International Society of Science and Applied Technologies |
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Reliability Assessment Based on Jump Diffusion Model for Cloud Computing under the Influence of Big Data | ||||
Author | Yoshinobu Tamura
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Co-Author(s) | Shigeru Yamada
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Abstract | At present, the cloud computing under the influence of big data by using such as OpenStack, Hadoop, NoSQL, etc. is known as a next-generation software service paradigm. However, the effective methods of software reliability assessment considering the interaction between the database software and the cloud software have been only few presented. Recently, the cloud computing is structured by using several software, e.g., Hadoop, NoSQL, OpenStack, and Eucalyptus. These are well-known as the bigdata- targeted processing software and the cloud computing software. The method of component-based reliability assessment for the software such as database and cloud is proposed in this paper. Moreover, we propose jump diffusion process modeling as the method of system-wide reliability assessment considering the entire environment of cloud computing. Then, we deeply perform software reliability analysis based on two kinds of data set in terms of the background factors. Also, we analyze the software failure-occurrence time data and the count data of the cumulative number of detected faults by applying the hazard rate model and jump diffusion process one. Moreover, several numerical examples for the actual data are shown in this paper.
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Keywords | Big data, Cloud computing, Reliability, Hazard rates, Jump diffusion process model | |||
Article #: 2199 |
August 6-8, 2015 - Philadelphia, Pennsylvia, U.S.A. |