Quantifying cloud workload burstiness: New measures and models

Abstract

diverse cloud applications deployed on-demand make for workload burstiness. Burstiness is quantified statistically through different variance measures. This paper focuses on the statistical measures used to quantify cloud workload burstiness. Using diverse workloads, it identifies different statistical models that uniquely capture workload specific… (More)
DOI: 10.23919/INM.2017.7987419

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