A geo-aware server assignment problem for mobile edge computing. Issue 6 (1st November 2020)

• Record Type: Journal Article
• Authors: Tran, Duc A.; Vo, Quynh
• Is Part Of: International journal of parallel, emergent and distributed systems. Volume 35:Issue 6(2020)
• Page Start: 652
• Page End: 667
• Publication Date: 2020-11-01
• Subjects: Mobile edge computing -- optimisation -- heuristic -- server assignment -- geo-aware -- cloud computing; Parallel computers -- Periodicals; Electronic data processing -- Distributed processing -- Periodicals; Computer algorithms -- Periodicals; 004.35
• DOI: 10.1080/17445760.2018.1509216
• Languages: English
• ISSNs: 1744-5760

Abstract

ABSTRACT: As mobile devices have become the preferred tool for communication, work, and entertainment, traffic at the edge of the network is growing more rapidly than ever. To improve user experience, commodity servers are deployed in the edge to form a decentralised network of mini datacenters each serving a localised region. A challenge is how to place these servers geographically to maximise the offloading benefit and be close to the users they respectively serve. We introduce a formulation for this problem to serve applications that involve pairwise communication between mobile devices at different geolocations. We explore several heuristic solutions and compare them in an evaluation using both real-world and synthetic datasets. GRAPHICAL ABSTRACT: