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dc.contributor.authorStewart, Alan
dc.contributor.authorGabarró Vallès, Joaquim
dc.contributor.authorKeenan, Anthony
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament de Ciències de la Computació
dc.date.accessioned2016-03-17T17:17:03Z
dc.date.available2016-03-17T17:17:03Z
dc.date.issued2015
dc.identifier.citationStewart, A., Gabarro, J., Keenan, A. Uncertainty in the cloud: an angel-daemon approach to modelling performance. A: Symbolic and Quantitative Approaches to Reasoning with Uncertainty. "Symbolic and Quantitative Approaches to Reasoning with Uncertainty - 13th European Conference, ECSQARU 2015,". Compiegne: Springer, 2015, p. 141-150.
dc.identifier.isbn978-3-319-20806-0
dc.identifier.urihttp://hdl.handle.net/2117/84672
dc.description.abstractUncertainty profiles are used to study the effects of contention within cloud and service-based environments. An uncertainty profile provides a qualitative description of an environment whose quality of service (QoS) may fluctuate unpredictably. For example, the performance of an application running on a virtual machine can be affected both by the way in which resources are allocated at run-time as well as by hardware contention issues. The aim of this paper is to model the influence that cloud (or service-based) environments can have on an application's performance. % Uncertain environments are modelled by strategic games with two agents; a daemon is used to represent overload and high resource contention; an angel is used to represent an idealised resource allocation situation with no underlying contention. %An assessment of mixed-stress situations is found by finding the Nash equilibria of games constructed from uncertainty profiles. Assessments of uncertainty profiles are useful in two ways: firstly, they provide a broad understanding of how environmental stress can effect an application's performance (and reliability); secondly, they allow the effects of introducing redundancy into a computation to be assessed.
dc.format.extent10 p.
dc.language.isoeng
dc.publisherSpringer
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/
dc.subjectÀrees temàtiques de la UPC::Informàtica
dc.subject.otherUncertainty
dc.subject.otherWeb-service
dc.subject.otherorchestration
dc.subject.otherORC
dc.subject.othercloud
dc.subject.othervirtualization
dc.subject.otherAmazon EC2
dc.subject.otherresource contention
dc.subject.otherperformance
dc.subject.otherreliability
dc.subject.othergame theory
dc.titleUncertainty in the cloud: an angel-daemon approach to modelling performance
dc.typeConference report
dc.contributor.groupUniversitat Politècnica de Catalunya. ALBCOM - Algorismia, Bioinformàtica, Complexitat i Mètodes Formals
dc.identifier.doi10.1007/978-3-319-20807-7_13
dc.description.peerreviewedPeer Reviewed
dc.relation.publisherversionhttp://link.springer.com/chapter/10.1007%2F978-3-319-20807-7_13
dc.rights.accessOpen Access
local.identifier.drac17254413
dc.description.versionPostprint (author's final draft)
local.citation.authorStewart, A.; Gabarro, J.; Keenan, A.
local.citation.contributorSymbolic and Quantitative Approaches to Reasoning with Uncertainty
local.citation.pubplaceCompiegne
local.citation.publicationNameSymbolic and Quantitative Approaches to Reasoning with Uncertainty - 13th European Conference, ECSQARU 2015,
local.citation.startingPage141
local.citation.endingPage150


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