会议专题

Admission Control Scheme for Distributed Service Systems Based on Model and Prediction

In this paper, we propose an admission control method based on model and prediction for distributed service systems. First, we use partly observable Markov decision process (POMDP) to model the service system. Next, we put the service allocation policy into the model parameters and use randomized policy as admission control policies to optimize system performance. The target of optimization is to maximize the system benefits. Based on the POMDP model, we propose an observation-based policy gradient algorithm to solve the optimal policy. We use HMM-based method to detect and predict change of the system, then updating the system model and admission policy with dynamic adaptive method. Experiment result shows compare with the best effort service policy our optimal policy has a better system performance.

Distributed Service Systems POMDP Admission Control Randomized Policy HMM-based method

Xiaonong LU Baoqun YIN Haipeng ZHANG Qiang LING

Department of Automation, University of Science and Technology of China, Hefei, 230027, PRC Department of Automation, University of Science and Technology of China, Hefei, 230027, PRC National

国际会议

The 31st Chinese Control Conference(第三十一届中国控制会议)

合肥

英文

5518-5523

2012-07-01(万方平台首次上网日期,不代表论文的发表时间)