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Improving Hadoop Service Provisioning in a Geographically Distributed Cloud
2014
2014 IEEE 7th International Conference on Cloud Computing
With more data generated and collected in a geographically distributed manner, combined by the increased computational requirements for large scale data-intensive analysis, we 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 inhouse resources to maintain peak service demands by utilizing cloud resources. A key
doi:10.1109/cloud.2014.65
dblp:conf/IEEEcloud/ZhangLLZSMGA14
fatcat:pjzhqt633vavnbylfnqopiand4