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vmBBThrPred: A Black-Box Throughput Predictor for Virtual Machines in Cloud Environments
Karlstad University, Faculty of Health, Science and Technology (starting 2013), Department of Mathematics and Computer Science.ORCID iD: 0000-0001-9194-010X
The University of Sydney, Sydney, Australia.
Karlstad University, Faculty of Economic Sciences, Communication and IT, Department of Computer Science. Karlstad University, Faculty of Economic Sciences, Communication and IT, Centre for HumanIT. (DISCO)ORCID iD: 0000-0002-9446-8143
2016 (English)Conference paper (Refereed)
Place, publisher, year, edition, pages
Springer, 2016. 18-33 p.
Series
Lecture Notes in Computer Science (LNCS), 9846
Keyword [en]
Cloud Computing, Performance Degradation, Performance Modeling
National Category
Computer Science
Research subject
Computer Science
Identifiers
URN: urn:nbn:se:kau:diva-45844DOI: 10.1007/978-3-319-44482-6_2OAI: oai:DiVA.org:kau-45844DiVA: diva2:968105
Conference
5th IFIP WG 2.14 European Conference on Service-Oriented and Cloud Computing (ESOCC 2016), Vienna, Austria, September 5-7, 2016
Projects
HITs
Available from: 2016-09-12 Created: 2016-09-12 Last updated: 2017-02-20Bibliographically approved

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Taheri, JavidKassler, Andreas
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CiteExportLink to record
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