An Extended Model of Real-Time Distributed Systems for Cloud Computing  
Author Mitsutaka Kimura


Co-Author(s) Mitsuhiro Imaizumi; Toshio Nakagawa


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.


Keywords cloud computing, intelligent node, replication, failure mode, reliability
    Article #:  2141
Proceedings of the 21st ISSAT International Conference on Reliability and Quality in Design
August 6-8, 2015 - Philadelphia, Pennsylvia, U.S.A.