Xue-Yan Zeng

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A MapReduce cloud is the key to the success of cloud computing nowadays by the capability of processing large datasets simultaneously on nodes in a cloud. However, a MapReduce cloud may waste many CPU resources to frequently process similar intermediate data in its Reduce tasks because specific intermediate data is always moved to specific Slave nodes. A(More)
When cloud computing works for applications such as iterative applications, geographic map rendering applications, and news or URL ranking applications in order to process big data with MapReduce, it has many chances to process duplicate or similar datasets appearing in input data or intermediate data. Since processing duplicate datasets wastes many(More)
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