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Scheduling Strategies in Grid Computing Environment: a Survey
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Abstract
Grid Computing is a technology that integrates various forms of resources that contribute themselves in a geographically distributed environment. The heterogeneous resources are utilized by large-scale business and scientific applications. The resource management complexities increase due to the heterogeneity of resources and scalable nature of the grid environment. To manage the issues efficient resource management techniques are needed. Proper scheduling strategies can increase the efficiency of resource management systems. Scheduling is the process of allocating the jobs to the appropriate resources. This paper presents a package of scheduling strategies and factors that influence grid scheduling. The study finds algorithms that are data intensive, computation intensive, communication intensive, application intensive and so on. Generally these algorithms emphasis minimum execution time, load balancing, fault tolerance, task duplication, network behavior, job migration, rescheduling, dependencies, etc.
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