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Fuzzy modeling to predict performance of collocated virtual machines in private clouds
The University of Sydney, Australia.
The University of Sydney, Australia.ORCID iD: 0000-0001-9194-010X
The University of Sydney, Sydney, Australia.
2014 (English)In: Software, Telecommunications and Computer Networks (SoftCOM), 2014 22nd International Conference on, IEEE Press, 2014Conference paper (Refereed)
Place, publisher, year, edition, pages
IEEE Press, 2014.
Keyword [en]
client-server systems, cloud computing, fuzzy set theory, input-output programs, relational databases, resource allocation, virtual machines, virtualisation, PM, RDBMS, VM, client-server side applications, collocated virtual machine performance prediction, disk I/O, fuzzy modeling, memory, network consumption profiles, physical machines, private clouds, relational database management systems, resource allocation decisions, resource contention, Computational modeling, Degradation, Mathematical model, Predictive models, Resource management, Servers, Virtualization, consolidation, performance
National Category
Computer Science
Research subject
Computer Science
Identifiers
URN: urn:nbn:se:kau:diva-46099ISI: 000380555000036OAI: oai:DiVA.org:kau-46099DiVA: diva2:970894
Conference
22 International Conference on Software, Telecommunications and Computer Networks, SEP 17-19, 2014, Split, Croatia
Available from: 2016-09-15 Created: 2016-09-15 Last updated: 2016-10-15Bibliographically approved

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Taheri, Javid
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