Reliability Assessment Based on Two-Dimensional Wiener Processes for Big Data  
Author Yoshinobu Tamura


Co-Author(s) Shigeru Yamada


Abstract At present, the big data and cloud computing are now attracting attention as the next-generation software service paradigm. Then, the cloud services are served as open source software because of the cost reduction, quick delivery, and work saving. We focus on big data on cloud computing by using open source software. In particular, the software service paradigm is changing to the service one based on the big data on cloud computing. In this paper, we propose a stochastic differential equation model based on two dimensionalWiener processes in order to consider the interesting aspect of the big data and fault one. Also, we derive several reliability assessment measures from the proposed model. Moreover, we analyze actual data to show numerical examples of software reliability assessment considering such characteristics of big data on cloud computing. Furthermore, we show the numerical examples of the proposed model’s performance from the standpoint of the data and fault factors.


Keywords Big data, Cloud computing, Reliability, Two-dimensional stochastic differential equation model
    Article #:  20193
Proceedings of the 20th ISSAT International Conference on Reliability and Quality in Design
August 7-9, 2014 - Seattle, Washington, U.S.A.