Spatial and Temporal Computation Offloading Decision Algorithm in Edge Cloud-Enabled Heterogeneous Networks

Haneul Ko, Jaewook Lee, Sangheon Pack

Research output: Contribution to journalArticle

13 Citations (Scopus)

Abstract

A novel concept of the edge cloud has recently been introduced to reduce transmission costs in mobile cloud computing services. Heterogeneous networks with diverse radio access networks will be pervasive in the future. In this paper, we propose a spatial and temporal computation offloading decision algorithm (ST-CODA) in edge cloud-enabled heterogeneous networks. In ST-CODA, a mobile device decides where and when to process tasks by means of a Markov decision process (MDP) with consideration of the processing time and energy consumption of different computation nodes and the transmission cost in heterogeneous networks. Extensive evaluation results are given to demonstrate the effectiveness of ST-CODA in terms of the transmission cost, the energy efficiency of the mobile device, and the number of tasks that can be processed before their deadline.

Original languageEnglish
JournalIEEE Access
DOIs
Publication statusAccepted/In press - 2018 Mar 21

Keywords

  • Cloud computing
  • computation offloading
  • edge cloud
  • heterogeneous networks
  • Markov decision process (MDP)
  • mobile edge computing (MEC)
  • optimization

ASJC Scopus subject areas

  • Computer Science(all)
  • Materials Science(all)
  • Engineering(all)

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