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- W2967457111 abstract "In this paper, we consider the cost minimization problem for scheduling stochastic service requests to heterogenous servers in cloud computing. Service requests are impatient with different maximizing waiting time. Using queuing theory, a queuing system model is constructed. An algorithm framework is proposed to minimize the cost. The actual expected waiting time of service requests is analyzed. The rejection probability of the system is obtained. Comparing the rejection probability of the system to a given system availability, suitable servers are selected to minimize the cost. Based on the proposed framework, algorithms with different components are compared. Experimental results show that the algorithm with the mixed server selection strategy outperforms the others on efficiency." @default.
- W2967457111 created "2019-08-22" @default.
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- W2967457111 date "2019-05-01" @default.
- W2967457111 modified "2023-09-26" @default.
- W2967457111 title "Cost Minimization for Service Providers with Impatient Consumers in Cloud Computing" @default.
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- W2967457111 doi "https://doi.org/10.1109/cscwd.2019.8791912" @default.
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