Uncertainty in the Cloud: An Angel-Daemon Approach to Modelling Performance

Lecture Notes in Artificial Intelligence(2015)

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摘要
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. 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. 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.
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关键词
Uncertainty,Web-service,Orchestration,ORC,Cloud,Virtualization,Amazon EC2,Resource contention,Performance,Reliability,Game theory
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