Improving Hadoop Service Provisioning in A Geographically Distributed Cloud

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Provided by: Georgia Tech
Topic: Cloud
Format: PDF
With more data generated and collected in a geographically distributed manner, combined by the increased computational requirements for large scale data-intensive analysis, the authors have witnessed the growing demand for geographically distributed Cloud datacenters and hybrid Cloud service provisioning, enabling organizations to support instantaneous demand of additional computational resources and to expand in house resources to maintain peak service demands by utilizing cloud resources. A key challenge for running applications in such a geographically distributed computing environment is how to efficiently schedule and perform analysis over data that is geographically distributed across multiple datacenters.
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