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

Haneul Ko, Jaewook Lee, Sangheon Pack

Research output: Contribution to journalArticle

8 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

Fingerprint

Heterogeneous networks
Mobile devices
Mobile cloud computing
Costs
Energy efficiency
Energy utilization
Processing

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)

Cite this

Spatial and Temporal Computation Offloading Decision Algorithm in Edge Cloud-Enabled Heterogeneous Networks. / Ko, Haneul; Lee, Jaewook; Pack, Sangheon.

In: IEEE Access, 21.03.2018.

Research output: Contribution to journalArticle

@article{30d8f92921fd4f1394ff95c991b75ba8,
title = "Spatial and Temporal Computation Offloading Decision Algorithm in Edge Cloud-Enabled Heterogeneous Networks",
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.",
keywords = "Cloud computing, computation offloading, edge cloud, heterogeneous networks, Markov decision process (MDP), mobile edge computing (MEC), optimization",
author = "Haneul Ko and Jaewook Lee and Sangheon Pack",
year = "2018",
month = "3",
day = "21",
doi = "10.1109/ACCESS.2018.2818111",
language = "English",
journal = "IEEE Access",
issn = "2169-3536",
publisher = "Institute of Electrical and Electronics Engineers Inc.",

}

TY - JOUR

T1 - Spatial and Temporal Computation Offloading Decision Algorithm in Edge Cloud-Enabled Heterogeneous Networks

AU - Ko, Haneul

AU - Lee, Jaewook

AU - Pack, Sangheon

PY - 2018/3/21

Y1 - 2018/3/21

N2 - 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.

AB - 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.

KW - Cloud computing

KW - computation offloading

KW - edge cloud

KW - heterogeneous networks

KW - Markov decision process (MDP)

KW - mobile edge computing (MEC)

KW - optimization

UR - http://www.scopus.com/inward/record.url?scp=85044260673&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85044260673&partnerID=8YFLogxK

U2 - 10.1109/ACCESS.2018.2818111

DO - 10.1109/ACCESS.2018.2818111

M3 - Article

AN - SCOPUS:85044260673

JO - IEEE Access

JF - IEEE Access

SN - 2169-3536

ER -