Cost-Effective Resource Provisioning for MapReduce in a Cloud
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Cost-Effective Resource Provisioning for MapReduce in a Cloud
Abstract—Cost-Effective Resource Provisioning for MapReduce in a Cloud. Presents a new MapReduce cloud service model, Cura, for provisioning cost-effective MapReduce services in a cloud. In contrast to existing < Final Year Projects 2016 > MapReduce cloud services such as a generic compute cloud or a dedicated MapReduce cloud, Cura has a number of unique benefits. First, Cura is designed to provide a cost-effective solution to efficiently handle MapReduce production workloads that have a significant amount of interactive jobs. Second, unlike existing services that require customers to decide the resources to be used for the jobs, Cura leverages MapReduce profiling to automatically create the best cluster configuration for the jobs. While the existing models allow only a per-job resource optimization for the jobs.
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