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.
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Kimura, M., Zhao, X., Nakagawa, T. (2016). Reliability Analysis of a Cloud Computing System with Replication: Using Markov Renewal Processes. In: Fiondella, L., Puliafito, A. (eds) Principles of Performance and Reliability Modeling and Evaluation. Springer Series in Reliability Engineering. Springer, Cham. https://doi.org/10.1007/978-3-319-30599-8_15
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DOI: https://doi.org/10.1007/978-3-319-30599-8_15
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