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Analysis of Algorithms for Overlapping Resource Access Members in Cloud Computing

並列摘要


In Cloud computing environment, resources include virtual machine, CPU and Storage. These resources are accessed by tenants. Group key may be used to access the resources securely. Group key is constructed using tree by considering tenants in a group. In existing scenario, different key trees are formed even if tenants are common among multiple groups to access the resources. This paper addresses the issues of overlapping tenants that accesses resources. If there are overlapping members in multiple groups, combined key trees may be formed. Through the analysis, it is observed that computational overhead is decreased by 24% if we combine the key trees than the separate key trees. It is also observed that key establishment time for combined key trees is less compared to separate key trees.

被引用紀錄


Lin, J. C. (2015). MapReduce 工作執行效能、可靠性、能源耗費與容錯之研究 [doctoral dissertation, National Chiao Tung University]. Airiti Library. https://doi.org/10.6842/NCTU.2015.00173

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