Control and Systems Engineering
Electrical and Electronic Engineering

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10.1109/LWC.2019.2911521

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Kim, J., Ha, T., Yoo, W., & Chung, J. M. (2019). Task Popularity-Based Energy Minimized Computation Offloading for Fog Computing Wireless Networks. IEEE Wireless Communications Letters, 8(4), 1200-1203. [8692395]. https://doi.org/10.1109/LWC.2019.2911521

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