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A fair comparison of VM placement heuristics and a more effective solution |
Li, Xi; Ventresque, Anthony; Murphy, John; Thorburn, James
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Data center optimization, mainly through virtual
machine (VM) placement, has received considerable attention
in the past years. A lot of heuristics have been proposed to give
quick and reasonably good solutions to this problem. However it
is difficult to compare them as they use different datasets, while
the distribution of resources in the datasets has a big impact
on the results. In this paper we propose the first benchmark
for VM placement heuristics and we define a novel heuristic.
Our benchmark is inspired from a real data center and explores
different possible demographics of data centers, which makes it
suitable when comparing the behaviour of heuristics. Our new
algorithm, RBP, outperforms the state-of-the-art heuristics and
provides close to optimal results quickly.
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Keyword(s):
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VM placement; server consolidation; heuristic benchmark |
Publication Date:
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2014 |
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Type:
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Conference item |
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Peer-Reviewed:
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Yes |
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Language(s):
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English |
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Institution:
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University of Limerick |
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Funder(s):
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Science Foundation Ireland; Enterprise Ireland |
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Citation(s):
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13th International Symposium on Parallel and Distributed Computing;pp. 35-42
http://dx.doi.org/10.1109/ISPDC.2014.8
10/CE/I18955
IP/2010.0061 |
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Publisher(s):
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IEEE Computer Society |
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First Indexed:
2015-03-18 05:43:19 Last Updated:
2019-09-19 06:26:31 |
