Spatial and Temporal Computation Offloading Decision Algorithm in Edge Cloud-Enabled Heterogeneous Networks
- Authors
- Ko, Haneul; Lee, Jaewook; Pack, Sangheon
- Issue Date
- 2018
- Publisher
- IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
- Keywords
- Cloud computing; edge cloud; mobile edge computing (MEC); computation offloading; Markov decision process (MDP); optimization; heterogeneous networks
- Citation
- IEEE ACCESS, v.6, pp.18920 - 18932
- Indexed
- SCIE
SCOPUS
- Journal Title
- IEEE ACCESS
- Volume
- 6
- Start Page
- 18920
- End Page
- 18932
- URI
- https://scholar.korea.ac.kr/handle/2021.sw.korea/81004
- DOI
- 10.1109/ACCESS.2018.2818111
- ISSN
- 2169-3536
- 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.
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Collections - Graduate School > Department of Computer and Information Science > 1. Journal Articles
- College of Engineering > School of Electrical Engineering > 1. Journal Articles
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