Towards a Multi-Objective VM Reassignment for Large Decentralised Data Centres

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Title: Towards a Multi-Objective VM Reassignment for Large Decentralised Data Centres
Authors: Saber, TakfarinasVentresque, AnthonyBrandic, IvonaThorburn, JamesMurphy, Liam, B.E.
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Date: 10-Dec-2015
Online since: 2015-12-16T10:49:26Z
Abstract: Optimising the IT infrastructure of large, often geographically distributed, organisations goes beyond the classical virtual machine reassignment problem, for two reasons: (i) the data centres of these organisations are composed of a number of hosting departments which have different preferences on what to host and where to host it; (ii) the top-level managers in these data centres make complex decisions and need to manipulate possible solutions favouring different objectives to find the right balance. This challenge has not yet been comprehensively addressed in the literature and in this paper we demonstrate that a multi-objective VM reassignment is feasible for large decentralised data centres. We show on a realistic data set that our solution outperforms other classical multi-objective algorithms for VM reassignment in terms of quantity of solutions (by about 15% on average) and quality of the solutions set (by over 6% on average). 
Funding Details: Science Foundation Ireland
metadata.dc.description.othersponsorship: TU Vienna Distinguished Young Scientist Award 2011
Type of material: Conference Publication
Publisher: Conference Publishing Services
Keywords: Large decentralised data centresMachine reassignmentMulti-objective optimisationEvolutionary algorithms
DOI: 10.1109/UCC.2015.21
Language: en
Status of Item: Peer reviewed
Conference Details: 2015 IEEE/ACM 8th International Conference on Utility and Cloud Computing (UCC), Limassol, Cyprus, 7 - 10 December 2015
Appears in Collections:Computer Science Research Collection
PEL Research Collection

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