International Society of Science and Applied Technologies |
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Optimal Server Strategies for Big Data | ||||
Author | Syouji Nakamura
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Co-Author(s) | Xufeng Zhao; Toshio Nakagawa
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Abstract | This paper considers an optimization problem of database management for Big data in server systems. The classification of three hierarchies for data storage are observed and modeled. To save the total expected cost of scanning and movement for the Big data, we suppose scanning occurs at a non-homogeneous Poisson process and related costs for scanning and movement are given. We obtain the expected cost rates, where number N of scans and movement interval time T are optimized. Finally, numerical examples are given.
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Keywords | Stochastic model, Database management, Big data, Optimal policy | |||
Article #: 2075 |
August 7-9, 2014 - Seattle, Washington, U.S.A. |