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一种解决共享触发类业务冲突的新方法

魏薇 杨放春

魏薇, 杨放春. 一种解决共享触发类业务冲突的新方法[J]. 电子与信息学报, 2007, 29(11): 2549-2554. doi: 10.3724/SP.J.1146.2006.00393
引用本文: 魏薇, 杨放春. 一种解决共享触发类业务冲突的新方法[J]. 电子与信息学报, 2007, 29(11): 2549-2554. doi: 10.3724/SP.J.1146.2006.00393
Wei Wei, Yang Fang-chun. A Novel Method of Resolving the Shared Trigger Feature Interaction[J]. Journal of Electronics & Information Technology, 2007, 29(11): 2549-2554. doi: 10.3724/SP.J.1146.2006.00393
Citation: Wei Wei, Yang Fang-chun. A Novel Method of Resolving the Shared Trigger Feature Interaction[J]. Journal of Electronics & Information Technology, 2007, 29(11): 2549-2554. doi: 10.3724/SP.J.1146.2006.00393

一种解决共享触发类业务冲突的新方法

doi: 10.3724/SP.J.1146.2006.00393
基金项目: 

国家973计划课题(2003CB314806),长江学者和创新团队发展计划基金资助课题

A Novel Method of Resolving the Shared Trigger Feature Interaction

  • 摘要: 不同于以往从同时触发的业务中选择一个业务解决共享触发类业务冲突的方法,该方法将共享触发的业务分为相容性业务和互斥性业务,相容性业务可以根据用户意愿和系统策略顺序触发执行,互斥性业务的优先级确定借鉴免疫网络理论中免疫细胞相互作用的机制,不仅根据共享触发的业务本身,而且结合能够提供用户信息的业务,推测用户对业务的执行意愿,根据策略一致性动态地选择最佳的业务执行。实例证明该方法能够有效解决共享触发类业务冲突,更好地满足用户需求。
  • Keck D O and Kuehn P J. The feature and service interaction problem in telecommunications systems: a survey[J].IEEE Trans. on Software Engineering.1998, 24(10):779-796[2]Calder M, Kolberg M, and Magill E H, et al.. Feature interaction: a critical review and considered forecast[J].Computer Networks.2003, 41(1):115-141[3]Marples D and Magill E H. The use of rollback to prevent incorrect operation of features in intelligent network based systems. Feature Interactions in Telecommunications and Software Systems V, Amsterdam, IOS Press, 1998, 115-134.[4]熊文剑,杨放春. 基于免疫原理的业务冲突管理系统框架. 北京邮电大学学报(自然版), 2005, 28(6): 106-109.[5]Tsang S and Magill E H. Behaviour based run-time feature interaction detection and resolution approaches for intelligent networks. Feature Interactions in Telecommunications Sys-tems IV, Montreal, IOS Press, 1997, 254-270.[6]徐九韵,李凯,杨放春. 基于策略的业务冲突动态解决方法的研究与实现. 2003年全国计算机大会, 北京, 2003, 634-638.[7]Reiff-Marganiec S. Runtime resolution of feature interactions in evolving telecommunications systems. [Ph.D. Dessertation], niversity of Glasgow, Glasgow, 2002.[8]Calder M, Kolberg M, and Magill E H, et al.. Hybrid solutions to the feature interaction problem. Proc. 7th. eature Interactions in Telecommunications and Software ystems, Amsterdam, IOS Press, 2003, 295-312.[9]ITU-T Q. 1214-1993, General recommendations on telephone switching and signaling (Intelligent Network). Distributed Functional Plane for Intelligent Network (CS-1).[10]3GPP TS 29. 198-2004 Open service access application programming interface.[11]Jerne N K. The immune system. Scientific American, 1973, 229(1): 51-60.[12]Jerne N K. Towards a Network Theory of the Immune System. Annual Immunology, 1974, 125C: 373-389.[13]肖人彬,王磊. 人工免疫系统: 原理, 模型, 分析及展望. 计算机学报, 2002, 25(12): 1281-1293.[14]焦李成,杜海峰. 人工免疫系统进展与展望. 电子学报, 2003, 31(10): 1540-1549.[15]3GPP TS 23.078-2005, Customized applications for mobile network enhanced logic (CAMEL); Stage 2.[16]Lewis L. Implementing policy in enterprise networks. IEEE Communications Magazine, 1996, 34(1): 50-55.[17]Flegkas P, Trimintzios P, and Pavlou G. A policy-based quality of service management system for IP DiffServ networks[J].IEEE Network.2002, 16(2):50-56[18]Lupu E C and Sloman M. Conflicts in policy-based distributed systems management[J].IEEE Trans. on Software Engineering.1999, 25(6):852-869[19]Reiff-Marganiec S and Turner K J. Feature interaction in policies[J].Computer Networks.2004, 45(5):569-584
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出版历程
  • 收稿日期:  2006-03-31
  • 修回日期:  2006-06-26
  • 刊出日期:  2007-11-19

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