Keywords: method of moments, maximum likelihood method, parallel workloads, rigid jobs, simulation, stochastic approximation, hypergamma distribution
REDUCING THE APPROXIMATION TIME OF CLUSTER WORKLOAD BY USING SIMPLIFIED HYPERGAMMA DISTRIBUTION
UDC 004.942
An important method to analyze parallel workloads is modeling execution of those systems by using parallel workload models. We have already proposed many models, but all these models use a continuous variable approximation. In this paper a simplified method of Hypergamma distribution approximation is proposed. It reduces the number of the approximated distribution’s parameters and then uses Method of Moemnts or Maximum Likelihood Method. To validate the quality of the results described in this paper we use the simulation of this approximation and compare the results with the original workload in this paper.
Keywords: method of moments, maximum likelihood method, parallel workloads, rigid jobs, simulation, stochastic approximation, hypergamma distribution
For citation: Ahmed W.A. , Gaevoy S.V. , Fomenkov S.A. , REDUCING THE APPROXIMATION TIME OF CLUSTER WORKLOAD BY USING SIMPLIFIED HYPERGAMMA DISTRIBUTION. Bulletin of the Voronezh Institute of High Technologies. 2017;11(4). Available from: https://vestnikvivt.ru/ru/journal/pdf?id=336 (In Russ).
Published 31.12.2017