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EUROPAR
2005
Springer

Modeling Machine Availability in Enterprise and Wide-Area Distributed Computing Environments

9 years 4 months ago
Modeling Machine Availability in Enterprise and Wide-Area Distributed Computing Environments
In this paper, we consider the problem of modeling machine availability in enterprise-area and wide-area distributed computing settings. Using availability data gathered from three different environments, we detail the suitability of four potential statistical distributions for each data set: exponential, Pareto, Weibull, and hyperexponential. In each case, we use software we have developed to determine the necessary parameters automatically from each data collection. To gauge suitability, we present both graphical and statistical evaluations of the accuracy with each distribution fits each data set. For all three data sets, we find that a hyperexponential model fits slightly more accurately than a Weibull, but that both are substantially better choices than either an exponential or Pareto. These results indicate that either a hyperexponential or Weibull model effectively represents machine availability in enterprise and Internet computing environments.
Daniel Nurmi, John Brevik, Richard Wolski
Added 27 Jun 2010
Updated 27 Jun 2010
Type Conference
Year 2005
Where EUROPAR
Authors Daniel Nurmi, John Brevik, Richard Wolski
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