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Live Service Migration in Mobile Edge Clouds

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Title: Live Service Migration in Mobile Edge Clouds
Authors: Machen, A
Wang, S
Leung, KK
Ko, BJ
Salonidis, T
Item 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.
Issue Date: 3-Aug-2017
Date of Acceptance: 25-Jul-2017
URI: http://hdl.handle.net/10044/1/58672
DOI: https://dx.doi.org/10.1109/MWC.2017.1700011
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/Funder: IBM United Kingdom Ltd
Funder's Grant Number: 4603317662
Keywords: Science & Technology
Technology
Computer Science, Hardware & Architecture
Computer Science, Information Systems
Engineering, Electrical & Electronic
Telecommunications
Computer Science
Engineering
0906 Electrical And Electronic Engineering
0805 Distributed Computing
1005 Communications Technologies
Networking & Telecommunications
Publication Status: Published
Appears in Collections:Electrical and Electronic Engineering
Faculty of Engineering