International Society of Science and Applied Technologies |
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An Extended Model of Real-Time Distributed Systems for Cloud Computing | ||||
Author | Mitsutaka Kimura
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Co-Author(s) | Mitsuhiro Imaizumi; Toshio Nakagawa
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Abstract | Recently, cloud computing has been widely used for the purpose of protecting client data on the Internet [1, 2]. But cloud computing has a character of slow response time because the data center is located in a remote place. In order to solve the problem, real-time distributed systems for cloud computing system has been proposed [3, 5, 6]. The cloud system consists of some intelligent nodes as well as a data center. The data center manages all of client data. The intelligent node provides client service near clients. It enables to provide client service at short response time[3]. We considered the reliability model of distributed information processing for cloud computing, derived cost effectiveness and discussed the optimal replication interval to minimize it [9]. Authors had deal with the server system with one failure mode. In this paper, we consider the reliability model of realtime distributed system with n intelligent nodes and formulate a stochastic model of the server system with n failure modes. We derive the expected numbers of the replication and of application processing. Further, we derive the expected cost and discuss an optimal replication interval to minimize it.
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Keywords | cloud computing, intelligent node, replication, failure mode, reliability | |||
Article #: 2141 |
August 6-8, 2015 - Philadelphia, Pennsylvia, U.S.A. |