Parallel Data Processing for Effective Dynamic Resource Allocation in the Cloud

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Provided by: International Journal of Computer Applications
Topic: Cloud
Format: PDF
Parallel data processing has become more and more reliable phenomenon due to the realization of could computing, especially using IaaS (Infrastructure-as-a-Service) clouds. The cloud service providers such as IBM, Google, Microsoft and Oracle have made provisions for parallel data processing in their cloud services. Nevertheless, the frameworks used as of now are static and homogenous in nature in a cluster environment. The problem with these frameworks is that the resource allocation when large jobs are submitted is not efficient as they take more time for processing besides incurring more cost.
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