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Please use this identifier to cite or link to this item: https://dspace.lboro.ac.uk/2134/36915

Title: Live migration on ARM-based micro-datacentres
Authors: Avramidis, Ilias
Mackay, Michael
Tso, Fung Po
Fukai, Takaaki
Shinagawa, Takahiro
Keywords: Edge Computing
Micro-datacentres
ARM Virtualisation
Hypervisor
Live Migration
Bare metal Clouds
Issue Date: 2018
Publisher: © IEEE
Citation: AVRAMIDIS, I. ... et al, 2018. Live migration on ARM-based micro-datacentres. Presented at the 2018 15th IEEE Annual Consumer Communications & Networking Conference (CCNC), Las Vegas, USA, 12-15 January 2018.
Abstract: Live migration, underpinned by virtualisation technologies, has enabled improved manageability and fault tolerance for servers. However, virtualised server infrastructures suffer from significant processing overheads, system inconsistencies, security issues and unpredictable performance which makes them unsuitable for low-power and resource-constraint computing devices that processing latency-sensitive, 'Big-data'-type data. Consequently, we ask: 'How do we eliminate the overhead of virtualisation whilst still retaining its benefits?' Motivated by this question, we investigate a practical approach for a bare-metal live migration scheme for ARM-based instances low-power servers and edge devices. In this paper, we position ARM-based bare-metal live migration as a technique that will underpin the efficiency on edge-computing and on Micro-datacentres. We also introduce our early work on identifying three key technical challenges and discuss their solutions.
Description: © 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: The work has been supported in part by the UK Engineering and Physical Sciences Research Council (EPSRC) grants EP/P004407/1 and EP/P004024/1.
Version: Accepted for publication
DOI: 10.1109/CCNC.2018.8319241
URI: https://dspace.lboro.ac.uk/2134/36915
Publisher Link: https://doi.org/10.1109/CCNC.2018.8319241
ISBN: 9781538647905
Appears in Collections:Conference Papers and Presentations (Computer Science)

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