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Predicting application performance for multi-vendor clouds using dwarf benchmarks

Predicting application performance for multi-vendor clouds using dwarf benchmarks
Predicting application performance for multi-vendor clouds using dwarf benchmarks
978-3-642-35062-7
7651
659-665
Springer Berlin Heidelberg
Engen, Vegard
5ab4f73a-6cb5-4a58-9d89-ebced3182962
Papay, Juri
21652b35-de29-439c-b343-cb3437ef2f9e
Phillips, Stephen
47610c30-a543-4bac-a96a-bc1fce564a59
Boniface, Mike
f30bfd7d-20ed-451b-b405-34e3e22fdfba
Wang, X.S.
Cruz, I.
Delis, A.
Huang, G.
Engen, Vegard
5ab4f73a-6cb5-4a58-9d89-ebced3182962
Papay, Juri
21652b35-de29-439c-b343-cb3437ef2f9e
Phillips, Stephen
47610c30-a543-4bac-a96a-bc1fce564a59
Boniface, Mike
f30bfd7d-20ed-451b-b405-34e3e22fdfba
Wang, X.S.
Cruz, I.
Delis, A.
Huang, G.

Engen, Vegard, Papay, Juri, Phillips, Stephen and Boniface, Mike (2012) Predicting application performance for multi-vendor clouds using dwarf benchmarks. Wang, X.S., Cruz, I., Delis, A. and Huang, G. (eds.) In Web Information Systems Engineering - WISE 2012: 13th International Conference Paphos, Cyprus, November 28–30, 2012 Proceedings. Springer Berlin Heidelberg. pp. 659-665 . (doi:10.1007/978-3-642-35063-4).

Record type: Conference or Workshop Item (Paper)
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Predicting Application Performance WISE2012 preprint.pdf - Accepted Manuscript
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Published date: November 2012
Organisations: Electronics & Computer Science, IT Innovation

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Local EPrints ID: 349299
URI: http://eprints.soton.ac.uk/id/eprint/349299
ISBN: 978-3-642-35062-7
PURE UUID: 59518eeb-65b0-4f9b-a353-ce9d76480fc1
ORCID for Stephen Phillips: ORCID iD orcid.org/0000-0002-7901-0839

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Date deposited: 04 Mar 2013 10:30
Last modified: 03 Dec 2019 01:57

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