Optimal Management Policy for a Distributed Processing System | ||||
Author | Mitsuhiro Imaizumi
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Co-Author(s) | Mitsutaka Kimura
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Abstract | As the Internet and the cloud computing have developed, huge amounts of data have been generated and have been stored in the server. To execute the processing of huge amounts of data effectively, a distributed processing system has been widely used. This paper formulates stochastic models for a distributed processing system. A data is replicated and is divided into n small data respectively. Replicated n small data are executed with consistency. The mean time until the processing of a data is successful and an optimal policy which minimizes it is discussed. Finally, numerical examples are given.
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Keywords | Distributed Processing, Markov Renewal Process, Mean Time, Optimal Policy | |||
Article #: 1932 |
August 5-7, 2013 - Honolulu, Hawaii, U.S.A. |