Título:
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Uncertainty in the cloud: an angel-daemon approach to modelling performance
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Autor/a:
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Stewart, Alan; Gabarró Vallès, Joaquim; Keenan, Anthony
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Otros autores:
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Universitat Politècnica de Catalunya. Departament de Ciències de la Computació; Universitat Politècnica de Catalunya. ALBCOM - Algorismia, Bioinformàtica, Complexitat i Mètodes Formals |
Abstract:
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Uncertainty 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.
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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. |
Abstract:
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Peer Reviewed |
Materia(s):
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-Àrees temàtiques de la UPC::Informàtica -Uncertainty -Web-service -orchestration -ORC -cloud -virtualization -Amazon EC2 -resource contention -performance -reliability -game theory |
Derechos:
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http://creativecommons.org/licenses/by-nc-nd/3.0/es/ |
Tipo de documento:
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Artículo - Versión presentada Objeto de conferencia |
Editor:
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Springer
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Compartir:
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