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VM reassignment in hybrid clouds for large decentralised companies: A multi-objective challenge
Date Issued
2017
Abstract
Optimising the data centres of large IT organisations is complex as (i) they are composed of various hosting departments with their own preferences and (ii) reassignment solutions can be evaluated from various independent dimensions. But in reality, the problem is even more challenging as companies can now choose from a pool of cloud services to host some of their workloads. This hybrid search space seems intractable, as each workload placement decision (seen as running in a virtual machine on a server) is required to answer many questions: can we host it internally? In which hosting department? Are the capital allocators of this hosting department ok with this placement? How much does it save us and is it safe? Is there a better option in the Cloud? Etc. In this paper, we define the multi-objective VM reassignment problem for hybrid and decentralised data centres. We also propose H2¿D2, a solution that uses a multi-layer architecture and a metaheuristic algorithm to suggest reassignment solutions that are evaluated by the various hosting departments (according to their preferences). We compare H2¿D2 against state-of-the-art multi-objective algorithms and find that H2¿D2 outperforms them both in terms of quantity (approx 30% more than the second-best algorithm on average) and quality of solutions (19% better than the second-best on average).
Sponsorship
Science Foundation Ireland
Other Sponsorship
Lero
Type of Material
Journal Article
Publisher
Elsevier
Journal
Future Generation Computer Systems
Volume
79
Issue
Part 2
Start Page
751
End Page
764
Copyright (Published Version)
2017 Elsevier
Language
English
Status of Item
Peer reviewed
This item is made available under a Creative Commons License
File(s)
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Name
FGCS_VMReassignmentinHybridClouds.pdf
Size
4.36 MB
Format
Adobe PDF
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