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- W4243214523 abstract "Computational Grid attributed with distributed load sharing has evolved as a platform to large scale problem solving. Grid is a collection of heterogeneous resources, offering services of varying natures, in which jobs are submitted to any of the participating nodes. Scheduling these jobs in such a complex and dynamic environment has many challenges. Reliability analysis of the grid gains paramount importance because grid involves a large number of resources which may fail anytime, making it unreliable. These failures result in wastage of both computational power and money on the scarce grid resources. It is normally desired that the job should be scheduled in an environment that ensures maximum reliability to the job execution. This work presents a reliability based scheduling model for the jobs on the computational grid. The model considers the failure rate of both the software and hardware grid constituents like application demanding execution, nodes executing the job, and the network links supporting data exchange between the nodes. Job allocation using the proposed scheme becomes trusted as it schedules the job based on a priori reliability computation." @default.
- W4243214523 created "2022-05-12" @default.
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- W4243214523 date "2012-10-22" @default.
- W4243214523 modified "2023-09-27" @default.
- W4243214523 title "Reliability Based Scheduling Model (RSM) for Computational Grids" @default.
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- W4243214523 doi "https://doi.org/10.4018/978-1-4666-2647-8.ch003" @default.
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