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流媒体系统中基于请求迁移的任务调度算法 被引量:2

Request migration based task scheduling algorithm in Vo D system
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摘要 提出了基于请求迁移的任务调度策略(Request migration based task scheduling,RMTS)算法,当有新请求到达系统时,运行RMTS算法的调度器根据当前负载状态和迁移路径长度决定是否对请求进行迁移,并选择最优迁移路径。当某个媒体服务器出现故障无法提供服务时,调度器将该服务器正在服务的请求迁移到其他存储有相应内容的媒体服务器以保障点播服务不间断。采用请求成功率和服务时延度量系统的性能,仿真结果表明:RMTS算法优于传统迁移算法和REM(Random early migration)算法,服务时延和请求成功率分别提高了14%和15%。 A Request Migration based Task Scheduling algorithm (RMTS) is proposed. When a new request is received, the scheduler running RMTS calculates a probability based on the current system load and request migration path length to determine whether migration is needed. If migration is needed, the optimal migration path is selected. With one video server failure, the scheduler transfers all the requests in service to another server to ensure service uninterrupted. The request success rate and service delay are used to measure the system performance. Experiment results demonstrate that the proposed RMTS performs better than traditional request migration algorithm that, with RMTS, the request success rate and service delay are improved by 14% and 15% respectively.
出处 《吉林大学学报(工学版)》 EI CAS CSCD 北大核心 2015年第3期938-945,共8页 Journal of Jilin University:Engineering and Technology Edition
基金 '863'国家高技术研究发展计划项目(2012AA011703) 国家科技支撑计划项目(2012BAH02B01) 中科院重点部署项目(KGZD-EW-103-4 KGZD-EW-103-2)
关键词 信息处理技术 任务调度 请求迁移 服务不间断 请求成功率 服务时延 information processing task scheduling request migration service uninterruptable request success rate service delay
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  • 1Zhou Y, Fu T Z J, Chiu D M. On replication algo- rithm in P2P VoD[-J]. Association for Computing Machinery, 2013,21 (1) : 233-243.
  • 2Dhage S N, Meshram B B. Design and implementa- tion of video servers for VoD system[J]. Interna- tional Journal of Cloud Computing, 2013,2 ( 1 ) : 61- 88.
  • 3Wolf J L,Yu P S, Shachnai H. DASD Dancing: a disk load-balancing optimization scheme for on-de- mand video-on-demand computer systems [J]. Sig- metrics Performance Evaluation Review, 1995, 23 (1) :157-166.
  • 4Dhage S, Meshram B B. Disk load balancing and video ranking algorithm for efficient access in video server[C]///International Conference on Communi- cation, Information & Computing Technology, Mumbai, India, 2012:1-6.
  • 5Guo J, Taylor P, Zukerman M, et al. On the effi- cient use of video-on-demand storage facility[C]// 2003 International Conference on Multimedia and Expo, 2003:329-332.
  • 6Zhao Y, Kuo C C J. Video server scheduling using random early request migration[J]. Multimedia Sys- tems,2005,10(4) : 302-316.
  • 7Mundur P, Simon R, Sood A K. End-to-end analy- sis of distributed video-on-demand systems [J]. IEEE Transactions on Multimedia, 2004,6 ( 1 ) : 129- 141.
  • 8杨戈,廖建新,朱晓民,樊秀梅.流媒体分发系统关键技术综述[J].电子学报,2009,37(1):137-145. 被引量:39
  • 9Barnett S A, Anido G J. A cost comparison of dis- tributed and centralized approaches to video-on-de- mand[-J]. IEEE Journal on Selected Areas in Com- munications, 1996,14(6) : 1173-1183.
  • 10KaoYC, LeeCN, WuPJ, etal. A network cod- ing equivalent content distribution scheme for effi- cient peer-to-peer interactive VoD streaming [-J]. IEEE Transactions on Parallel and Distributed Sys- tems,2012,23(6) :985-994.

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