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

Mitsutaka Kimura (), Xufeng Zhao () and Toshio Nakagawa ()
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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

A chapter in Principles of Performance and Reliability Modeling and Evaluation, 2016, pp 401-423 from Springer

Abstract: 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.

Keywords: Data Center; Optimal Policy; Preventive Maintenance; Short Response Time; Client Request (search for similar items in EconPapers)
Date: 2016
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Persistent link: https://EconPapers.repec.org/RePEc:spr:ssrchp:978-3-319-30599-8_15

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DOI: 10.1007/978-3-319-30599-8_15

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