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A Hadoop system provides execution and multiplexing of many tasks in a common datacenter. There is a rising demand for sharing Hadoop clusters amongst various users, which leads to increasing system… (More)
The scalability of Cloud infrastructures has significantly increased their applicability. Hadoop, which works based on a MapReduce model, provides for efficient processing of Big Data. This solution… (More)
The rule based scheduling algorithms are a new trend in grid scheduling algorithms; the combination of rule based algorithms for resource selection with various dispatching rules for queuing of jobs… (More)
Hadoop has been developed as a solution for performing large-scale data-parallel applications in Cloud computing. A Hadoop system can be described based on three factors: cluster, workload, and user.… (More)
The MapReduce and Hadoop frameworks were designed to support efficient large scale computations. There has been growing interest in employing Hadoop clusters for various diverse applications. A large… (More)
Advances in network technologies and computing resources have led to the possibility of deploying large scale computational systems, such as those following a Grid architecture (or related… (More)