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

Haneul Ko, Jaewook Lee, Sangheon Pack

Research output: Contribution to journalArticlepeer-review

44 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 with the 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 the 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
Pages (from-to)18920-18932
Number of pages13
JournalIEEE Access
Volume6
DOIs
Publication statusPublished - 2018 Mar 21

Bibliographical note

Funding Information:
This work was supported in part by the National Research Foundation under Grant 2017M3C4A7065980 and Grant 2017R1E1A1A01073742, and in part by the Institute for Information and Communications Technology Promotion through the Korean Government (MSIT) under Grant 2015-0-00575.

Publisher Copyright:
© 2013 IEEE.

Keywords

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

ASJC Scopus subject areas

  • General Computer Science
  • General Materials Science
  • General Engineering

Fingerprint

Dive into the research topics of 'Spatial and Temporal Computation Offloading Decision Algorithm in Edge Cloud-Enabled Heterogeneous Networks'. Together they form a unique fingerprint.

Cite this