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分布式环境下电子商务平台性能模型研究 被引量:3

Research on E-Commerce performance model in distribute environment
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摘要 分析了电子商务平台性能模型的主要类型,并结合系统整体性能规划和软件竞争问题,提出基于队列理论的单队列性能模型和封闭队列网络性能模型建模方法,在此基础上设计一个性能模型测试系统,论证了队列网络模型在性能规划中的可行性.测试表明:建立的模型操作方便,不依赖于特定过程,实用性强,为分布式环境下电子商务平台的性能分析和规划提供了一种有效的分析方法和仿真工具. The main types of ecommerce performance models are discussed. Then associating with the analysis of the whole system performance and the software content,a singlequeue performance model and a closed queuing network performance model based on the queuing theory were built. From these two models, a simulation system was designed to prove the feasibility of the queuing network model. For being independent of a particular process and being easy to operate, the models in this paper are appropriate methods for analyzing and planing ecommerce performance in distribute environment.
出处 《浙江大学学报(工学版)》 EI CAS CSCD 北大核心 2002年第6期624-629,共6页 Journal of Zhejiang University:Engineering Science
关键词 分布式环境 性能模型 电子商务 队列网络模型 Little定理 软件竞争 单队列性能模型 INTERNET e-commerce performance queue queuing network little's law software contention
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  • 1Colajanni M,Proc the 18th IEEE Int Conference on Distributed Computing Systems(ICDCS'98),1998年,295页
  • 2Cunha C A,Technical Report BUCS 95010,1995年
  • 3Chuang Lin,IEEE Transactions Computers,1988年,37卷,7期,815页
  • 4林闯.Web服务器集群请求分配和选择的性能分析[J].计算机学报,2000,23(5):500-508. 被引量:41

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  • 1郑小林,陈德人.电子商务站点性能分析——多类队列网络客户行为模拟[J].浙江大学学报(工学版),2004,38(9):1117-1121. 被引量:3
  • 2沈垚,赵林度.Web Services在中小型企业电子商务上的应用[J].微计算机信息,2006,22(02X):140-142. 被引量:14
  • 3LITTLE J. A proof of the queuing formula L=λW [J]. Operations Research, 1961, 9: 383-387.
  • 4REISER M, LAVENBERG S. Mean-value analysis of closed multi-chain queuing networks [J]. Journal of the ACM, 1980, 27(2): 313-323.
  • 5ARLITT M F, WILLIAMSON C L. Web server workload characterization: The search for invariants [A]. Proceedings of the ACM Sigmetrics Conference[C]. Philadelphia: ACM, 1996: 126-137.
  • 6CROVELLA M. Generating representative web workloads for network and server performance evaluation [J]. Performance Evaluation Review, 1998, 26(1): 151-160.
  • 7ZAIANE O R, XIN M, HAN J. Discovering web access patterns and trends by applying OLAP and data mining technology on web logs[A]. Proceedings of the Advances in Digital Libraries Conference[C]. Santa Barbara: [s.n.], 1998: 19-29.
  • 8MENASCE D A, ALMEIDA V A F. Scaling for e-business technologies, models, performance, and capacity planning [M]. Upper Saddle River: Prentice Hall, 2000: 273-305.
  • 9LAZOWSKA E D, ZAHORJAN J, GRAHAM G S, et al. Quantitative system performance: Computer system analysis using queuing network models [M]. New Jersey: Prentice-Hall, 1984: 127-151.
  • 10HungQ Nguyen.Web应用测试[M].北京:电子工业出版社,2003..

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