Web服务冲突动态检测和解决方法的研究
|
摘要
特征交互问题是Bellcore在电信领域提出的一个问题，它已成为新型电信业务开发的重要障碍之一。然而，这一现象并非局限于电信领域，在电信领域之外的一些软件系统中也发现了类似的问题。在Web服务领域，由于单个服务无法满足日益增长的用户需求，服务组合技术应运而生，通过集成多个服务的方式解决此问题。但它同时也带来类似于电信领域特征交互的问题，即Web服务冲突问题。虽然此问题在2000年即被提出，但其并未得到足够的重视。目前相关研究工作相对缺乏，且存在一些不足。例如：检测方法的应用范围狭窄，无法应用于动态场景等。
根据此问题的研究趋势，本论文以Web服务冲突的在线检测和解决为主要研究点，在借鉴免疫系统的优良特性和相关免疫原理的基础上，对如何全面统一地动态管理Web服务冲突现象进行了深入的研究。
论文中对研究过程中取得的主要成果进行了详细阐述。相关成果可归纳如下：
1．提出一种基于免疫原理的Web服务冲突动态检测系统WSFIDS
本论文针对Web服务冲突领域研究中存在的问题，借鉴免疫系统的相关思想，提出了一种Web服务冲突检测系统WSFIDS。该系统采用多层防御的机制，克服了分类研究方式的局限性，能够以一种统一的方式进行Web服务冲突的动态检测。该系统通过借鉴抗原提呈、抗原识别、协同刺激和免疫记忆等多种免疫原理，学习免疫系统的优良特性，不但可以有效地检测已知服务冲突现象，对未知服务冲突现象也具有一定的检测效果。
2．提出一种Web服务冲突的形式化描述框架
Web服务冲突的形式化描述有助于研究Web服务冲突的本质特征，把握Web服务冲突检测所需信息，从而提出高效的Web服务冲突检测方法。论文中通过实例研究的方式，提出一种Web服务冲突形式化描述框架，并将其作为WSFIDS系统实现检测功能的重要基础之一。
3．提出一种基于克隆选择原理的Web服务冲突检测规则优化算法
Web服务冲突检测规则是本文提出的Web服务冲突动态检测方法实现时必不可少的部分。论文中借鉴克隆选择原理，根据检测方法的仿真实验结果，提出一种Web服务冲突检测规则优化算法，可以有效地缩短本文提出检测方法的检测时间，从而达到提高检测效率的目的。
4．提出一种Web服务冲突动态解决方法
解决是Web服务冲突检测的根本目的。论文通过对免疫系统相关机制的分析，简单地讨论了基于免疫学的Web服务冲突解决机制；并针对由于原子服务失效引发的服务冲突现象，提出一种基于事务回滚机制的Web服务冲突动态解决方法。
Feature interaction problem, firstly coined in the telecom by Bellcore, is one of the important obstacles for the development of new services. But this phenomenon is not unique to the telecom. It also occurs in some software system beyond telecom. In the Web services area, service composition technique is introduced to integrate several Web services to meet the increasing user demand that a single service can not satisfy. But it also brings the potential of the problem resembling the feature interaction in the telecommunication area. The problem is defined as Web Services Feature Interactions (WSFI) problem. Although this problem was raised in May 2000, it has not received enough attention. The related work is limited, and there exists some deficiencies. For example, the application fields of current detection methods are limited and they can not apply to the online scenarios.
According to the research trends in this area, the thesis is focused on the online detection and resolution of WSFI problem, and makes an in-depth study on how to manage the problem in a uniform and online manner by taking inspirations from the perfect characteristics of immune system and related immune principles.
The main contributions of our work are discussed in this thesis in detail, and they are summarized as follows:
1. An immune-inspired online detection system for WSFI problem (WSFIDS) is presented.
Aiming to overcome the drawbacks of current research work in the Web Services Feature Interactions area, an immune-inspired online detection system for WSFI problem (WSFIDS) is presented by drawing inspirations from the immune theory. It employs the multi-layer defense mechanism, and overcomes the limitation of classification-based approach so as to detect the WSFI phenomena in a uniform and online manner. With the application of some immune principles including antigen presentation, antigen recognition, co-stimulation, immune memory and so on, the system can effectively detect not only the known WSFI, but also the unknown ones.
2. A formal description framework for WSFI is proposed.
Formal description of WSFI phenomena conduces to the further study on the essence of WSFI problem, and helps grasp what is essential for WSFI detection leading to propose an effective detection method. A formal description framework for WSFI is proposed by case study in this thesis, and used as one of the important bases in the WSFIDS system.
3. A clone selection-based optimization algorithm for WSFI detection rules is presented.
WSFI detection rules play an indispensable role in the implementation of WSFI detection method. Inspired by the clone selection theory, a clone selection-based optimization algorithm for WSFI detection rules is presented according to the experimental results of our detection method. It can effectively decrease the detection time so as to increase the detection efficiency.
4. An online resolution method for WSFI is proposed.
The aim of WSFI detection is resolution. By analyzing the related mechanism of immune system, the immunity-based WSFI resolution mechanism is briefly discussed in this thesis. And a transaction rollback-based WSFI resolution method is proposed to resolve the specific type of WSFI resulting from the atomic service invalidity at runtime.
根据此问题的研究趋势，本论文以Web服务冲突的在线检测和解决为主要研究点，在借鉴免疫系统的优良特性和相关免疫原理的基础上，对如何全面统一地动态管理Web服务冲突现象进行了深入的研究。
论文中对研究过程中取得的主要成果进行了详细阐述。相关成果可归纳如下：
1．提出一种基于免疫原理的Web服务冲突动态检测系统WSFIDS
本论文针对Web服务冲突领域研究中存在的问题，借鉴免疫系统的相关思想，提出了一种Web服务冲突检测系统WSFIDS。该系统采用多层防御的机制，克服了分类研究方式的局限性，能够以一种统一的方式进行Web服务冲突的动态检测。该系统通过借鉴抗原提呈、抗原识别、协同刺激和免疫记忆等多种免疫原理，学习免疫系统的优良特性，不但可以有效地检测已知服务冲突现象，对未知服务冲突现象也具有一定的检测效果。
2．提出一种Web服务冲突的形式化描述框架
Web服务冲突的形式化描述有助于研究Web服务冲突的本质特征，把握Web服务冲突检测所需信息，从而提出高效的Web服务冲突检测方法。论文中通过实例研究的方式，提出一种Web服务冲突形式化描述框架，并将其作为WSFIDS系统实现检测功能的重要基础之一。
3．提出一种基于克隆选择原理的Web服务冲突检测规则优化算法
Web服务冲突检测规则是本文提出的Web服务冲突动态检测方法实现时必不可少的部分。论文中借鉴克隆选择原理，根据检测方法的仿真实验结果，提出一种Web服务冲突检测规则优化算法，可以有效地缩短本文提出检测方法的检测时间，从而达到提高检测效率的目的。
4．提出一种Web服务冲突动态解决方法
解决是Web服务冲突检测的根本目的。论文通过对免疫系统相关机制的分析，简单地讨论了基于免疫学的Web服务冲突解决机制；并针对由于原子服务失效引发的服务冲突现象，提出一种基于事务回滚机制的Web服务冲突动态解决方法。
Feature interaction problem, firstly coined in the telecom by Bellcore, is one of the important obstacles for the development of new services. But this phenomenon is not unique to the telecom. It also occurs in some software system beyond telecom. In the Web services area, service composition technique is introduced to integrate several Web services to meet the increasing user demand that a single service can not satisfy. But it also brings the potential of the problem resembling the feature interaction in the telecommunication area. The problem is defined as Web Services Feature Interactions (WSFI) problem. Although this problem was raised in May 2000, it has not received enough attention. The related work is limited, and there exists some deficiencies. For example, the application fields of current detection methods are limited and they can not apply to the online scenarios.
According to the research trends in this area, the thesis is focused on the online detection and resolution of WSFI problem, and makes an in-depth study on how to manage the problem in a uniform and online manner by taking inspirations from the perfect characteristics of immune system and related immune principles.
The main contributions of our work are discussed in this thesis in detail, and they are summarized as follows:
1. An immune-inspired online detection system for WSFI problem (WSFIDS) is presented.
Aiming to overcome the drawbacks of current research work in the Web Services Feature Interactions area, an immune-inspired online detection system for WSFI problem (WSFIDS) is presented by drawing inspirations from the immune theory. It employs the multi-layer defense mechanism, and overcomes the limitation of classification-based approach so as to detect the WSFI phenomena in a uniform and online manner. With the application of some immune principles including antigen presentation, antigen recognition, co-stimulation, immune memory and so on, the system can effectively detect not only the known WSFI, but also the unknown ones.
2. A formal description framework for WSFI is proposed.
Formal description of WSFI phenomena conduces to the further study on the essence of WSFI problem, and helps grasp what is essential for WSFI detection leading to propose an effective detection method. A formal description framework for WSFI is proposed by case study in this thesis, and used as one of the important bases in the WSFIDS system.
3. A clone selection-based optimization algorithm for WSFI detection rules is presented.
WSFI detection rules play an indispensable role in the implementation of WSFI detection method. Inspired by the clone selection theory, a clone selection-based optimization algorithm for WSFI detection rules is presented according to the experimental results of our detection method. It can effectively decrease the detection time so as to increase the detection efficiency.
4. An online resolution method for WSFI is proposed.
The aim of WSFI detection is resolution. By analyzing the related mechanism of immune system, the immunity-based WSFI resolution mechanism is briefly discussed in this thesis. And a transaction rollback-based WSFI resolution method is proposed to resolve the specific type of WSFI resulting from the atomic service invalidity at runtime.
引文
[1] Bowen T. F., Dworack F. S., Chow C. H., et. al., The Feature Interaction problem in Telecommunications Systems, In: Proceeding of Seventh International Conference on Software Engineering for Telecommunication Switching Systems, London, 1989. pp: 59-62.
[2] Calder M, Kolberg M, Magill E, et al. Feature interaction: a critical review and considered forecast, International Journal of Telecommunication and Computer Networks, 2003, 41 (1): pp 115-141.
[3] Keck D. O. and Kuehn P. J. The Feature and Service Interaction Problem in Telecommunications Systems: A Survey. IEEE Transactions on Software Engineering, October 1998. 9, 24(10): pp 779-796
[4] E. J. Cameron, N. D. Griffeth, et al., A Feature Interaction Benchmark for IN and Beyond, In: Proceedings of the Second International Workshop on Feature Interactions in Telecommunications Systems, IOS press, 1994, pp. 1-23
[5] Amyot D. and Logrippo L, Guest editorial: Directions in feature interaction research, Computer Networks, Special issue on Feature Interactions in Emerging Application Domains, Vol. 45, No. 5, 5 August 2004, pp 563-567
[6] H. Velthuijsen, N. Griffeth, Y. J. Lin, (editors) Feature Interactions in Telecommunications Software Systems Ⅰ, Florida, 1992.
[7] L. G. Bouma, H. Velthuijsen,(editors) Feature Interactions in Telecommunications Systems Ⅱ, IOS Press, Amsterdam, May 1994.
[8] K. E. Cheng, T. Ohta, (editors) Feature Interactions in Telecommunications Systems Ⅲ, IOS Press, Kyoto, Japan, October 1995.
[9] P. Dini, R. Boutaba, (editors) Feature Interactions in Telecommunications Systems Ⅳ, IOS Press, Montreal, 1997.
[10] K. Kimbler, L. G. Bouma, (editors) Feature Interactions in Telecommunications and Software Systems V, IOS Press, Amsterdam, September 1998.
[11] M. Calder, E. Magill, (editors) Feature Interactions in Telecommunications and Software Systems VI, IOS Press, Amsterdam, May 2000.
[12] D. Amyot, L. Logrippo, (editors) Feature Interactions in Telecommunications and Software Systems Ⅶ, IOS Press, Amsterdam, June 2003.
[13] Stephan Reiff-Marganiec, Mark Ryan, (editors) Feature Interactions in Telecommunications and Software Systems Ⅷ, IOS Press, Leicester, UK., June 2005
[1] 龚双谨，智能网技术，人民邮电出版社，1999年11月．
[2] Bowen T. F., Dworack F. S., Chow C. H., et. al., The Feature Interaction problem in Telecommunications Systems, In: Proceeding of Seventh International Conference on Software Engineering for Telecommunication Switching Systems, London, 1989. pp: 59-62.
[3] Keck D. O. and Kuehn P. J. The Feature and Service Interaction Problem in Telecommunications Systems: A Survey. IEEE Transactions on Software Engineering, October 1998. 9, 24(10): pp 779—796
[4] Calder M, Kolberg M, Magill E, et al. Feature interaction: a critical review and considered forecast, International Journal of Telecommunication and Computer Networks, 2003, 41(1): pp 115-141.
[5] Amyot D. and Logrippo L, Guest editorial: Directions in feature interaction research, Computer Networks, Special issue on Feature Interactions in Emerging Application Domains, Vol. 45, No. 5, 5 August 2004, pp 563-567
[6] 梅宏、黄罡、邢岩等，特征交互问题导论，电子学报，30(12A)，2002年12月，第1923页-第1927页
[7] E. J. Cameron, N. Griffeth, Y.-J. Lin, et.al, A Feature-Interaction Benchmark for IN and Beyond, IEEE Communications Magazine, 31(3), March 1993, pp. 64-69
[8] E. J. Cameron et al., A Feature Interaction Benchmark for IN and Beyond, In: Proceeding of International Workshop on Feature Interactions in Telecommunications Systems, IOS press, 1994, pp. 1-23
[9] T. Ohta, Y. Harada. Classification, Detection and Resolutions of Service Interactions in Telecommunication Services, L. G. Bouma, H. Velthuijsen.(editors), In: Proceeding of International Workshop on Feature Interactions in Telecommunications Systems, Amsterdam, May 1994, pp. 60-72.
[10] D. Marples, E. H. Magill, The Use of Rollback to Prevent Incorrect Operation of Features in Intelligent Network based Systems, In: International Workshop on Feature Interactions in Telecommunications Systems, IOS press, September 1998, pp. 115-134.
[11] S. Reiff-Marganiec. Runtime Resolution of Feature Interactions in Evolving Telecommunications Systems [Ph. D. Dissertation], University of Glasgow, Glasgow, UK, 2002．
[12] 徐九韵，下一代网络业务冲突动态检测和动态解决方法的研究[博士学位论文]，北京，北京邮电大学，2004年．
[13] M. Calder, M. Kolberg, E. H. Magill, et.al, Hybrid Solutions to the Feature Interaction Problem, In: Proceeding of International Workshop on Feature Interactions in Telecommunications Systems, IOS press, June 2003, pp. 295-312.
[14] S. Homayoon, H. Singh, Methods of Addressing the Interactions of Intelligent Network Services with Embedded Switch Services, IEEE Communications, 26(12), December 1998, pp. 42-70.
[15] M. Cain, Managing Run-Time Interactions between Call Processing Features, IEEE Communication Magazine, Feb 1992, pp. 44-50.
[16] N. Fritsche, Runtime Resolution of Feature Interactions in Architecture with Seperated Call and Feature Control, In: Proceeding of International Workshop on Feature Interactions in Telecommunications Systems, IOS press, 1995, pp. 43-63.
[17] I. Aggoun, P. Combes, Observers in the SCE and SEE to Detect and Resolve Feature Interactions, In: Proceeding of International Workshop on Feature Interactions in Telecommunications Systems, IOS press, 1997, pp198-212.
[18] S. Tsang, E. H. Magill, Learning to Detect and Avoid Run-Time Feature Interactions in the Intelligent Network, IEEE Transactions on Software Engineering, 24(10), October 1998, pp. 818-830.
[19] Z. Chentouf, S. Cherkaoui. A. Khoumsi, Implementing Online Feature Interaction Detection in SIP Environment: Early Results. In: 10th IEEE International Conference on Telecommunications (ICT'2003), February 2003.
[20] Z. Chentouf, S. Cherkaoui. A. Khoumsi, Mapping SIP onto a Feature Interaction Management Language. In: 7th International Conference on Telecommunications (ConTel'2003), June 2003, 173-180.
[21] A. D. Marco, F. Khendek. eSERL: Feature Interaction Management in Parlay/OSA using Composition Constraints and Configuration Rules. In: Proceeding of International Workshop on Feature Interactions in Telecommunications and Software Systems, IOS Press, Amsterdam, 2003.
[22] 熊文剑．一种基于免疫学原理的下一代网络业务冲突在线检测方法[博士学位论文]．北京，北京邮电大学，2005．
[23] 魏薇．基于免疫原理在线检测和解决下一代网络业务冲突方法的研究[博士学位论文]．北京，北京邮电大学，2006．
[24] N. D. Griffeth, H. Velthuijsen, The Negotiating Agents Approach to Runtime Interaction Resolution, In: Proceeding of International Workshop on Feature Interactions in Telecommunications Systems, IOS press, 1994, pp. 217-235.
[25] M. Amer, A. Karmouch, T. Gray, et.al, Feature-Interaction Resolution Using Fuzzy Policies, In: Proceeding of International Workshop on Feature Interactions in Telecommunications Systems, IOS press, May 2000, pp. 94-132.
[26] M. Amer, A. Karmouch, T. Gray, et.al, An Agent Model for the Resolution of Feature Conflicts in Telephony, Journal of Network and Systems Management, 8(3), 2000, pp. 419-437.
[27] R. Hall. Feature interactions in electronic mail. In: Proceeding of International Workshop on Feature Interactions in Telecommunications Systems, IOS press, May 2000, pp. 67-82.
[28] E. Pulverm uller, A. Speck, JO Coplien, M. D'Hondt, and W. DeMeuter. Feature Interaction in Composed Systems, In: Proceeding of FICS 2001, June 18-22, 2001, Pages: 1-6
[29] Teng TENG, Gang HUANG, Ruichao LI, Dong ZHAO, Hong MEI, Feature Interactions Induced by Data Dependencies among Entity Components, In: Proceeding of the 8th International Conference on Feature Interactions in Telecommunications and Software Systems (ICFI05), 28th June to 30th June, 2005, Leicester, UK, pp. 252-269.
[30] Xuanzhe LIU, Gang HUANG, Wei ZHANG, Hong MEI, Feature Interaction Problems in Middleware Services, In: Proceeding of the 8th International Conference on Feature Interactions in Telecommunications and Software Systems (ICFI05), 28th June to 30th June, 2005, Leicester, UK, pp. 313-319.
[31] M. Kolberg, E.H. Magill, D. Marples, and S. Tsang, Feature Interactions in Services for Internet Personal Appliances, In Proceedings of IEEE International Conference on Communications (ICC-2002), Vol 4, pp 2613-2618, New York, April, 2002.
[32] 王栋，梅宏，下一代通信软件中的特征冲突检测，软件学报，2006，16(7)：1232-1241
[33] D. Booth et al., eds., Web Services Architecture, W3C Working Group note, Feb. 2004, http://www.w3.org/TR/ws-arch/
[34] XML Specification, W3C Recommendation, http://www.w3.org/TR/REC-xml
[35] Simple Object Access Protocol (SOAP) 1.1, W3C Note, http://www.w3.org/TR/SOAP/
[36] Web Services Definition Language (WSDL) 1.1, W3C Note, http://www.w3c.org/TR/wsdl.html
[37] Universal Description, Discovery and Integration, Industry Initiative, http://www.oasis-open.org/committees/uddi-spec/doc/tcspecs.htm
[38] Jinghai Rao and Xiaomeng Su, A Survey of Automated Web Service Composition Methods, In: Proceedings of the First International Workshop on Semantic Web Services and Web Process Composition (SWSWPC 2004), USA
[39] Schahram Dustdar, Wolfgang Schreiner, A survey on web services composition, International Journal of Web and Grid Services, 2005, 1(1): 1-30
[40] Biplav Srivastava and Jana Koehler. Web service composition: Current solutions and open problems. In: Proceeding of ICAPS 2003 Workshop on Planning for Web Services, pages 28-35, 2003.
[41] T. Andrews et al., editors. Business Process Execution Language for Web Services, Version 1.1. BEA, IBM, Microsoft, SAP, Siebel, May 2003
[42] A. Arkin et al., editors. Web services business process execution language, Version 2.0.OASIS, Billerica, Massachusetts, Feb. 2005
[43] Michael Weiss, Babak Esfandiari, and Yun Luo, Towards a Classification of Web Service Feature Interactions, In: Proceedings of the Third International Conference on Service Oriented Computing (ICSOC05), Amsterdam, Netherlands, 2005
[44] Weiss, M., and Esfandiari, B., On Feature Interactions among Web Services, International Journal of Web Services Research, 2(4), 21-45, October-December, 2005
[45] Kenneth J. Turner. Formalising Web Services. In: Proceeding of Formal Techniques for Networked and Distributed Systems (FORTE ⅩⅧ), LNCS 3731, October 2005: 473-488
[46] Jianyin Zhang, Sen Su, Fangchun Yang, Detecting Race Conditions in Web Services, In: Proceedings of the International Conference on Internet and Web Applications and Services (ICIW'06), French, February 2006
[47] Michael Weiss, Alexander Oreshkin and Babak Esfandiari, Invocation Order Matters: Functional Feature Interactions of Web Services, In: Proceeding of ICSOC Workshop on Engineering Service Compositions, WESC'05, IBM Research Report RC23821, Amsterdam, Netherlands, December 2005: 69-76
[48] E. Wohlstadter, S. Tai, T. Mikalsen, I. Rouvellou, and P. Devanbu, GlueQoS: Middleware to Sweeten Quality of Service Policy Interactions, In: Proceedings of the 26th International Conference on Software Engineering (ICSE'04), Edinburgh, Scotland, UK, 2004, pp. 189-199.
[49] Fernando Miguel Carvalho, Rui Gustavo Crespo, An Experimental Distributed Resolution of WWW Interactions, In: Proceedings of IADIS International Conference on WWW/Intemet 2005, 2005: 283-290
[1] Dasgupta D, Attoh-Okine N, Immunity-Based Systems: A Survey, In: Proceedings of the IEEE International Conference on Systems, Man and Cybernetics, Orlando, USA, 1997, 1: 369-374
[2] S. Forrest, S. Hofmeyr, and A. Somayaji., Computer Immunology, Communications of the ACM, 1997, 40(10): 88-96
[3] de Castro L. N., Von Zuben F. J., Artificial Immune Systems: Part Ⅰ-Basic Theory and Applications, Technical Report-RT DCA, Brazil, 1999. 1
[4] de Castro L. N., Von Zuben F. J., Artificial Immune Systems: Part Ⅱ-A Survey of Applications, Technical Report-RT DCA, Brazil, 2000. 2
[5] 焦李成，杜海峰，人工免疫系统进展与展望，电子学报，31(10)，2003，1540-1548．
[6] 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，25(12)，2002，1281-1293．
[7] 李涛，计算机免疫学，电子工业出版社，2004年7月．
[8] Harmer, P. K., Williams, P. D., Gunsch, G. H., Lamont, G. B., An artificial immune system architecture for computer security applications, In: IEEE Transactions on Evolutionary Computation, June 2002, 6(3): 252-280
[9] Dasgupta, D., Gonzalez, F., An immunity-based technique to characterize intrusions in computer networks, In: IEEE Transactions on Evolutionary Computation, June 2002, 6(3): 281-291
[10] Forrest, S., Perelson, A. S., Allen, L., Cherukuri, R., Self-nonself discrimination in a computer, In: Proceedings of IEEE Computer Society Symposium on Research in Security and Privacy, 1994: 202-212
[11] D Dasgupta, S Forrest, Artificial immune systems in industrial applications, In:. Proceedings of the Second International Conference on Intelligent Processing and Manufacturing of Materials (IPMM'99), 1999, 1: 257-267.
[12] Branco, P. J. C., Dente, J. A., Mendes, R. V., Using immunology principles for fault detection, In: IEEE Transactions on Industrial Electronics, April 2003, 50(2): 362-373
[13] Bradley, D. W., Tyrrell, A. M., Immunotronics-novel finite-state-machine architectures with built-in self-test using self-nonself differentiation, IEEE Transactions on Evolutionary Computation, June 2002, 6(3): 227-238
[14] 熊文剑．一种基于免疫学原理的下一代网络业务冲突在线检测方法[博士学位论文]．北京，北京邮电大学，2005．
[15] 魏薇．基于免疫原理在线检测和解决下一代网络业务冲突方法的研究[博士学位论文]．北京，北京邮电大学，2006．
[16] S. A. Hofmeyr, An Interpretative Introduction to the Immune System, In Design Principles for the Immune System and other Distributed Autonomous Systems, I. Cohen and L. Segel(eds.), Oxford University Press, 2000.
[1] James F. Allen and George Ferguson, Actions and events in interval temporal logic, Journal of Logic Computation, 1994, 4(5): 531-579
[2] James F. Allen, Maintaining knowledge about temporal intervals. Communications of the ACM, 1983, 26(11): 832-834
[3] Jianyin Zhang, Sen Su, Fangchun Yang, Detecting Race Conditions in Web Services, In: Proceedings of the International Conference on Internet and Web Applications and Services (ICIW'06), Guadeloupe, French, February 2006
[4] Fo rrest S, Hofmeyr S A, Immunology as information processing. In: Segel and Cohen eds. Design Principles for the Immune System and Other Distributed Autonomous Systems, USA: Oxford University Press, 2000
[5] S. Hofmeyr, S. Forrest, Architecture for Artificial Immune System, Evolutionary Computation, Vol. 7, 2000, pp. 45-68
[6] J. K Percus, O. Percus, and A. S. Person. Probability of Self Non-self discrimination. In A. S. Perelson and G. Weisbuch, (eds.), Theoretical and Experimental Insights into Immunology, pp 63-70. Springer-Verlag, 1992
[7] J. K Percus, O. Percus and A. S. Person. Predicting the size of the antibody-combining region from consideration of efficient self/non-self discrimination, In: Proceedings of the National Academy of Science, 60: pp. 1691-1695, 1993
[8] J. D. Farmer, N. H. Packard, and A. S. Perelson, The immune system, adaptation, and machine learning, Physica D, vol. 22, pp. 187-204, 1986
[9] Franciszek Seredynski, Pascal Bouvry, Some Issues in Solving the Anomaly Detection Problem using Immunological Approach, Proceedings of the 19th IEEE International Parallel and Distributed Processing Symposium (IPDPS'05), 2005
[10] J. F. Martins, P. J. Costa Branco, A. J. Pires and J. A. Dente, Fault Detection using Immune-Based Systems and Formal Language Algorithms, Proceedings of the 39& IEEE Conference on Decision and Control, Sydney, Australia December, 2000
[11] Forrest, S., Perelson, A. S., Allen, L., Cherukuri, R., Self-nonself discrimination in a computer, In: Proceedings of IEEE Computer Society Symposium on Research in Security and Privacy, 1994: 202-212
[12] Burnet F M. The Clonal Selection Theory of Acquired Immunity. Gambridge: Gambridge University Press, 1959
[13] F. M. Burnet. Clonal Selection and After. In: G. I. Bell, A. S. Perelson, G. H. Pimbley (editors)Theoretical Immunology, New York, M arcelDekker Inc., 1978, 63-85.
[14] 李涛，计算机免疫学，北京：电子工业出版社，2004年
[1] Keck D. O. and Kuehn P. J. The Feature and Service Interaction Problem in Telecommunications Systems: A Survey. IEEE Transactions on Software Engineering, October 1998. 9, 24(10): pp 779—796
[2] 魏薇．基于免疫原理在线检测和解决下一代网络业务冲突方法的研究[博士学位论文]．北京，北京邮电大学，2006．
[3] Little M. C. and Webber J., Introducing WS-Transaction (part Ⅰ), Web Services Journal. Vol. 3, Issues 6, June 2003
[4] Little M. C. and Webber J., Introducing WS-Transaction (part Ⅱ), Web Services Journal. Vol. 3, Issues 7, June 2003
[5] Manish Verma, Parveen Deswal, Approaching Web services transactions, Feb 2003, http://www-128.ibm.com/developerworks/webservices/library/ws-tranart/
[6] A Ceponkus, et al., Business Transaction Protocol V1. 0, Jun 2002, http://www.oasis-open.org/committees/download.php/1184/2002-06-03.BTP-cttee-spec-1.0.pdf
[7] F Cabrera, et al., Web Services Coordination (WS-Coordination), V1.0, specification, Aug 2005, flp://www6.software.ibm.com/software/developer/library/WS-Coordination.pdf
[8] F Cabrera, et al., Web Services Atomic Transaction (WS-AtomicTransaction), V 1.0, specification, Aug 2005, ftp://www6.software.ibm.com/software/developer/library/WS-AtomicTransaction.pdf
[9] F Cabrera, et al., Web Services Business Activity Framework (WS-BusinessActivity), V1.0, specification, Aug 2005, ftp://www6.soflware.ibm.com/software/developer/library/WS-BusinessActivity.pdf
[10] D. Bunting, et al., Web services composite application framework (WS-CAF), July 2003. http://www.iona.com/devcenter/standards/WS-CAF/WS-CAF.pdf
[11] Schmit, B. A. Dustdar, S, Towards transactional Web services, In: Proceedings of Seventh IEEE International Conference on E-Commerce Technology Workshops, 2005., July 2005, 12-20
[12] Seunglak Choi, Hyukjae Jang, Hangkyu Kim, Jungsook Kim, Su Myeon Kim, Junehwa Song, A Framework for Handling Dependencies among Web Services Transactions (poster), In: Proc. of the 14th International World Wide Web Conference (WWW 2005), 2005: 1130-1131
[13] Sami B, Claude G, Olivier P, Reliable Web services composition using a transactional approach, In: Proceedings of the IEEE International Conference on e-Technology, e-Commerce and e-Service, Hong Kong, IEEE, March 2005
[14] Xinming Wang, Gansen Zhao, Xin Zhang, Beihong Jin, An Agent-Based Model For Web Services Transaction Processing, In: Proceedings of 2005 IEEE International Conference on e-Technology, e-Commerce and e-Service (EEE'05), March 2005: 186-189
[15] Friedrich H. Vogt, Simon Zambrovski, Boris Gruschko, Peter Furniss, Alastair Green, Implementing Web Service Protocols in SOA: WS-Coordination and WS-BusinessActivity, In: Proceedings of the 7th IEEE International Conference on E-Commerce Technology Workshops (CEC 2005), 2005: 21-28
[16] Ruey-Shyang Wu, Shyan-Ming Yuan, Enable Transaction in Web Services Environment, In: Proceedings of International Conference on Next Generation Web Services Practices (NWeSP'05), Seoul, Korea, August 2005
[17] Tosic, V., Pagurek, B., Esfandiari, B., Patel, K., On the Management of Compositions of Web Services, position paper at the Workshop on Object-Oriented Web Services-OOWS (at OOPSLA 2001), Tampa, USA, October 15, 2001
[1] Michael Weiss, Babak Esfandiari, and Yun Luo, Towards a Classification of Web Service Feature Interactions, In: Proceedings of the Third International Conference on Service Oriented Computing (ICSOC05), Amsterdam, Netherlands, 2005
[2] E. Wohlstadter, S. Tai, T. Mikalsen, I. Rouvellou, and P. Devanbu, GlueQoS: Middleware to Sweeten Quality of Service Policy Interactions, In: Proceedings of the 26th International Conference on Software Engineering (ICSE'04), Edinburgh, Scotland, UK, 2004, pp. 189-199.
[3] 3GPP, "IP Multimedia Subsystem (IMS)", TS 23.228, V6.4.1, Jan 2004
[4] ITU-T, "Principles of Intelligent Network Architecture", Recommendation Q. 1201, Geneva, 1992
[5] Lina Ren, Fei Li, Qi Yu, Bo Yang, Rule-based on-line feature interaction detection for IMS Call Control Services, IBM Research Report, RC 24061, Sep 2006
[6] Gouya A., Crespi N. Bertin E., and Oueslati L., Managing Service Capability and Service Feature Interactions in the IMS of UMTS, In: Proceeding of IEEE International Conference on Networking and Services, ICNS'06, Silicon Valley, USA, July 16-18, 2006
[2] Calder M, Kolberg M, Magill E, et al. Feature interaction: a critical review and considered forecast, International Journal of Telecommunication and Computer Networks, 2003, 41 (1): pp 115-141.
[3] Keck D. O. and Kuehn P. J. The Feature and Service Interaction Problem in Telecommunications Systems: A Survey. IEEE Transactions on Software Engineering, October 1998. 9, 24(10): pp 779-796
[4] E. J. Cameron, N. D. Griffeth, et al., A Feature Interaction Benchmark for IN and Beyond, In: Proceedings of the Second International Workshop on Feature Interactions in Telecommunications Systems, IOS press, 1994, pp. 1-23
[5] Amyot D. and Logrippo L, Guest editorial: Directions in feature interaction research, Computer Networks, Special issue on Feature Interactions in Emerging Application Domains, Vol. 45, No. 5, 5 August 2004, pp 563-567
[6] H. Velthuijsen, N. Griffeth, Y. J. Lin, (editors) Feature Interactions in Telecommunications Software Systems Ⅰ, Florida, 1992.
[7] L. G. Bouma, H. Velthuijsen,(editors) Feature Interactions in Telecommunications Systems Ⅱ, IOS Press, Amsterdam, May 1994.
[8] K. E. Cheng, T. Ohta, (editors) Feature Interactions in Telecommunications Systems Ⅲ, IOS Press, Kyoto, Japan, October 1995.
[9] P. Dini, R. Boutaba, (editors) Feature Interactions in Telecommunications Systems Ⅳ, IOS Press, Montreal, 1997.
[10] K. Kimbler, L. G. Bouma, (editors) Feature Interactions in Telecommunications and Software Systems V, IOS Press, Amsterdam, September 1998.
[11] M. Calder, E. Magill, (editors) Feature Interactions in Telecommunications and Software Systems VI, IOS Press, Amsterdam, May 2000.
[12] D. Amyot, L. Logrippo, (editors) Feature Interactions in Telecommunications and Software Systems Ⅶ, IOS Press, Amsterdam, June 2003.
[13] Stephan Reiff-Marganiec, Mark Ryan, (editors) Feature Interactions in Telecommunications and Software Systems Ⅷ, IOS Press, Leicester, UK., June 2005
[1] 龚双谨，智能网技术，人民邮电出版社，1999年11月．
[2] Bowen T. F., Dworack F. S., Chow C. H., et. al., The Feature Interaction problem in Telecommunications Systems, In: Proceeding of Seventh International Conference on Software Engineering for Telecommunication Switching Systems, London, 1989. pp: 59-62.
[3] Keck D. O. and Kuehn P. J. The Feature and Service Interaction Problem in Telecommunications Systems: A Survey. IEEE Transactions on Software Engineering, October 1998. 9, 24(10): pp 779—796
[4] Calder M, Kolberg M, Magill E, et al. Feature interaction: a critical review and considered forecast, International Journal of Telecommunication and Computer Networks, 2003, 41(1): pp 115-141.
[5] Amyot D. and Logrippo L, Guest editorial: Directions in feature interaction research, Computer Networks, Special issue on Feature Interactions in Emerging Application Domains, Vol. 45, No. 5, 5 August 2004, pp 563-567
[6] 梅宏、黄罡、邢岩等，特征交互问题导论，电子学报，30(12A)，2002年12月，第1923页-第1927页
[7] E. J. Cameron, N. Griffeth, Y.-J. Lin, et.al, A Feature-Interaction Benchmark for IN and Beyond, IEEE Communications Magazine, 31(3), March 1993, pp. 64-69
[8] E. J. Cameron et al., A Feature Interaction Benchmark for IN and Beyond, In: Proceeding of International Workshop on Feature Interactions in Telecommunications Systems, IOS press, 1994, pp. 1-23
[9] T. Ohta, Y. Harada. Classification, Detection and Resolutions of Service Interactions in Telecommunication Services, L. G. Bouma, H. Velthuijsen.(editors), In: Proceeding of International Workshop on Feature Interactions in Telecommunications Systems, Amsterdam, May 1994, pp. 60-72.
[10] D. Marples, E. H. Magill, The Use of Rollback to Prevent Incorrect Operation of Features in Intelligent Network based Systems, In: International Workshop on Feature Interactions in Telecommunications Systems, IOS press, September 1998, pp. 115-134.
[11] S. Reiff-Marganiec. Runtime Resolution of Feature Interactions in Evolving Telecommunications Systems [Ph. D. Dissertation], University of Glasgow, Glasgow, UK, 2002．
[12] 徐九韵，下一代网络业务冲突动态检测和动态解决方法的研究[博士学位论文]，北京，北京邮电大学，2004年．
[13] M. Calder, M. Kolberg, E. H. Magill, et.al, Hybrid Solutions to the Feature Interaction Problem, In: Proceeding of International Workshop on Feature Interactions in Telecommunications Systems, IOS press, June 2003, pp. 295-312.
[14] S. Homayoon, H. Singh, Methods of Addressing the Interactions of Intelligent Network Services with Embedded Switch Services, IEEE Communications, 26(12), December 1998, pp. 42-70.
[15] M. Cain, Managing Run-Time Interactions between Call Processing Features, IEEE Communication Magazine, Feb 1992, pp. 44-50.
[16] N. Fritsche, Runtime Resolution of Feature Interactions in Architecture with Seperated Call and Feature Control, In: Proceeding of International Workshop on Feature Interactions in Telecommunications Systems, IOS press, 1995, pp. 43-63.
[17] I. Aggoun, P. Combes, Observers in the SCE and SEE to Detect and Resolve Feature Interactions, In: Proceeding of International Workshop on Feature Interactions in Telecommunications Systems, IOS press, 1997, pp198-212.
[18] S. Tsang, E. H. Magill, Learning to Detect and Avoid Run-Time Feature Interactions in the Intelligent Network, IEEE Transactions on Software Engineering, 24(10), October 1998, pp. 818-830.
[19] Z. Chentouf, S. Cherkaoui. A. Khoumsi, Implementing Online Feature Interaction Detection in SIP Environment: Early Results. In: 10th IEEE International Conference on Telecommunications (ICT'2003), February 2003.
[20] Z. Chentouf, S. Cherkaoui. A. Khoumsi, Mapping SIP onto a Feature Interaction Management Language. In: 7th International Conference on Telecommunications (ConTel'2003), June 2003, 173-180.
[21] A. D. Marco, F. Khendek. eSERL: Feature Interaction Management in Parlay/OSA using Composition Constraints and Configuration Rules. In: Proceeding of International Workshop on Feature Interactions in Telecommunications and Software Systems, IOS Press, Amsterdam, 2003.
[22] 熊文剑．一种基于免疫学原理的下一代网络业务冲突在线检测方法[博士学位论文]．北京，北京邮电大学，2005．
[23] 魏薇．基于免疫原理在线检测和解决下一代网络业务冲突方法的研究[博士学位论文]．北京，北京邮电大学，2006．
[24] N. D. Griffeth, H. Velthuijsen, The Negotiating Agents Approach to Runtime Interaction Resolution, In: Proceeding of International Workshop on Feature Interactions in Telecommunications Systems, IOS press, 1994, pp. 217-235.
[25] M. Amer, A. Karmouch, T. Gray, et.al, Feature-Interaction Resolution Using Fuzzy Policies, In: Proceeding of International Workshop on Feature Interactions in Telecommunications Systems, IOS press, May 2000, pp. 94-132.
[26] M. Amer, A. Karmouch, T. Gray, et.al, An Agent Model for the Resolution of Feature Conflicts in Telephony, Journal of Network and Systems Management, 8(3), 2000, pp. 419-437.
[27] R. Hall. Feature interactions in electronic mail. In: Proceeding of International Workshop on Feature Interactions in Telecommunications Systems, IOS press, May 2000, pp. 67-82.
[28] E. Pulverm uller, A. Speck, JO Coplien, M. D'Hondt, and W. DeMeuter. Feature Interaction in Composed Systems, In: Proceeding of FICS 2001, June 18-22, 2001, Pages: 1-6
[29] Teng TENG, Gang HUANG, Ruichao LI, Dong ZHAO, Hong MEI, Feature Interactions Induced by Data Dependencies among Entity Components, In: Proceeding of the 8th International Conference on Feature Interactions in Telecommunications and Software Systems (ICFI05), 28th June to 30th June, 2005, Leicester, UK, pp. 252-269.
[30] Xuanzhe LIU, Gang HUANG, Wei ZHANG, Hong MEI, Feature Interaction Problems in Middleware Services, In: Proceeding of the 8th International Conference on Feature Interactions in Telecommunications and Software Systems (ICFI05), 28th June to 30th June, 2005, Leicester, UK, pp. 313-319.
[31] M. Kolberg, E.H. Magill, D. Marples, and S. Tsang, Feature Interactions in Services for Internet Personal Appliances, In Proceedings of IEEE International Conference on Communications (ICC-2002), Vol 4, pp 2613-2618, New York, April, 2002.
[32] 王栋，梅宏，下一代通信软件中的特征冲突检测，软件学报，2006，16(7)：1232-1241
[33] D. Booth et al., eds., Web Services Architecture, W3C Working Group note, Feb. 2004, http://www.w3.org/TR/ws-arch/
[34] XML Specification, W3C Recommendation, http://www.w3.org/TR/REC-xml
[35] Simple Object Access Protocol (SOAP) 1.1, W3C Note, http://www.w3.org/TR/SOAP/
[36] Web Services Definition Language (WSDL) 1.1, W3C Note, http://www.w3c.org/TR/wsdl.html
[37] Universal Description, Discovery and Integration, Industry Initiative, http://www.oasis-open.org/committees/uddi-spec/doc/tcspecs.htm
[38] Jinghai Rao and Xiaomeng Su, A Survey of Automated Web Service Composition Methods, In: Proceedings of the First International Workshop on Semantic Web Services and Web Process Composition (SWSWPC 2004), USA
[39] Schahram Dustdar, Wolfgang Schreiner, A survey on web services composition, International Journal of Web and Grid Services, 2005, 1(1): 1-30
[40] Biplav Srivastava and Jana Koehler. Web service composition: Current solutions and open problems. In: Proceeding of ICAPS 2003 Workshop on Planning for Web Services, pages 28-35, 2003.
[41] T. Andrews et al., editors. Business Process Execution Language for Web Services, Version 1.1. BEA, IBM, Microsoft, SAP, Siebel, May 2003
[42] A. Arkin et al., editors. Web services business process execution language, Version 2.0.OASIS, Billerica, Massachusetts, Feb. 2005
[43] Michael Weiss, Babak Esfandiari, and Yun Luo, Towards a Classification of Web Service Feature Interactions, In: Proceedings of the Third International Conference on Service Oriented Computing (ICSOC05), Amsterdam, Netherlands, 2005
[44] Weiss, M., and Esfandiari, B., On Feature Interactions among Web Services, International Journal of Web Services Research, 2(4), 21-45, October-December, 2005
[45] Kenneth J. Turner. Formalising Web Services. In: Proceeding of Formal Techniques for Networked and Distributed Systems (FORTE ⅩⅧ), LNCS 3731, October 2005: 473-488
[46] Jianyin Zhang, Sen Su, Fangchun Yang, Detecting Race Conditions in Web Services, In: Proceedings of the International Conference on Internet and Web Applications and Services (ICIW'06), French, February 2006
[47] Michael Weiss, Alexander Oreshkin and Babak Esfandiari, Invocation Order Matters: Functional Feature Interactions of Web Services, In: Proceeding of ICSOC Workshop on Engineering Service Compositions, WESC'05, IBM Research Report RC23821, Amsterdam, Netherlands, December 2005: 69-76
[48] E. Wohlstadter, S. Tai, T. Mikalsen, I. Rouvellou, and P. Devanbu, GlueQoS: Middleware to Sweeten Quality of Service Policy Interactions, In: Proceedings of the 26th International Conference on Software Engineering (ICSE'04), Edinburgh, Scotland, UK, 2004, pp. 189-199.
[49] Fernando Miguel Carvalho, Rui Gustavo Crespo, An Experimental Distributed Resolution of WWW Interactions, In: Proceedings of IADIS International Conference on WWW/Intemet 2005, 2005: 283-290
[1] Dasgupta D, Attoh-Okine N, Immunity-Based Systems: A Survey, In: Proceedings of the IEEE International Conference on Systems, Man and Cybernetics, Orlando, USA, 1997, 1: 369-374
[2] S. Forrest, S. Hofmeyr, and A. Somayaji., Computer Immunology, Communications of the ACM, 1997, 40(10): 88-96
[3] de Castro L. N., Von Zuben F. J., Artificial Immune Systems: Part Ⅰ-Basic Theory and Applications, Technical Report-RT DCA, Brazil, 1999. 1
[4] de Castro L. N., Von Zuben F. J., Artificial Immune Systems: Part Ⅱ-A Survey of Applications, Technical Report-RT DCA, Brazil, 2000. 2
[5] 焦李成，杜海峰，人工免疫系统进展与展望，电子学报，31(10)，2003，1540-1548．
[6] 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，25(12)，2002，1281-1293．
[7] 李涛，计算机免疫学，电子工业出版社，2004年7月．
[8] Harmer, P. K., Williams, P. D., Gunsch, G. H., Lamont, G. B., An artificial immune system architecture for computer security applications, In: IEEE Transactions on Evolutionary Computation, June 2002, 6(3): 252-280
[9] Dasgupta, D., Gonzalez, F., An immunity-based technique to characterize intrusions in computer networks, In: IEEE Transactions on Evolutionary Computation, June 2002, 6(3): 281-291
[10] Forrest, S., Perelson, A. S., Allen, L., Cherukuri, R., Self-nonself discrimination in a computer, In: Proceedings of IEEE Computer Society Symposium on Research in Security and Privacy, 1994: 202-212
[11] D Dasgupta, S Forrest, Artificial immune systems in industrial applications, In:. Proceedings of the Second International Conference on Intelligent Processing and Manufacturing of Materials (IPMM'99), 1999, 1: 257-267.
[12] Branco, P. J. C., Dente, J. A., Mendes, R. V., Using immunology principles for fault detection, In: IEEE Transactions on Industrial Electronics, April 2003, 50(2): 362-373
[13] Bradley, D. W., Tyrrell, A. M., Immunotronics-novel finite-state-machine architectures with built-in self-test using self-nonself differentiation, IEEE Transactions on Evolutionary Computation, June 2002, 6(3): 227-238
[14] 熊文剑．一种基于免疫学原理的下一代网络业务冲突在线检测方法[博士学位论文]．北京，北京邮电大学，2005．
[15] 魏薇．基于免疫原理在线检测和解决下一代网络业务冲突方法的研究[博士学位论文]．北京，北京邮电大学，2006．
[16] S. A. Hofmeyr, An Interpretative Introduction to the Immune System, In Design Principles for the Immune System and other Distributed Autonomous Systems, I. Cohen and L. Segel(eds.), Oxford University Press, 2000.
[1] James F. Allen and George Ferguson, Actions and events in interval temporal logic, Journal of Logic Computation, 1994, 4(5): 531-579
[2] James F. Allen, Maintaining knowledge about temporal intervals. Communications of the ACM, 1983, 26(11): 832-834
[3] Jianyin Zhang, Sen Su, Fangchun Yang, Detecting Race Conditions in Web Services, In: Proceedings of the International Conference on Internet and Web Applications and Services (ICIW'06), Guadeloupe, French, February 2006
[4] Fo rrest S, Hofmeyr S A, Immunology as information processing. In: Segel and Cohen eds. Design Principles for the Immune System and Other Distributed Autonomous Systems, USA: Oxford University Press, 2000
[5] S. Hofmeyr, S. Forrest, Architecture for Artificial Immune System, Evolutionary Computation, Vol. 7, 2000, pp. 45-68
[6] J. K Percus, O. Percus, and A. S. Person. Probability of Self Non-self discrimination. In A. S. Perelson and G. Weisbuch, (eds.), Theoretical and Experimental Insights into Immunology, pp 63-70. Springer-Verlag, 1992
[7] J. K Percus, O. Percus and A. S. Person. Predicting the size of the antibody-combining region from consideration of efficient self/non-self discrimination, In: Proceedings of the National Academy of Science, 60: pp. 1691-1695, 1993
[8] J. D. Farmer, N. H. Packard, and A. S. Perelson, The immune system, adaptation, and machine learning, Physica D, vol. 22, pp. 187-204, 1986
[9] Franciszek Seredynski, Pascal Bouvry, Some Issues in Solving the Anomaly Detection Problem using Immunological Approach, Proceedings of the 19th IEEE International Parallel and Distributed Processing Symposium (IPDPS'05), 2005
[10] J. F. Martins, P. J. Costa Branco, A. J. Pires and J. A. Dente, Fault Detection using Immune-Based Systems and Formal Language Algorithms, Proceedings of the 39& IEEE Conference on Decision and Control, Sydney, Australia December, 2000
[11] Forrest, S., Perelson, A. S., Allen, L., Cherukuri, R., Self-nonself discrimination in a computer, In: Proceedings of IEEE Computer Society Symposium on Research in Security and Privacy, 1994: 202-212
[12] Burnet F M. The Clonal Selection Theory of Acquired Immunity. Gambridge: Gambridge University Press, 1959
[13] F. M. Burnet. Clonal Selection and After. In: G. I. Bell, A. S. Perelson, G. H. Pimbley (editors)Theoretical Immunology, New York, M arcelDekker Inc., 1978, 63-85.
[14] 李涛，计算机免疫学，北京：电子工业出版社，2004年
[1] Keck D. O. and Kuehn P. J. The Feature and Service Interaction Problem in Telecommunications Systems: A Survey. IEEE Transactions on Software Engineering, October 1998. 9, 24(10): pp 779—796
[2] 魏薇．基于免疫原理在线检测和解决下一代网络业务冲突方法的研究[博士学位论文]．北京，北京邮电大学，2006．
[3] Little M. C. and Webber J., Introducing WS-Transaction (part Ⅰ), Web Services Journal. Vol. 3, Issues 6, June 2003
[4] Little M. C. and Webber J., Introducing WS-Transaction (part Ⅱ), Web Services Journal. Vol. 3, Issues 7, June 2003
[5] Manish Verma, Parveen Deswal, Approaching Web services transactions, Feb 2003, http://www-128.ibm.com/developerworks/webservices/library/ws-tranart/
[6] A Ceponkus, et al., Business Transaction Protocol V1. 0, Jun 2002, http://www.oasis-open.org/committees/download.php/1184/2002-06-03.BTP-cttee-spec-1.0.pdf
[7] F Cabrera, et al., Web Services Coordination (WS-Coordination), V1.0, specification, Aug 2005, flp://www6.software.ibm.com/software/developer/library/WS-Coordination.pdf
[8] F Cabrera, et al., Web Services Atomic Transaction (WS-AtomicTransaction), V 1.0, specification, Aug 2005, ftp://www6.software.ibm.com/software/developer/library/WS-AtomicTransaction.pdf
[9] F Cabrera, et al., Web Services Business Activity Framework (WS-BusinessActivity), V1.0, specification, Aug 2005, ftp://www6.soflware.ibm.com/software/developer/library/WS-BusinessActivity.pdf
[10] D. Bunting, et al., Web services composite application framework (WS-CAF), July 2003. http://www.iona.com/devcenter/standards/WS-CAF/WS-CAF.pdf
[11] Schmit, B. A. Dustdar, S, Towards transactional Web services, In: Proceedings of Seventh IEEE International Conference on E-Commerce Technology Workshops, 2005., July 2005, 12-20
[12] Seunglak Choi, Hyukjae Jang, Hangkyu Kim, Jungsook Kim, Su Myeon Kim, Junehwa Song, A Framework for Handling Dependencies among Web Services Transactions (poster), In: Proc. of the 14th International World Wide Web Conference (WWW 2005), 2005: 1130-1131
[13] Sami B, Claude G, Olivier P, Reliable Web services composition using a transactional approach, In: Proceedings of the IEEE International Conference on e-Technology, e-Commerce and e-Service, Hong Kong, IEEE, March 2005
[14] Xinming Wang, Gansen Zhao, Xin Zhang, Beihong Jin, An Agent-Based Model For Web Services Transaction Processing, In: Proceedings of 2005 IEEE International Conference on e-Technology, e-Commerce and e-Service (EEE'05), March 2005: 186-189
[15] Friedrich H. Vogt, Simon Zambrovski, Boris Gruschko, Peter Furniss, Alastair Green, Implementing Web Service Protocols in SOA: WS-Coordination and WS-BusinessActivity, In: Proceedings of the 7th IEEE International Conference on E-Commerce Technology Workshops (CEC 2005), 2005: 21-28
[16] Ruey-Shyang Wu, Shyan-Ming Yuan, Enable Transaction in Web Services Environment, In: Proceedings of International Conference on Next Generation Web Services Practices (NWeSP'05), Seoul, Korea, August 2005
[17] Tosic, V., Pagurek, B., Esfandiari, B., Patel, K., On the Management of Compositions of Web Services, position paper at the Workshop on Object-Oriented Web Services-OOWS (at OOPSLA 2001), Tampa, USA, October 15, 2001
[1] Michael Weiss, Babak Esfandiari, and Yun Luo, Towards a Classification of Web Service Feature Interactions, In: Proceedings of the Third International Conference on Service Oriented Computing (ICSOC05), Amsterdam, Netherlands, 2005
[2] E. Wohlstadter, S. Tai, T. Mikalsen, I. Rouvellou, and P. Devanbu, GlueQoS: Middleware to Sweeten Quality of Service Policy Interactions, In: Proceedings of the 26th International Conference on Software Engineering (ICSE'04), Edinburgh, Scotland, UK, 2004, pp. 189-199.
[3] 3GPP, "IP Multimedia Subsystem (IMS)", TS 23.228, V6.4.1, Jan 2004
[4] ITU-T, "Principles of Intelligent Network Architecture", Recommendation Q. 1201, Geneva, 1992
[5] Lina Ren, Fei Li, Qi Yu, Bo Yang, Rule-based on-line feature interaction detection for IMS Call Control Services, IBM Research Report, RC 24061, Sep 2006
[6] Gouya A., Crespi N. Bertin E., and Oueslati L., Managing Service Capability and Service Feature Interactions in the IMS of UMTS, In: Proceeding of IEEE International Conference on Networking and Services, ICNS'06, Silicon Valley, USA, July 16-18, 2006