International Society of Science and Applied Technologies |
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Optimization and Reliability Analysis Tool Based on Multi-Dimensional Wiener Processes for Big Data on Cloud Computing | ||||
Author | Yoshinobu Tamura
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Co-Author(s) | Shigeru Yamada
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Abstract | This paper focuses on a big data on cloud computing environment by using open source software such as OpenStack and Eucalyptus because of the unification management of data and low cost. We discuss a new approach to software dependability assessment based on stochastic differential equation modeling in order to consider the interesting aspect of the numbers of components, cloud applications, and users. Moreover, we consider the determination of an optimum software maintenance time minimizing the total expected software cost. In particular, we develop the three-dimensional AIR application for reliability and cost optimization analysis based on the proposed method. Then, we show numerical performance of the developed AIR application to evaluate the method of software reliability assessment for the big data on cloud computing.
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Keywords | Optimization, Reliability, Software Tool, Big Data, Cloud Computing | |||
Article #: 23-185 |
August 3-5, 2017 - Chicago, Illinois, U.S.A. |