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Rapport (Rapport De Recherche) Année : 2010

Forecasting for Cloud computing on-demand resources based on pattern matching

Résumé

The Cloud phenomenon brings along the cost-saving benefit of dynamic scaling. Knowledge in advance is necessary as the virtual resources that Cloud computing uses have a setup time that is not negligible. We propose a new approach to the problem of workload prediction based on identifying similar past occurrences to the current short-term workload history. We present in detail the auto-scaling algorithm that uses the above approach as well as experimental results by using real-world data and an overall evaluation of this approach, its potential and usefulness.
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Dates et versions

inria-00460393 , version 1 (09-03-2010)
inria-00460393 , version 2 (02-07-2010)
inria-00460393 , version 3 (19-10-2011)

Identifiants

  • HAL Id : inria-00460393 , version 3

Citer

Eddy Caron, Frédéric Desprez, Adrian Muresan. Forecasting for Cloud computing on-demand resources based on pattern matching. [Research Report] RR-7217, INRIA. 2010, pp.26. ⟨inria-00460393v3⟩
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