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Dynamic File Grouping for Load Balancing in Streaming Media Clustered Server Systems
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  • Dynamic File Grouping for Load Balancing in Streaming Media Clustered Server Systems
  • Dynamic File Grouping for Load Balancing in Streaming Media Clustered Server Systems
저자명
Jiang. Qi,Xi. Hong-Sheng,Yin. Bao-Qun
간행물명
International Journal of Control, Automation and Systems
권/호정보
2009년|7권 4호|pp.630-637 (8 pages)
발행정보
제어로봇시스템학회
파일정보
정기간행물|ENG|
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기타
이 논문은 한국과학기술정보연구원과 논문 연계를 통해 무료로 제공되는 원문입니다.
서지반출

기타언어초록

A dynamic file grouping strategy is presented to address the load balancing problem in streaming media clustered server systems. This strategy increases the server cluster availability by balancing the workloads among the servers within a cluster. Additionally, it improves the access hit ratio of cached files in delivery servers to alleviate the limitation of I/O bandwidth of storage node. First, the load balancing problem is formulated as a two layers semi-Markov switching state-space control process. This analytic model captures the behaviors of streaming media clustered server systems accurately, and is with constructional flexibility and scalability. Then, a policy iteration based reinforcement learning algorithm is proposed to optimize the file grouping policy online. By utilizing the features of the event-driven policy, the proposed optimization algorithm is adaptive and with less computational cost. Simulation results demonstrate the effectiveness of the proposed approach.