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Download fileLive migration on ARM-based micro-datacentres
conference contribution
posted on 2019-02-18, 11:51 authored by Ilias Avramidis, Michael Mackay, Fung Po TsoFung Po Tso, Takaaki Fukai, Takahiro ShinagawaLive 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.
Funding
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.
History
School
- Science
Department
- Computer Science
Published in
2018 15th IEEE Annual Consumer Communications & Networking Conference (CCNC) CCNC 2018 - 2018 15th IEEE Annual Consumer Communications and Networking ConferenceVolume
2018-JanuaryPages
1 - 6Citation
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.Publisher
© IEEEVersion
- AM (Accepted Manuscript)
Acceptance date
2017-10-08Publication date
2018Notes
© 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.ISBN
9781538647905eISSN
2331-9860Publisher version
Language
- en