Prioritizing Service Requests on Cloud with Multi-tenancy
Cloud computing often uses a multi-tenant architecture where tenants share application and system software. Request prioritization presents a challenge in this architecture. Tenant may have individual (local) prioritization requirements, and these requirements can be different for different tenants. The shared application must use a global priority scheme for requests from all the tenants. This paper proposes an effective model to prioritize service requests from multiple tenants while preserving local priorities from individual tenant requests. This paper proposes the Crystalline Mapping (CM) algorithm which maps local priorities from individual tenants to global priorities. The algorithm also maximizes revenues within the local-toglobal priority mapping constraints. The performance of the model is evaluated by the total business value, the QoS measurement, and a fairness measure. The model has been evaluated using simulation based on real-world data, and the results are consistent with the mathematical model.
Cloud Computing Multi-tenancy Prioritization
Wei-Tek Tsai Qihong Shao Jay Elston
School of Computing, Informatics, and Decision Systems Engineering Arizona State University Departme School of Computing, Informatics, and Decision Systems Engineering Arizona State University
国际会议
2010 IEEE International Conference on e-Business Engineering(2010年电子商务工程国际研讨会 ICEBE 2010)
上海
英文
117-124
2010-11-10（万方平台首次上网日期，不代表论文的发表时间）