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网络计算环境下QoS偏好的处理策略及其应用 被引量:7

Treatment strategy and its application for QoS preference in network computing environment
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摘要 为保障用户按需服务的需求,较深入研究了用户QoS需求偏好信息的处理策略。基于多属性决策理论,首先提出了QoS偏好信息的三种描述方式:序关系向量、AHP矩阵和语言评价集合,并给出了相应的转化和计算方法。随后,把QoS偏好的处理策略应用于服务选择,提出一个相对最优服务的确定方法,该方法可以反映用户的QoS偏好,满足用户按需服务的需求。具体实例表明所提出的QoS偏好信息的处理策略是切实可行的。 To ensure users' requirements for service on demand, the paper went deep into the treatment strategy of Quality of Service (QoS) preference information. Three ways were first put forward to describe QoS preference information based on the theory of multiple-attribute decision, which were orders vector, AHP matrix and language valuation collection, and the concrete methods of conversion and computation were given out. Afterward, the treatment strategy of QoS preference was applied to service selection, and a decision method of the optimal service was presented, which could reflect users' QoS preference and meet users' requirements for service on demand. The specific example with analysis indicates that the treatment strategy of QoS preference in the paper is feasible.
作者 梁泉 王元卓
出处 《计算机应用》 CSCD 北大核心 2009年第6期1502-1505,共4页 journal of Computer Applications
基金 国家自然科学基金资助项目(60803123) 校科研发展预研基金资助项目(GY-Z0878)
关键词 网格环境 服务质量 QoS偏好信息 grid environment Quality of Service (QoS) QoS preference information
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  • 1梁泉,杨扬,刘丽.一个具有服务质量保障的面向服务的网格模型[J].信息与控制,2007,36(4):401-409. 被引量:5
  • 2DAI Y S, XIE M, POH K L. Reliability of grid service systems [J]. Computers & Industrial Engineering, 2006, 50( 1/2): 130 - 147.
  • 3JOUTSENSALOA J, LUOSTARINENB K, SILTANENC J, et al. Adaptive scheduling method for maximizing revenue in flat pricing scenario [ J]. International Journal of Electronics and Communications, 2006, 60(2) : 159 - 167.
  • 4JOUTSENSALO J, VIINIKAINEN A, WIKSTROM M, et al. Pricing based adaptive scheduling method for bandwidth allocation [ J]. International Journal of Electronics and Communications, 2007, 61 (2) : 118 - 126.
  • 5LIU Y, NGU A H H, ZENG L. QoS Computation and policing in dynamic Web service selection [ C] // Proceedings of the 13th international World Wide Web conference on Alternate track papers & posters. New York, NY: ACM Press, 2004:66-73.
  • 6AMIN K, von LASZEWSKI G, HATEGAN M, et al. An abstraction model for a Grid execution framework [ J]. Journal of System Architecture, 2006, 52(2) : 73 - 87.
  • 7ZENG L Z , BENATALLAH B . QoS - aware middleware for Web service composition [ J]. IEEE Transactions of Software Engineering, 2004, 30(5) : 311 - 327.
  • 8陈彦萍,李增智,唐亚哲,郭志胜.一种满足马尔可夫性质的不完全信息下的Web服务组合方法[J].计算机学报,2006,29(7):1076-1083. 被引量:19
  • 9LEE H, CHUNG K, CHIN S, et al. A resource management and fault tolerance services in grid computing [ J]. Journal of Parallel and Distributed Computing, 2005, 65(11) : 1305 - 1317.
  • 10WANG H C, LEE C S, HOT H. Combining subjective and objective QoS factors for personalized Web service selection [ J]. Expert Systems with Applications, 2007, 32(2):571 -584.

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