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Dynamic quota-based admission control with sub-rating in multimedia servers
Authors:Sheng-Tzong Cheng  Chi-Ming Chen  Ing-Ray Chen
Affiliation:(1) Department of Computer Science and Information Engineering, National Cheng Kung University, Tainan, Taiwan, R.O.C.; e-mail: stcheng@mail.ncku.edu.tw, TW;(2) Department of Computer Science, Virginia Polytechnic Institute and State University, Northern Virginia Graduate Center, 7054 Haycock Road, Falls Church, VA 22043, USA, US
Abstract:An admission control algorithm for a multimedia server is responsible for determining if a new request can be accepted without violating the Quality of Service (QoS) requirements of the existing requests in the system. A novel quota-based admission control algorithm with sub-rating for two priority classes of requests is proposed in this study. The server capacity is divided into three partitions based on the quota values: one for each class of requests and one common pool shared by two classes of requests. Reward and penalty are adopted in the proposed system model. High-priority requests are associated with higher values of reward as well as penalty than low-priority ones. Given the characteristics of the system workload, the proposed algorithm finds the best partitions, optimizing the system performance based on the objective function of the total reward minus the total penalty. The sub-rating mechanism will reduce the QoS requirements of several low- priority clients, by cutting out a small fraction of the assigned server capacity, to accept a new high- priority client and to achieve a higher net earning value. A stochastic Petri-Net model is used to find the optimal quota values and two approximation approaches are developed to find sub-optimal settings. The experiment results show that the proposed algorithm performs better than one without sub-rating mechanism, and that the sub-optimal solutions found by the proposed approximation approaches are very close to optimal ones. The approximation approaches enable the algorithm to dynamically adjust the quota values, based on the characteristics of the system workload, to achieve higher system performance.
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