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Reliability Analysis of a Cloud Computing System with Replication: Using Markov Renewal Processes

In: Principles of Performance and Reliability Modeling and Evaluation

Author

Listed:
  • Mitsutaka Kimura

    (Department of Cross Cultural Studies, Gifu City Women’s College)

  • Xufeng Zhao

    (Qatar University)

  • Toshio Nakagawa

    (Department of Business Administration, Aichi Institute of Technology)

Abstract

Cloud computing is an important infrastructure for many industries. There are increasing needs for such new techniques in data protection, short response time, reduced management cost, etc. A cloud computing system with distributed information and communication processing capabilities has been proposed [1–3] which consists of some intelligent nodes as well as a data center. A short response time in delivering data could be made by using multiple intelligent nodes near each client rather than a data center. In order to protect client data, all of intelligent nodes need to transmit the database content to a data center via a network link, which is called replication. There are two replication strategies which are known as synchronous and asynchronous schemes [4–6]. Using techniques of Markov renewal processes, this chapter summarizes reliability analyses of a cloud computing system with the above two replications, and focuses on some optimization problems to make regular backups of client data from all of the intelligent nodes to a data center.

Suggested Citation

  • Mitsutaka Kimura & Xufeng Zhao & Toshio Nakagawa, 2016. "Reliability Analysis of a Cloud Computing System with Replication: Using Markov Renewal Processes," Springer Series in Reliability Engineering, in: Lance Fiondella & Antonio Puliafito (ed.), Principles of Performance and Reliability Modeling and Evaluation, pages 401-423, Springer.
    • Handle: RePEc:spr:ssrchp:978-3-319-30599-8_15
    DOI: 10.1007/978-3-319-30599-8_15
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