Cross-Server Computation Offloading for Multi-Task Mobile Edge Computing

As an emerging network architecture and technology, mobile edge computing (MEC) can alleviate the tension between the computation-intensive applications and the resource-constrained mobile devices. However, most available studies on computation offloading in MEC assume that the edge severs host vari...

Full description

Saved in:
Bibliographic Details
Published in:Information (Basel) 2020-02, Vol.11 (2), p.96
Main Authors: Shi, Yongpeng, Xia, Yujie, Gao, Ya
Format: Article
Language:English
Subjects:
cross-server computation offloading
energy consumption minimization
greedy algorithm
mobile edge computing
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:As an emerging network architecture and technology, mobile edge computing (MEC) can alleviate the tension between the computation-intensive applications and the resource-constrained mobile devices. However, most available studies on computation offloading in MEC assume that the edge severs host various applications and can cope with all kinds of computation tasks, ignoring limited computing resources and storage capacities of the MEC architecture. To make full use of the available resources deployed on the edge servers, in this paper, we study the cross-server computation offloading problem to realize the collaboration among multiple edge servers for multi-task mobile edge computing, and propose a greedy approximation algorithm as our solution to minimize the overall consumed energy. Numerical results validate that our proposed method can not only give near-optimal solutions with much higher computational efficiency, but also scale well with the growing number of mobile devices and tasks.
ISSN:2078-2489
2078-2489
DOI:10.3390/info11020096