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

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

Research output: Contribution to journalArticle

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 languageEnglish
Article number8692395
Pages (from-to)1200-1203
Number of pages4
JournalIEEE Wireless Communications Letters
Volume8
Issue number4
DOIs
Publication statusPublished - 2019 Aug

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • Electrical and Electronic Engineering

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