• DocumentCode
    3576675
  • Title

    Reliability analysis based on three-dimensional stochastic differential equation for big data on cloud computing

  • Author

    Tamura, Yoshinobu ; Miyaoka, Kenta ; Yamada, Shigeru

  • Author_Institution
    Grad. Sch. of Sci. & Eng., Yamaguchi Univ., Ube, Japan
  • fYear
    2014
  • Firstpage
    863
  • Lastpage
    867
  • Abstract
    The big data and cloud computing are attracting attention as a network service to share the computing resources such as networks, servers, storage, applications, and services. Also, many open source software are used in various software development because of the low cost, quick delivery, and standardization. In order to consider the interesting aspect of the big data and network traffic, a new approach to software reliability assessment based on three dimensional stochastic differential equation model is presented in this paper. Also, this paper analyzes actual data to show numerical examples of software reliability assessment considering such characteristics of big data on cloud computing. Moreover, performance examples of the proposed model for the big data on cloud computing are shown. Then, the performance of our model in terms of the big data, network traffic, and software fault is discussed in this paper.
  • Keywords
    Big Data; cloud computing; differential equations; public domain software; software reliability; stochastic processes; 3D stochastic differential equation model; big data; cloud computing; network traffic; open source software; reliability analysis; software development; software fault; software reliability assessment; Big data; Cloud computing; Computational modeling; Mathematical model; Software reliability; Cloud computing; big data; reliability analysis; stochastic differential equation; three dimensional modeling;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Engineering and Engineering Management (IEEM), 2014 IEEE International Conference on
  • Type

    conf

  • DOI
    10.1109/IEEM.2014.7058761
  • Filename
    7058761