2017 Fiscal Year Final Research Report
A Method of Cloud Reliability Assessment Based on Big Data Analysis with Application to Software Tool
| Project/Area Number |
15K00102
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| Research Category |
Grant-in-Aid for Scientific Research (C)
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| Allocation Type | Multi-year Fund |
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| Section | 一般 |
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| Research Field |
Software
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| Research Institution | Tokyo City University (2017)
Yamaguchi University (2015-2016) |
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Principal Investigator |
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| Co-Investigator(Kenkyū-buntansha) |
山田 茂 鳥取大学, 工学研究科, 教授 (50166708)
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| Project Period (FY) |
2015-04-01 – 2018-03-31
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| Keywords | ビッグデータ / クラウドコンピューティング / ソフトウェア / 信頼性 |
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| Outline of Final Research Achievements |
In this research, we have focused on the big data on cloud computing. The big data and cloud computing are now attracting attention as the next-generation software service paradigm. In case of considering the effect of external factors on entire system in the development of software reliability assessment methods for cloud computing, it is necessary to grasp the deeply-intertwined factors. Then, we consider that three factors of big data have an effect on the cloud computing, directly and indirectly. We have proposed a method of software dependability and reliability assessment based on jump diffusion process modeling in order to consider the indirect factors. In particular, we have developed the three-dimensional application software for reliability and cost optimization analyses based on the proposed method. Moreover, the three-dimensional application software have been developed and opened as the open source software.
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| Free Research Field |
ソフトウェア工学
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