Live Service Migration in Mobile Edge Clouds
File(s)Shiqiang_Wang_Edge_Clouds_IEEE_Com_Mag_2017.pdf (300.45 KB)
Accepted version
Author(s)
Machen, Andrew
Wang, Shiqiang
Leung, Kin K
Ko, Bong Jun
Salonidis, Theodoros
Type
Journal Article
Abstract
Mobile edge clouds (MECs) bring the benefits of the cloud closer to the user, by installing small cloud infrastructures at the network edge. This enables a new breed of real-time applications, such as instantaneous object recognition and safety assistance in intelligent transportation systems, that require very low latency. One key issue that comes with proximity is how to ensure that users always receive good performance as they move across different locations. Migrating services between MECs is seen as the means to achieve this. This article presents a layered framework for migrating active service applications that are encapsulated either in virtual machines (VMs) or containers. This layering approach allows a substantial reduction in service downtime. The framework is easy to implement using readily available technologies, and one of its key advantages is that it supports containers, which is a promising emerging technology that offers tangible benefits over VMs. The migration performance of various real applications is evaluated by experiments under the presented framework. Insights drawn from the experimentation results are discussed.
Date Issued
2017-08-03
Date Acceptance
2017-07-25
Citation
IEEE WIRELESS COMMUNICATIONS, 2017, 25 (1), pp.140-147
ISSN
1536-1284
Publisher
IEEE
Start Page
140
End Page
147
Journal / Book Title
IEEE WIRELESS COMMUNICATIONS
Volume
25
Issue
1
Copyright Statement
© 2018 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Sponsor
IBM United Kingdom Ltd
Identifier
http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000426796000021&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=1ba7043ffcc86c417c072aa74d649202
Grant Number
4603317662
Subjects
Science & Technology
Technology
Computer Science, Hardware & Architecture
Computer Science, Information Systems
Engineering, Electrical & Electronic
Telecommunications
Computer Science
Engineering
Publication Status
Published