Abstract—In market-based Grid systems, a main aim is to execute jobs with considered quality of service requirements based on user defined budget. Since grid has heterogonous resource with unpredictable faults, the user cost constraints and expected service requirements may not provided. Therefore, using a better approach to resource scheduling to reduce fault is necessary. This paper presents a predictive approach on fault tolerance mechanisms for faultless job scheduling on market-based grids. The Case-Based Reasoning technique has been used for selecting fault tolerant nodes. This approach applies a specific structure in order to prepare fault tolerance between provider nodes to retain system in a safe state with minimum data transferring. Certainly, this algorithm increases fault tolerant confidence therefore, performance of grid will be high.
Index Terms—Market-based grid, fault tolerance, case-based reasoning, job scheduling.
The author is with the Faculty of Information Technology and Computer Engineering, Azarbaijan Shahid Madani University, Tabriz, Iran (e-mail: a.bouyer@azaruniv.edu).
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Cite:Asgarali Bouyer, "A Reliable and Fault Tolerant Job Scheduling System in Market-Based Grids Using Case-Based Reasoning Method," International Journal of Modeling and Optimization vol. 3, no. 3, pp. 261-265, 2013.
