云制造若干关键技术及其应用研究
|
摘要
制造服务正成为制造业新的经济增长点。云制造的提出为制造业由生产型成功转型为服务型提供了一种新的思路。然而云制造还是一个新兴领域，其研究目前仍处于起步阶段，相关理论研究和应用方面都不够成熟。本文结合目前在研的科研项目，开展了云制造体系架构、关键技术、平台及工具集的研究。
本文的主要工作及创新性成果包括：
（1）提出基于“物控网+融合网”的云制造二级体系结构。该体系结构是一个动静结合的体系。其中，物控网是静态网络，负责实现制造资源的封装、接入、组织和管理等；融合网是动态网，负责制造资源的按需动态融合、重组与联动。这一动一静的二级体系，对云制造系统形成了充分的、合理的共性抽象，形成了合理的支撑环境，利于提高软件开发效率、利于系统管理。
（2）研究物控网体系结构模型，并给出设计实现该模型关键问题的解决方案。该模型有两个关键的架构组件：物控网平台和物控网节点。物控网平台提供了各种标准和模板，用来规范制造资源的封装、接入、组织和管理；物控网节点用于负责本地制造资源的具体封装实现和管理。针对那些自身提供调用功能接口的制造资源，文中还提出一种资源功能自动服务化抽取和封装工具辅助资源提供者来快速完成资源封装。
（3）分析融合网模型的融合框架，并使用接口自动机形式化建模工具，给出融合网资源模型以及资源融合模型的形式化描述；扩展格件横向融合系统，丰富了格件理论模型；基于提出的融合网环境和工具，快速构建了一个可运行的云制造应用系统，系统实例证明了基于融合网构造应用系统的可行性，以及构造应用系统的良好可复用性、并发性和可扩展性。
（4）提出基于DHT和分层的云制造资源服务组织模型。该模型采用分层的管理方式，逻辑上分为三层：下层是资源服务层，是由各种托管型制造资源服务组成；中间层由若干自治域组成，负责区域内资源服务的注册、部署、管理和查找；上层为由负责资源服务注册的服务注册节点组成的基于DHT的覆盖网，用于实现对服务注册节点的组织、管理和资源服务定位。基于该模型设计了支持5种查询方式的搜索算法，并对算法的复杂度和性能进行分析和评估。实验结果表明该模型有效地解决了分布式云制造资源服务的组织和资源服务的复杂搜索问题。
（5）提出基于fuzzy TOPSIS的资源服务优化选择算法。该算法以三角模糊数表达用户对资源服务非功能QoS评价为基础，在考虑用户的感知和交易经验的同时，综合考虑了资源服务非功能QoS评价合成中的各种因素（如时间、用户信誉度、评价一致性等）的影响。由于该算法需要消耗时间计算评价合成阶段中用户评价意见的相似性，导致其时间复杂度较高，因此，文中还给出了相应的改进方法。实验结果表明，提出的算法及其优化算法具有较高的准确度，并可在一定程度上抵制恶意评价对资源服务质量评价的影响。
（6）搭建了一个面向中小企业的公共云制造服务平台，并对平台架构中的各层结构进行了定义和形式化描述；对服务平台的运作模型进行了描述；开发出面向中小企业的公共云制造服务平台原型系统，并进行应用验证。原型系统的开发作为一个示范系统，为这类系统的开发提供了思路和借鉴。
Manufacturing service is becoming the new economic increasing point of manufacturingindustry. With the coming forth of the Cloud manufacturing (CMg), it provides a new way formanufacturing industry to transform from production-oriented to service-oriented. However,CMg is a new research field still in its infancy, and either the theoretical research or theapplication is not mature enough. This dissertation researches the CMg system architecture,key technique, platform and toolkit combined with research program at present.
The main works and contributions of the dissertation are itemized as follows:
(1) Proposing CMg architecture, a two-level and dynamic static integrated architecturebased on “Physical Control Network (PCN)+Fusion Network (FN)”. The PCN is a staticnetwork, which in charge of achieving the manufacturing resource packaging, registration andpublication, as well organization and management, etc; the FN is a dynamic network, whichresponsible to achieve dynamic integration on demand, restructuring and linkage of themanufacturing. This architecture forms a sufficient and reasonable common abstraction forCMg system, as well as a reasonable supporting environment, which will be helpful toimprove the efficiency of software development and system management.
(2) Researching the architecture model of PCN and giving the solutions to implementthis model. This model has two key architecture components: PCN platform and PCN node.PCN platform provides several of criteria and templates to specify the manufacturing resourcepackaging, registering, organizing and management; PCN node is in charge of actualpackaging implemention and management of local manufacturing resource. For thoseresources that provide callable function interfaces, this paper proposes a tool to automaticallyextracting and packaging the functions of resources, so as to help the resource providers tofinish the resource packaging rapidly.
(3)Analyzing the fusion framework of FN model and presenting the interfaceautomata-based formal descriptions respectively for resource model and resource fusionmodel. The Gridware horizontal fusion system is extended, and perfects the theory model ofGridware. A cloud manufacturing application system is constructed based on the fusionnetwork environment and tools, and proofs that it is feasibility to construct applications bythis fusion network, and also reflects its good reusability, concurrency and scalability.
(4)Proposing a CMg resource service organization model based on distributed hash table(DHT) and layered. The model is divided into three layers logically: a) the lower is resourceservice layer which is comprised of various trusteeship-manufacturing resource services; b) the middle is made up some autonomous domains which is responsible for registering,
deploying, managing and searching resource service in its region; c) the upper is a DHT-basedoverlay network composed of service registry nodes, and is used to organize, manage andsearch service registry node. Five searching algorithms to support comprehensive query typesbased on this model are presented, as well as the theoretical complexity analysis andperformance evaluation. Experimental results reveal that this model can effectively solve theproblems existing in distributed cloud manufacturing resource service organization andsearching.
(5) Proposing a Fuzzy TOPSIS-based resource service optimal-selection algorithm. Inthis algorithm, it represents all users’ evaluations on non-functional QoS assumed that bytriangle fuzzy numbers, and takes into account not only the user’s feeling and transactionexperiences, but also many other factors existing in the non-functional QoS evaluationaggregation of resource services (such as time, user reputation, evaluation consistency, etc).For the problems that the computing complexity is higher in the similarity computing ofusers’ evaluation aggregation, a new improved method is proposed. Experimental resultsshow that the proposed algorithms have high accuracy, and can prevent the impact from themalicious evaluations at some extent.
(6) Constructing a public cloud manufacturing service platform for the Small andMedium Enterprises (SME), and giving its formal description. The operating principle of theplatform is described, and the public cloud manufacturing service platform system for SME isdeveloped and implemented. As a demonstrated system, it provides thoughtways andreferences.
本文的主要工作及创新性成果包括：
（1）提出基于“物控网+融合网”的云制造二级体系结构。该体系结构是一个动静结合的体系。其中，物控网是静态网络，负责实现制造资源的封装、接入、组织和管理等；融合网是动态网，负责制造资源的按需动态融合、重组与联动。这一动一静的二级体系，对云制造系统形成了充分的、合理的共性抽象，形成了合理的支撑环境，利于提高软件开发效率、利于系统管理。
（2）研究物控网体系结构模型，并给出设计实现该模型关键问题的解决方案。该模型有两个关键的架构组件：物控网平台和物控网节点。物控网平台提供了各种标准和模板，用来规范制造资源的封装、接入、组织和管理；物控网节点用于负责本地制造资源的具体封装实现和管理。针对那些自身提供调用功能接口的制造资源，文中还提出一种资源功能自动服务化抽取和封装工具辅助资源提供者来快速完成资源封装。
（3）分析融合网模型的融合框架，并使用接口自动机形式化建模工具，给出融合网资源模型以及资源融合模型的形式化描述；扩展格件横向融合系统，丰富了格件理论模型；基于提出的融合网环境和工具，快速构建了一个可运行的云制造应用系统，系统实例证明了基于融合网构造应用系统的可行性，以及构造应用系统的良好可复用性、并发性和可扩展性。
（4）提出基于DHT和分层的云制造资源服务组织模型。该模型采用分层的管理方式，逻辑上分为三层：下层是资源服务层，是由各种托管型制造资源服务组成；中间层由若干自治域组成，负责区域内资源服务的注册、部署、管理和查找；上层为由负责资源服务注册的服务注册节点组成的基于DHT的覆盖网，用于实现对服务注册节点的组织、管理和资源服务定位。基于该模型设计了支持5种查询方式的搜索算法，并对算法的复杂度和性能进行分析和评估。实验结果表明该模型有效地解决了分布式云制造资源服务的组织和资源服务的复杂搜索问题。
（5）提出基于fuzzy TOPSIS的资源服务优化选择算法。该算法以三角模糊数表达用户对资源服务非功能QoS评价为基础，在考虑用户的感知和交易经验的同时，综合考虑了资源服务非功能QoS评价合成中的各种因素（如时间、用户信誉度、评价一致性等）的影响。由于该算法需要消耗时间计算评价合成阶段中用户评价意见的相似性，导致其时间复杂度较高，因此，文中还给出了相应的改进方法。实验结果表明，提出的算法及其优化算法具有较高的准确度，并可在一定程度上抵制恶意评价对资源服务质量评价的影响。
（6）搭建了一个面向中小企业的公共云制造服务平台，并对平台架构中的各层结构进行了定义和形式化描述；对服务平台的运作模型进行了描述；开发出面向中小企业的公共云制造服务平台原型系统，并进行应用验证。原型系统的开发作为一个示范系统，为这类系统的开发提供了思路和借鉴。
Manufacturing service is becoming the new economic increasing point of manufacturingindustry. With the coming forth of the Cloud manufacturing (CMg), it provides a new way formanufacturing industry to transform from production-oriented to service-oriented. However,CMg is a new research field still in its infancy, and either the theoretical research or theapplication is not mature enough. This dissertation researches the CMg system architecture,key technique, platform and toolkit combined with research program at present.
The main works and contributions of the dissertation are itemized as follows:
(1) Proposing CMg architecture, a two-level and dynamic static integrated architecturebased on “Physical Control Network (PCN)+Fusion Network (FN)”. The PCN is a staticnetwork, which in charge of achieving the manufacturing resource packaging, registration andpublication, as well organization and management, etc; the FN is a dynamic network, whichresponsible to achieve dynamic integration on demand, restructuring and linkage of themanufacturing. This architecture forms a sufficient and reasonable common abstraction forCMg system, as well as a reasonable supporting environment, which will be helpful toimprove the efficiency of software development and system management.
(2) Researching the architecture model of PCN and giving the solutions to implementthis model. This model has two key architecture components: PCN platform and PCN node.PCN platform provides several of criteria and templates to specify the manufacturing resourcepackaging, registering, organizing and management; PCN node is in charge of actualpackaging implemention and management of local manufacturing resource. For thoseresources that provide callable function interfaces, this paper proposes a tool to automaticallyextracting and packaging the functions of resources, so as to help the resource providers tofinish the resource packaging rapidly.
(3)Analyzing the fusion framework of FN model and presenting the interfaceautomata-based formal descriptions respectively for resource model and resource fusionmodel. The Gridware horizontal fusion system is extended, and perfects the theory model ofGridware. A cloud manufacturing application system is constructed based on the fusionnetwork environment and tools, and proofs that it is feasibility to construct applications bythis fusion network, and also reflects its good reusability, concurrency and scalability.
(4)Proposing a CMg resource service organization model based on distributed hash table(DHT) and layered. The model is divided into three layers logically: a) the lower is resourceservice layer which is comprised of various trusteeship-manufacturing resource services; b) the middle is made up some autonomous domains which is responsible for registering,
deploying, managing and searching resource service in its region; c) the upper is a DHT-basedoverlay network composed of service registry nodes, and is used to organize, manage andsearch service registry node. Five searching algorithms to support comprehensive query typesbased on this model are presented, as well as the theoretical complexity analysis andperformance evaluation. Experimental results reveal that this model can effectively solve theproblems existing in distributed cloud manufacturing resource service organization andsearching.
(5) Proposing a Fuzzy TOPSIS-based resource service optimal-selection algorithm. Inthis algorithm, it represents all users’ evaluations on non-functional QoS assumed that bytriangle fuzzy numbers, and takes into account not only the user’s feeling and transactionexperiences, but also many other factors existing in the non-functional QoS evaluationaggregation of resource services (such as time, user reputation, evaluation consistency, etc).For the problems that the computing complexity is higher in the similarity computing ofusers’ evaluation aggregation, a new improved method is proposed. Experimental resultsshow that the proposed algorithms have high accuracy, and can prevent the impact from themalicious evaluations at some extent.
(6) Constructing a public cloud manufacturing service platform for the Small andMedium Enterprises (SME), and giving its formal description. The operating principle of theplatform is described, and the public cloud manufacturing service platform system for SME isdeveloped and implemented. As a demonstrated system, it provides thoughtways andreferences.
引文
[1]两化融合[EB/OL]. http://baike.baidu.com/view/3162693.htm?fromTaglist
[2]王亚男.两化融合中我国制造业的机遇、挑战与发展[J].北京邮电大学学报（社会科学版）,2011,13(2):75-82
[3]李伯虎,张霖,柴旭东.云制造概论[J].中兴通讯技术,2010,16(4):5-8
[4]杨海成.云制造是一种制造服务[J].中国制造业信息化,2010,39(6):22-23
[5]李伯虎,张霖,王时龙,等.云制造—面向服务的网络化制造新模式[J].计算机集成制造系统,2010,16(1):1-7
[6]CCE-CNMA Consortium. CCE-CNMA: an integration platform for distributedmanufacturing applications [M]. Berlin, Germany: Springer-VerIag,1995
[7]Shang H, Zhao Z. Thorn R. Implementing Manufacturing Message Specifications (MMS)within collaborative virtual environments over the Internet[J]. International Journal ofComputer Integrated Manufacturing,2003,16(2):112-127
[8]Weston R H. Steps towards enterprise-wide integration: a definition of need andfirst-generation open solutions [J]. International Journal of Production Research,1993,31(9):2235-2254
[9]Wilson M, Aguiar C, Edwards J M. Achieving manufacturing business integration throughthe combined formalisms of CIMOSA and Petri nets [J]. International Journal ofProduction Research,1999,37(8):1767-1786
[10]Richard W. Model-driven, component-based approach to reconfiguring manufacturingsoftware systems [J]. International Journal of Operations&Production Management,1999,19(8):834-855
[11]http://www-cdr.Stanford.edu/CDR/index.php/Main/HomePage
[12]http://www.darpa.mil/dso/textonly/trans/agile.html
[13]McFarlan D, Cambridge supply networks activities [J]. The strategic and operationalmanagement of manufacturing and technology,2004
[14]Qiu R G. Manufacturing grid: a next generation manufacturing model [C]. Proceeding ofIEEE International Conference on Systems, Man and Cybernetics, Hague Netherlands,2004,5:4667-4672
[15]Li D. Business grid and intelligent supply chains e-Business group management [C].LNCS3170.2004,4
[16]范玉顺.工作流管理技术基础：实现企业业务过程重组、过程管理与业务过程自动化的核心技术[M].北京:清华大学出版社,施普林格出版社,2001
[17]刘胜,黄河,刘飞.陶瓷产品网络化销售和定制系统设计研究[J].计算机集成制造系统,2002,8(4):303-305,325
[18]杨明,张冰,马萍,等. DIS系统测试-评估-协同工作集成平台研究[J].系统仿真学报,2002,14(l):63-66
[19]严隽薇,王坚,戴毅茹.面向网络化制造ASP平台工具构件与集成技术[J].制造业自动化,2004,26(l):48-51
[20]蔡铭,林兰芬,陈刚,等.网络化制造环境中制造资源的智能发现技术研究[J].计算机集成制造系统,2003,9(7):589-594
[21]朴杰,朱云龙.网格技术在虚拟企业中的应用研究[J].计算机集成制造系统,2005,11(7):1019-1023
[22]Fan Y, Zhao D, Zhang L, et al. Manufacturing grid: needs, concept, andarchitecture[M]//Grid and Cooperative Computing. Springer Berlin Heidelberg,2004:653-656.
[23]温浩宇,任小龙,徐国华.制造网格的搜索算法研究[J].中国机械工程,2004,15(22):2014-2017
[24]刘丽兰,蔡红霞,俞涛.制造网格基础、原理与技术[M].上海:上海大学出版社,2008
[25]曾小青,高阳. ERP生产计划新思路基于协同制造网格的高级计划系统[J].科技进步与对策.2005,5:103-105
[26]张倩,齐德昱.面向服务的云制造协同设计平台[J].华南理工大学学报(自然科学版),2011,39(12):75-81
[27]云计算[EB/OL].http://zh.wikipedia.org/wiki/%E9%9B%B2%E7%AB%AF%E9%81%8B%E7%AE%97
[28]Google App Engine API [EB/OL].http://www.programmableweb.com/api/google-app-engine
[29]IBM Blue Cloud [EB/OL]. http://www.ibm.com/ibm/cloud/
[30]Amazon Elastic Compute Cloud (Amazon EC2)[EB/OL]. http://aws.amazon.com/ec2
[31]Windows Azure [EB/OL]. http://www.windowsazure.com/zh-cn/
[32]Keahey K, Figueiredo R, Fortes J, et al. Science clouds: Early experiences in cloudcomputing for scientific applications[C]. In Proc of Workshop on Cloud Computing andits Applications,2008
[33]刘鹏.云计算技术基础[M].2版.北京:电子工业出版社,2011
[34]陈康,郑纬民.云计算：系统实例与研究现状[J].软件学报,2009,20(5):1337-1348
[35]李亚琼,宋莹,黄永兵.一种面向虚拟化云计算平台的内存优化技术[J].计算机学报,2011,34(4):684-693
[36]方巍,文学志,潘吴斌,等.云计算：概念、技术及应用研究综述[J].南京信息工程大学学报(自然科学版),2012,4(4):351-361
[37]赛迪网.中国云计算产业发展白皮书[R].北京：赛迪网赛迪顾问,2011
[38]李伯虎,张霖,任磊,等.再论云制造[J].计算机集成制造系统,2011,17(3):449-457
[39]何积丰. Cyber Physical Systems [J].中国计算机学会通讯,2010,6(1):25-29
[40]林峰,舒少龙.赛博物理系统发展综述[J].同济大学学报(自然科学版),2010,38(8):1243-1248
[41]Tan Y, Goddard S. Pérez L C. A prototype architecture for cyber-physical systems [J],ACM SIGBED Review,2008,5(1):1-2
[42]王中杰,谢璐璐.信息物理融合系统研究综述[J].自动化学报,2011,37(10):1157-1166
[43]EVANS-PUGHE C. Europe researches embedded systems with ARTEMIS [EB/OL].http://www.electronicsweekly.com/Articles/2006/05/15/38622/Europe-researches-embed-ded-systems-with-ARTEMIS.html,2010-03-21
[44]Krogh B H, Lee E, Lee I, et al. Cyber-Physical Systems, Executive Summary[J], CPSSteering Group, Washington DC,2008
[45]中国国家自然科学基金委员会.2010项目指南：重点项目[EB/OL].http://www.nsfc.gov.cn/nsfc/cen/xmzn/2010xmzn/02/06.html,2010-03-21.
[46]中华人民共和国科学技术部国家科技计划项目申报中心.国家重点基础研究发展计划、国家重大科学研究计划2010年度重要支持方向[EB/OL]. http://program.mo-st.gov.cn/htmledit/E9ED307C-D6A1-81D7-EE32-8C09D9FDEDAA.html,2010-03-22
[47]Cyber-Physical Systems Group [Online]. available: http://www.cpschina.org,2011-11-13
[48]李伟平,林慧苹,莫同,等.云制造中的关键技术分析[J].制造业自动化,2011,33(1):7-10
[49]李伯虎,柴旭东,侯宝存,等.一种基于云计算理念的网络化建模与仿真平台——“云仿真平台”[J].系统仿真学报,2009,21(17):5292-5299
[50]Zhang L, Guo H, Tao F, et al. Flexible management of resource service composition incloud manufacturing[C].2010IEEE International Conference on Industrial Engineeringand Engineering Management (IEEM '10). Macao: IEEE Computer Society,2010:2278-2282
[51]Cheng Y, Tao F, Zhang L, et al. Study on the utility model and equilibrium of resourceservice transaction in cloud manufacturing[C].2010IEEE International Conference onIndustrial Engineering and Engineering Management (IEEM '10). Macao: IEEE ComputerSociety,2010:2298-2302
[52]张霖,罗永亮,陶飞,等.制造云构建关键技术研究[J].计算机集成制造系统,2010,16(11):2510-2520
[53]任磊,张霖,张雅彬,等.云制造资源虚拟化研究[J].计算机集成制造系统,2011,17(3):511-518
[54]陶飞,张霖,郭华,等.云制造特征及云服务组合关键问题研究[J].计算机集成制造系统,2011,17(3):477-486
[55]李春泉,尚玉玲,胡春杨,等.基于K－最短路算法的云制造多粒度访问控制技术[J].计算机应用,2011,31(9):2356-2358,2381
[56]马翠霞,任磊,滕东兴,等.云制造环境下的普适人机交互技术[J].计算机集成制造系统,2011,17(3):504-510
[57]贺东京,宋晓,王琪,等.基于云服务的复杂产品协同设计方法[J].计算机集成制造系统,2011,17(3):533-539
[58]徐岩,李强,秦岩,等.基于云制造的模具协同设计与制造模式探析[J].机械设计与制造,2012,(2):247-249
[59]Liu N, Li X, Wang Q. A resource&capability virtualization method for cloudmanufacturing systems[C]. IEEE International Conference on Systems, Man, andCybernetics (SMC),2011:1003-1008
[60]Wu L. Resource virtualization model in cloud manufacturing[J]. Advanced MaterialsResearch,2011,143:1250-1253
[61]陈琨,王东勃,王颖慧,等.云制造软资源封装研究[J].中国制造业信息化,2012,41(5):58-63
[62]刘士军,曲本科,武蕾,等.自组织云制造资源聚集框架与多维属性区间搜索方法研究[J].计算机辅助设计与图形学学报,2012,24(3):299-307
[63]汪卫星,刘飞.云制造资源的一种发现机制[J].广西大学学报：自然科学版.2012,37(2):323-327
[64]Wang W, Liu F. The research of cloud manufacturing resource discovery mechanism [C].Proceedings of the7th International Conference on Computer Science&Education(ICCSE). Melbourne, Australia,2012:188-191
[65]Zhang W, Zhang S, Qi F, et al. Self-organized p2p approach to manufacturing servicediscovery for cross-enterprise collaboration[J]. IEEE Transactions on Systems, Man, andCybernetics: Systems, in press,2013
[66]Lartigau J, Nie L, Xu X, et al. Scheduling methodology for production services in CloudManufacturing[C]. Service Sciences (IJCSS),2012International Joint Conference on.IEEE,2012:34-39
[67]付伟.云制造若干关键技术研究及其原型系统初步开发[D].浙江:浙江大学.2012
[68]Nassehi A, Newman S T, Xu X W, et al. Toward interoperable CNC manufacturing[J].International Journal of Computer Integrated Manufacturing,2008,21(2):222-230
[69]Mokhtar A, Houshmand M. Introducing a roadmap to implement the universalmanufacturing platform using axiomatic design theory[J]. International Journal ofManufacturing Research,2010,5(2):252-269
[70]Suh S H, Shin S J, Yoon J S, et al. UbiDM: A new paradigm for product design andmanufacturing via ubiquitous computing technology[J]. International Journal of ComputerIntegrated Manufacturing,2008,21(5):540-549
[71]Wang X V, Xu X W. DIMP: an interoperable solution for software integration and productdata exchange[J]. Enterprise Information Systems,2012,6(3):291-314
[72]Mclaughlin P, Duca A, Burd M. Cloud computing for a manufacturing executionsystem[P]. US Patent: US20100256794A1,2010-07-10
[73]张霖,郭华,陶飞.一种面向云制造系统的资源服务组合柔性量测和提高方法[P].CN:101958917A,2011-01-26
[74]金世杰,赵问道. CDN网络路由技术[J].计算机应用研究,2003,8(1):80-82
[75]Chinacache [EB/OL]. http://www.chinacache.com
[76]Saroiu S, Gummadi K P, Gribble S D. Measuring and analyzing the characteristics ofNapster and Gnutella hosts [J]. Multimedia systems,2003,9(2):170-184
[77]Stoica I, Morris R, Karger D, et al. Chord: A scalable peer-to-peer lookup service forinternet applications[C]. Proceeding of the2001Conference on Applications,Technologies, Architectures, and Protocols for Computer Communications. New York:ACM Press,2001:149-160
[78]Ratnasamy S, Francis P, Handley M, et al. A scalable content-addressable network [C].Proceedings of the2001Conference on Applications, Technologies, Architectures, andProtocols for Computer Communications. New York: ACM Press,2001:161-172
[79]Rowstron A I T, Druschel P. Pastry: Scalable, decentralized object location, and routingfor large-scale peer-to-peer systems[C]. Proceedings of the IFIP/ACM InternationalConference on Distributed Systems Platforms. London: Springer,2001:329-350
[80]Zhao B Y, Huang L, Stribling J, et al. Tapestry: A resilient global-scale overlay for servicedeployment [J]. IEEE Journal on Selected Areas in Communications,2004,22(1):41-53
[81]Wang Y, Yun X, Li Y. Analyzing the characteristics of gnutella overlays[C]. FourthInternational Conference on Information Technology. IEEE,2007:1095-1100
[82]Leibowitz N, Ripeanu M, Wierzbicki A. Deconstructing the kazaa network[C].Proceedings of The Third IEEE Workshop on Internet Applications. IEEE,2003:112-120
[83]Baset S A, Schulzrinne H. An analysis of the skype peer-to-peer internet telephonyprotocol[J]. arXiv preprint cs/0412017,2004
[84]Stutzbach D, Rejaie R. Characterizing the two-tier gnutella topology[J]. ACMSIGMETRICS Performance Evaluation Review,2005,33(1):402-403
[85]Chu Y, Rao S G, Seshan S, et al. A case for end system multicast[J]. IEEE Journal onSelected Areas in Communications,2002,20(8):1456-1471
[86]Ratnasamy S, Handley M, Karp R, et al. Application-level multicast usingcontent-addressable networks [J]. Networked Group Communication,2001:14-29
[87] Zhuang S Q, Zhao B Y, Joseph A D, et al. Bayeux: An architecture for scalable andfault-tolerant wide-area data dissemination[C]. Proceedings of the11th internationalworkshop on Network and operating systems support for digital audio and video. NewYork, NY, USA: ACM,2001:11-20
[88]Castro M, Druschel P, Kermarrec A M, et al. SCRIBE: A large-scale and decentralizedapplication-level multicast infrastructure [J]. Selected Areas in Communications, IEEEJournal on,2002,20(8):1489-1499
[89]Padmanabhan V N, Wang H J, Chou P A, et al. Distributing streaming media contentusing cooperative networking[C]. Proceedings of the12th international workshop onNetwork and operating systems support for digital audio and video. ACM,2002:177-186
[90]Castro M, Druschel P, Kermarrec A M, et al. SplitStream: high-bandwidth multicast incooperative environments[C]. ACM SIGOPS Operating Systems Review. New York, NY,USA: ACM,2003:298-313
[91] Jannotti J, Gifford D K, Johnson K L, et al. Overcast: reliable mullticasting with anoverlay network[C]. Proceedings of the4th conference on Symposium on OperatingSystem Design&Implementation. California, U S,2000:14-14
[92]Wagenknecht G, Anwander M, Braun T. SNOMC: An overlay multicast protocol forwireless sensor networks[C].20129th Annual Conference on Wireless On-demandNetwork Systems and Services (WONS). IEEE,2012:75-78
[93]Klemm A, Lindemann C, Waldhorst O P. A special-purpose peer-to-peer file sharingsystem for mobile ad hoc networks[C].2003IEEE58th Vehicular Technology Conference.IEEE,2003:2758-2763
[94]Castro M C, Villanueva E, Ruiz I, et al. Performance evaluation of structured p2p overwireless multi-hop networks[C]. Sensor Technologies and Applications,2008.SENSORCOMM'08. Second International Conference on. IEEE,2008:796-801
[95]Ali M, Uzmi Z A. CSN: A network protocol for serving dynamic queries in large-scalewireless sensor networks[C]. Second Annual Conference on Communication Networksand Services Research. IEEE,2004:165-174
[96]Heinzelman W R, Kulik J, Balakrishnan H. Adaptive protocols for informationdissemination in wireless sensor networks[C]. Proceedings of the5th annual ACM/IEEEinternational conference on Mobile computing and networking. ACM,1999:174-185
[97]Andersen D, Balakrishnan H, Kaashoek F, et al. Resilient overlay networks [J]. ACMSIGCOMM Computer Communication Review,2002,32(1):66-66
[98]虚拟专用网络[EB/OL]. http://baike.baidu.com/view/480950.htm?fromId=19735
[99]Duan Z, Zhang Z L, Hou Y T. Service overlay networks: SLAs, QoS and bandwidthprovisioning [J]. IEEE/ACM Transactions on Networking (TON),2003,11(6):870-883
[100]Chen L, Deng H, Deng Q, et al. Framework of grid manufacturing [J]. TSinghua Seienceand Technology,2004,9(3):327-330
[101]Chen L, Deng H, Deng Q, et al. A research on the framework of grid manufacturing [M].Grid and Cooperative Computing. Springer Berlin Heidelberdg,2004:19-25
[102]付景枝.制造网格的体系结构及其资源管理技术[D].南京:南京理工大学,2007
[103]刘士军.制造网格架构与制造资源协同管理技术[D].济南:山东大学,2006
[104]刘丽兰.制造网格及其基于QoS的资源管理系统研究[D].上海:上海大学,2004
[105]陈庆新,田文生,陈新,等.特许连锁模式下的模具制造网格系统架构[[J].计算机集成制造系统,2003,9(7):595-600
[106]Zheng X, Chen D, Lu L. Research of architecture for grid manufacturing [C].Proceedings of the9th International Conference on Computer Supported CooperativeWork in Design. Coventry, UK,2005:345-349
[107]李春泉. SMT产品制造网格若干关键技术研究[D].上海:上海大学,2007
[108]Ning F, Zhou W, Zhang F, et al. The architecture of cloud maufacturing and its keytechnologies research[C]. Proceedings of IEEE International Conference on CloudComputing and Intelligence Systems. Piscataway, N.J., USA: IEEE Computer Society,2011:259-263
[109]李春泉,尚玉玲,胡春杨.云制造的体系结构及其关键技术研究[J].组合机床与自动化加工技术,2011,(7):104-107,112
[110]程武山,朱明年.云制造——先进制造信息化[J].系统仿真学报,2011,23(10):2258-2262,2268
[111]范文慧,肖田元.基于联邦模式的云制造集成体系架构[J].计算机集成制造系统,2011,17(3):469-476
[112]战德臣,赵曦滨,王顺强,等.面向制造及管理的集团企业云制造服务平台[J].计算机集成制造系统,2011,17(3):487-494
[113]尹超,黄必清,刘飞,等.中小企业云制造服务平台共性关键技术体系[J].计算机集成制造系统,2011,17(3):495-503
[114]李强,秦波,包柏峰.基于云制造的模具协同制造模式探讨[J].锻压技术,2011,36(3):140-143
[115]李波,张国军,施松新.支持协作的模具行业云制造平台及其关键技术[J].计算机集成制造系统,2012,18(7):1620-1626
[116]顾新建,黄沈权,陈芨熙,等.模具行业需求驱动的云制造服务平台[J].计算机集成制造系统,2012,18(7):1650-1657
[117]齐德昱,齐启蒙.基于形式领域融合的计算模型[P]. CN:200910040498.3,2009-11-18
[118]罗彬.格件的Web接口及无线会话的设计与实现[D].广东:华南理工大学,2011
[119]潘巍.格件横向融合器及其类库的设计与实现[D].广东:华南理工大学,2010
[120]侯闯.云制造：摸不着？[J].中国制造业信息化,2010,(6):14-17
[121]张倩,齐德昱.公共制造云服务平台架构及其支撑技术研究[J].计算机应用研究,2013,30(8):2266-2268
[122]Kjellberg T, Bohlin M. Design of a manufacturing resource information system [J].CIRP Annals-Manufacturing Technology,1996,45(1):149-152
[123]Case K. Using a design by features CAD system for process capability modeling [J].Computer Integrated Manufacturing System,1994,7(1):39-49
[124]Feng C X, Kusiak A. Constraint-based design of parts [J]. Computer-Aided Design,1995,27(5):343-352
[125]王耀.基于WSRF的制造网格资源封装技术研究[D].武汉:武汉理工大学,2009
[126]武蕾.制造网格中资源虚拟化方法研究与应用[D].济南:山东大学,2008
[127]劭新宇,李培根. CIM及并行工程中的设备环境建模[J].华中理工大学学报,1995,23(2):14-17
[128]陶飞.制造网格资源服务优化配置理论与应用研究[D].武汉:武汉理工大学,2008
[129]盛步云,李永锋,丁毓峰,等.制造网格中制造资源的建模[J].中国机械工程,2006,17(13):1375-1380
[130]石胜友,莫蓉,杨海成,等.制造网格环境下的资源建模研究[J].计算机工程与设计,2006,27(16):2925-2928
[131]Hu Y, Tao F, Zhao D, et al. Manufacturing grid resource and resource service digitaldescription [J]. The International Journal of Advanced Manufacturing Technology,2009,44(9-10):1024-1035
[132]罗丹,姜建华,盛步云,等.制造网格中基于语义的服务发现技术及应用[J].武汉理工大学报,2008,30(8):53-56
[133]李瑞芳,刘泉,徐文君.云制造装备资源感知与接入适配技术[J].计算机集成制造系统,2012,18(007):1547-1553
[134]朱李楠,赵燕伟,王万良.基于RVCS的云制造资源封装、发布和发现模型[J].计算机集成制造系统,2012,18(008):1829-1838
[135]姚锡凡,金鸿,徐川,等.云制造资源的虚拟化与服务化[J].华南理工大学学报（自然科学版）,2013,41(3):1-7
[136]薛建勋.云制造资源语义描述与建模[J].机械设计与制造,2013,(1):248-253
[137]百科. Web Service [EB/OL]. http://baike.baidu.com.cn/view/67105.htm?fromId=157153
[138]张倩,齐德昱.云制造资源服务的组织与发现机制[J].华南理工大学学报（自然科学版）,2013,41(9):87-94
[139]Indyk P, Motwani R. Approximate nearest neighbor: towards removing the curse ofdimensionality [C]. Proceedings of the30th annual ACM symposium on Theory ofcomputing. New York: ACM Press,1998:604–613
[140]Charikar M S. Similarity estimation techniques from rounding algorithms[C].Proceedings of the34th annual ACM symposium on Theory of computing. New York:ACM Press,2002:380-388
[141]丘景.格件横向融合引擎的设计与实现[D].广东:华南理工大学,2009
[142]张媛.可扩展数据流框架的应用模型描述及可视化建模工具的实现[D].广东:华南理工大学,2008
[143]陈国锋.格件的数据处理支撑的设计与实现[D].广东:华南理工大学,2011
[144]De Alfaro L, Henzinger T A. Interface automata [C]. Proceedings of9th Symposium onFoundations of Software Engineering. New York: ACM Press,2001:109-120
[145]Java API for XML Web Services (JAX-WS) Overview [EB/OL].http://jax-ws.java.net/nonav/2.2.3/docs/index.html
[146]徐岩,李强,秦岩,等.基于云制造的模具协同设计与制造模式探析[J].机械设计与制造,2012,(02):247-249
[147]李慧芳,董训,宋长刚.制造云服务智能搜索与匹配方法[J].计算机集成制造系统,2012,18(007):1485-1493
[148]尹超,夏卿,黎振武.基于OWL-S的云制造服务语义匹配方法[J].计算机集成制造系统,2012,18(007):1494-1502
[149]张金广,李锋刚,张磊.云制造背景下的服务匹配算法[J].计算机技术与发展,2013,23(3):41-44
[150]高一聪,冯毅雄,谭建荣,等.制造资源耦合映射与模糊匹配技术研究[J].计算机辅助设计与图形学学报,2012,24(3):290-298
[151]Márk J, Alberto M, Gian P J, et al. The Peersim simulator [EB/OL]. http://peersim.sf.net
[152]李金忠,夏洁武,唐卫东,等.基于QoS的Web服务选择算法综述[J].计算机应用研究,2010,27(10):3622-3627,3638
[153]Zhou C, Chia L T, Lee B S. Semantics in service discovery and QoS measurement [J]. ITprofessional,2005,7(2):29-34
[154]Wang P. QoS-aware web services selection with intuitionistic fuzzy set underconsumer’s vague perception[J]. Expert Systems with Applications,2009,36(3):4460-4466
[155]Wang P, Chao K M, Lo C C. On optimal decision for QoS-aware composite serviceselection [J]. Expert Systems with Applications,2010,37(1):440-449
[156]Zhang Y, Zhang S S, Han S Q. A new methodology of QoS evaluation and serviceselection for ubiquitous computing [J]. Lecture Notes in Computer Science,2006:69-80
[157]Chen M F, Tzeng G H, Ding C G. Fuzzy MCDM approach to select service provider[C].The12th IEEE International Conference on Fuzzy Systems. St. Louis, MO, USA: Instituteof Electrical and Electronics Engineers Inc,2003:572-577
[158]Tao F, Zhao D M, Zhang L. Resource service optimal-selection based on intuitionisticfuzzy set and non-functionality QoS in manufacturing grid system [J]. Knowledge andInformation Systems,2010,25(1):185-208
[159]张倩,齐德昱.基于fuzzy TOPSIS的资源服务优化选择算法[J].计算机应用研究,2012,29(12):4522-4526
[160]Hwang C L, Yoon K. Multiple attribute decision making: methods and applications: astate-of-the-art survey [M]. Berlin, New York: Springer-Verlag,1981
[161]Chen C T. Extensions of the TOPSIS for group decision-making under fuzzyenvironment [J]. Fuzzy sets and systems,2000,114(1):1-9
[162]Resconi G, Kovalerchuk B. Agents’ model of uncertainty[J]. Knowledge and informationsystems,2009,18(2):213-229
[163]赵海燕,曹健,张友良.一种群体评价一致性合成方法[J].系统工程理论与实践,2000,(07):52-57
[164]Wang P, Chao K M, Lo C C, et al. QoS-aware service selection under consumer’sreputation [C]. Proceedings of IEEE International Conference on e-Business Engineering.Washington DC: IEEE Computer Society,2008:627-632
[165]Chen S J, Chen S M. A new method to measure the similarity between fuzzynumbers[C]. Proceedings of the10th IEEE International Conference on Fuzzy Systems.2001:1123-1126
[166]Tao F, Hu Y F, Zhao D M, et al. Study on resource service match and search inmanufacturing grid system [J]. The International Journal of Advanced ManufacturingTechnology,2009,43(3-4):379-399
[167]Zhang Q, Qi D Y. Application of fuzzy TOPSIS in resource service optimal-selection [J].Journal of Computational Information Systems,2012,8(3):1285-1295
[168]Chou C. The canonical representation of multiplication operation on triangular fuzzynumbers [J]. Computers&Mathematics with Applications,2003,45(10):1601-1610
[169]Yuan J, Skibniewski M J, Li Q, et al. Performance objectives selection model inpublic-private partnership projects based on the perspective of stakeholders [J]. Journal ofManagement in Engineering,2009,26(2):89-104
[170]Lo C C, Chen D Y, Tsai C F, et al. Service selection based on fuzzy TOPSIS method[C].2010IEEE24th International Conference on Advanced Information Networking andApplications Workshops,2010:367-372
[171]Xiong P, Fan Y. QoS-aware web service selection by a synthetic weight [C]. FourthInternational Conference on Fuzzy Systems and Knowledge Discovery,2007:632-637
[2]王亚男.两化融合中我国制造业的机遇、挑战与发展[J].北京邮电大学学报（社会科学版）,2011,13(2):75-82
[3]李伯虎,张霖,柴旭东.云制造概论[J].中兴通讯技术,2010,16(4):5-8
[4]杨海成.云制造是一种制造服务[J].中国制造业信息化,2010,39(6):22-23
[5]李伯虎,张霖,王时龙,等.云制造—面向服务的网络化制造新模式[J].计算机集成制造系统,2010,16(1):1-7
[6]CCE-CNMA Consortium. CCE-CNMA: an integration platform for distributedmanufacturing applications [M]. Berlin, Germany: Springer-VerIag,1995
[7]Shang H, Zhao Z. Thorn R. Implementing Manufacturing Message Specifications (MMS)within collaborative virtual environments over the Internet[J]. International Journal ofComputer Integrated Manufacturing,2003,16(2):112-127
[8]Weston R H. Steps towards enterprise-wide integration: a definition of need andfirst-generation open solutions [J]. International Journal of Production Research,1993,31(9):2235-2254
[9]Wilson M, Aguiar C, Edwards J M. Achieving manufacturing business integration throughthe combined formalisms of CIMOSA and Petri nets [J]. International Journal ofProduction Research,1999,37(8):1767-1786
[10]Richard W. Model-driven, component-based approach to reconfiguring manufacturingsoftware systems [J]. International Journal of Operations&Production Management,1999,19(8):834-855
[11]http://www-cdr.Stanford.edu/CDR/index.php/Main/HomePage
[12]http://www.darpa.mil/dso/textonly/trans/agile.html
[13]McFarlan D, Cambridge supply networks activities [J]. The strategic and operationalmanagement of manufacturing and technology,2004
[14]Qiu R G. Manufacturing grid: a next generation manufacturing model [C]. Proceeding ofIEEE International Conference on Systems, Man and Cybernetics, Hague Netherlands,2004,5:4667-4672
[15]Li D. Business grid and intelligent supply chains e-Business group management [C].LNCS3170.2004,4
[16]范玉顺.工作流管理技术基础：实现企业业务过程重组、过程管理与业务过程自动化的核心技术[M].北京:清华大学出版社,施普林格出版社,2001
[17]刘胜,黄河,刘飞.陶瓷产品网络化销售和定制系统设计研究[J].计算机集成制造系统,2002,8(4):303-305,325
[18]杨明,张冰,马萍,等. DIS系统测试-评估-协同工作集成平台研究[J].系统仿真学报,2002,14(l):63-66
[19]严隽薇,王坚,戴毅茹.面向网络化制造ASP平台工具构件与集成技术[J].制造业自动化,2004,26(l):48-51
[20]蔡铭,林兰芬,陈刚,等.网络化制造环境中制造资源的智能发现技术研究[J].计算机集成制造系统,2003,9(7):589-594
[21]朴杰,朱云龙.网格技术在虚拟企业中的应用研究[J].计算机集成制造系统,2005,11(7):1019-1023
[22]Fan Y, Zhao D, Zhang L, et al. Manufacturing grid: needs, concept, andarchitecture[M]//Grid and Cooperative Computing. Springer Berlin Heidelberg,2004:653-656.
[23]温浩宇,任小龙,徐国华.制造网格的搜索算法研究[J].中国机械工程,2004,15(22):2014-2017
[24]刘丽兰,蔡红霞,俞涛.制造网格基础、原理与技术[M].上海:上海大学出版社,2008
[25]曾小青,高阳. ERP生产计划新思路基于协同制造网格的高级计划系统[J].科技进步与对策.2005,5:103-105
[26]张倩,齐德昱.面向服务的云制造协同设计平台[J].华南理工大学学报(自然科学版),2011,39(12):75-81
[27]云计算[EB/OL].http://zh.wikipedia.org/wiki/%E9%9B%B2%E7%AB%AF%E9%81%8B%E7%AE%97
[28]Google App Engine API [EB/OL].http://www.programmableweb.com/api/google-app-engine
[29]IBM Blue Cloud [EB/OL]. http://www.ibm.com/ibm/cloud/
[30]Amazon Elastic Compute Cloud (Amazon EC2)[EB/OL]. http://aws.amazon.com/ec2
[31]Windows Azure [EB/OL]. http://www.windowsazure.com/zh-cn/
[32]Keahey K, Figueiredo R, Fortes J, et al. Science clouds: Early experiences in cloudcomputing for scientific applications[C]. In Proc of Workshop on Cloud Computing andits Applications,2008
[33]刘鹏.云计算技术基础[M].2版.北京:电子工业出版社,2011
[34]陈康,郑纬民.云计算：系统实例与研究现状[J].软件学报,2009,20(5):1337-1348
[35]李亚琼,宋莹,黄永兵.一种面向虚拟化云计算平台的内存优化技术[J].计算机学报,2011,34(4):684-693
[36]方巍,文学志,潘吴斌,等.云计算：概念、技术及应用研究综述[J].南京信息工程大学学报(自然科学版),2012,4(4):351-361
[37]赛迪网.中国云计算产业发展白皮书[R].北京：赛迪网赛迪顾问,2011
[38]李伯虎,张霖,任磊,等.再论云制造[J].计算机集成制造系统,2011,17(3):449-457
[39]何积丰. Cyber Physical Systems [J].中国计算机学会通讯,2010,6(1):25-29
[40]林峰,舒少龙.赛博物理系统发展综述[J].同济大学学报(自然科学版),2010,38(8):1243-1248
[41]Tan Y, Goddard S. Pérez L C. A prototype architecture for cyber-physical systems [J],ACM SIGBED Review,2008,5(1):1-2
[42]王中杰,谢璐璐.信息物理融合系统研究综述[J].自动化学报,2011,37(10):1157-1166
[43]EVANS-PUGHE C. Europe researches embedded systems with ARTEMIS [EB/OL].http://www.electronicsweekly.com/Articles/2006/05/15/38622/Europe-researches-embed-ded-systems-with-ARTEMIS.html,2010-03-21
[44]Krogh B H, Lee E, Lee I, et al. Cyber-Physical Systems, Executive Summary[J], CPSSteering Group, Washington DC,2008
[45]中国国家自然科学基金委员会.2010项目指南：重点项目[EB/OL].http://www.nsfc.gov.cn/nsfc/cen/xmzn/2010xmzn/02/06.html,2010-03-21.
[46]中华人民共和国科学技术部国家科技计划项目申报中心.国家重点基础研究发展计划、国家重大科学研究计划2010年度重要支持方向[EB/OL]. http://program.mo-st.gov.cn/htmledit/E9ED307C-D6A1-81D7-EE32-8C09D9FDEDAA.html,2010-03-22
[47]Cyber-Physical Systems Group [Online]. available: http://www.cpschina.org,2011-11-13
[48]李伟平,林慧苹,莫同,等.云制造中的关键技术分析[J].制造业自动化,2011,33(1):7-10
[49]李伯虎,柴旭东,侯宝存,等.一种基于云计算理念的网络化建模与仿真平台——“云仿真平台”[J].系统仿真学报,2009,21(17):5292-5299
[50]Zhang L, Guo H, Tao F, et al. Flexible management of resource service composition incloud manufacturing[C].2010IEEE International Conference on Industrial Engineeringand Engineering Management (IEEM '10). Macao: IEEE Computer Society,2010:2278-2282
[51]Cheng Y, Tao F, Zhang L, et al. Study on the utility model and equilibrium of resourceservice transaction in cloud manufacturing[C].2010IEEE International Conference onIndustrial Engineering and Engineering Management (IEEM '10). Macao: IEEE ComputerSociety,2010:2298-2302
[52]张霖,罗永亮,陶飞,等.制造云构建关键技术研究[J].计算机集成制造系统,2010,16(11):2510-2520
[53]任磊,张霖,张雅彬,等.云制造资源虚拟化研究[J].计算机集成制造系统,2011,17(3):511-518
[54]陶飞,张霖,郭华,等.云制造特征及云服务组合关键问题研究[J].计算机集成制造系统,2011,17(3):477-486
[55]李春泉,尚玉玲,胡春杨,等.基于K－最短路算法的云制造多粒度访问控制技术[J].计算机应用,2011,31(9):2356-2358,2381
[56]马翠霞,任磊,滕东兴,等.云制造环境下的普适人机交互技术[J].计算机集成制造系统,2011,17(3):504-510
[57]贺东京,宋晓,王琪,等.基于云服务的复杂产品协同设计方法[J].计算机集成制造系统,2011,17(3):533-539
[58]徐岩,李强,秦岩,等.基于云制造的模具协同设计与制造模式探析[J].机械设计与制造,2012,(2):247-249
[59]Liu N, Li X, Wang Q. A resource&capability virtualization method for cloudmanufacturing systems[C]. IEEE International Conference on Systems, Man, andCybernetics (SMC),2011:1003-1008
[60]Wu L. Resource virtualization model in cloud manufacturing[J]. Advanced MaterialsResearch,2011,143:1250-1253
[61]陈琨,王东勃,王颖慧,等.云制造软资源封装研究[J].中国制造业信息化,2012,41(5):58-63
[62]刘士军,曲本科,武蕾,等.自组织云制造资源聚集框架与多维属性区间搜索方法研究[J].计算机辅助设计与图形学学报,2012,24(3):299-307
[63]汪卫星,刘飞.云制造资源的一种发现机制[J].广西大学学报：自然科学版.2012,37(2):323-327
[64]Wang W, Liu F. The research of cloud manufacturing resource discovery mechanism [C].Proceedings of the7th International Conference on Computer Science&Education(ICCSE). Melbourne, Australia,2012:188-191
[65]Zhang W, Zhang S, Qi F, et al. Self-organized p2p approach to manufacturing servicediscovery for cross-enterprise collaboration[J]. IEEE Transactions on Systems, Man, andCybernetics: Systems, in press,2013
[66]Lartigau J, Nie L, Xu X, et al. Scheduling methodology for production services in CloudManufacturing[C]. Service Sciences (IJCSS),2012International Joint Conference on.IEEE,2012:34-39
[67]付伟.云制造若干关键技术研究及其原型系统初步开发[D].浙江:浙江大学.2012
[68]Nassehi A, Newman S T, Xu X W, et al. Toward interoperable CNC manufacturing[J].International Journal of Computer Integrated Manufacturing,2008,21(2):222-230
[69]Mokhtar A, Houshmand M. Introducing a roadmap to implement the universalmanufacturing platform using axiomatic design theory[J]. International Journal ofManufacturing Research,2010,5(2):252-269
[70]Suh S H, Shin S J, Yoon J S, et al. UbiDM: A new paradigm for product design andmanufacturing via ubiquitous computing technology[J]. International Journal of ComputerIntegrated Manufacturing,2008,21(5):540-549
[71]Wang X V, Xu X W. DIMP: an interoperable solution for software integration and productdata exchange[J]. Enterprise Information Systems,2012,6(3):291-314
[72]Mclaughlin P, Duca A, Burd M. Cloud computing for a manufacturing executionsystem[P]. US Patent: US20100256794A1,2010-07-10
[73]张霖,郭华,陶飞.一种面向云制造系统的资源服务组合柔性量测和提高方法[P].CN:101958917A,2011-01-26
[74]金世杰,赵问道. CDN网络路由技术[J].计算机应用研究,2003,8(1):80-82
[75]Chinacache [EB/OL]. http://www.chinacache.com
[76]Saroiu S, Gummadi K P, Gribble S D. Measuring and analyzing the characteristics ofNapster and Gnutella hosts [J]. Multimedia systems,2003,9(2):170-184
[77]Stoica I, Morris R, Karger D, et al. Chord: A scalable peer-to-peer lookup service forinternet applications[C]. Proceeding of the2001Conference on Applications,Technologies, Architectures, and Protocols for Computer Communications. New York:ACM Press,2001:149-160
[78]Ratnasamy S, Francis P, Handley M, et al. A scalable content-addressable network [C].Proceedings of the2001Conference on Applications, Technologies, Architectures, andProtocols for Computer Communications. New York: ACM Press,2001:161-172
[79]Rowstron A I T, Druschel P. Pastry: Scalable, decentralized object location, and routingfor large-scale peer-to-peer systems[C]. Proceedings of the IFIP/ACM InternationalConference on Distributed Systems Platforms. London: Springer,2001:329-350
[80]Zhao B Y, Huang L, Stribling J, et al. Tapestry: A resilient global-scale overlay for servicedeployment [J]. IEEE Journal on Selected Areas in Communications,2004,22(1):41-53
[81]Wang Y, Yun X, Li Y. Analyzing the characteristics of gnutella overlays[C]. FourthInternational Conference on Information Technology. IEEE,2007:1095-1100
[82]Leibowitz N, Ripeanu M, Wierzbicki A. Deconstructing the kazaa network[C].Proceedings of The Third IEEE Workshop on Internet Applications. IEEE,2003:112-120
[83]Baset S A, Schulzrinne H. An analysis of the skype peer-to-peer internet telephonyprotocol[J]. arXiv preprint cs/0412017,2004
[84]Stutzbach D, Rejaie R. Characterizing the two-tier gnutella topology[J]. ACMSIGMETRICS Performance Evaluation Review,2005,33(1):402-403
[85]Chu Y, Rao S G, Seshan S, et al. A case for end system multicast[J]. IEEE Journal onSelected Areas in Communications,2002,20(8):1456-1471
[86]Ratnasamy S, Handley M, Karp R, et al. Application-level multicast usingcontent-addressable networks [J]. Networked Group Communication,2001:14-29
[87] Zhuang S Q, Zhao B Y, Joseph A D, et al. Bayeux: An architecture for scalable andfault-tolerant wide-area data dissemination[C]. Proceedings of the11th internationalworkshop on Network and operating systems support for digital audio and video. NewYork, NY, USA: ACM,2001:11-20
[88]Castro M, Druschel P, Kermarrec A M, et al. SCRIBE: A large-scale and decentralizedapplication-level multicast infrastructure [J]. Selected Areas in Communications, IEEEJournal on,2002,20(8):1489-1499
[89]Padmanabhan V N, Wang H J, Chou P A, et al. Distributing streaming media contentusing cooperative networking[C]. Proceedings of the12th international workshop onNetwork and operating systems support for digital audio and video. ACM,2002:177-186
[90]Castro M, Druschel P, Kermarrec A M, et al. SplitStream: high-bandwidth multicast incooperative environments[C]. ACM SIGOPS Operating Systems Review. New York, NY,USA: ACM,2003:298-313
[91] Jannotti J, Gifford D K, Johnson K L, et al. Overcast: reliable mullticasting with anoverlay network[C]. Proceedings of the4th conference on Symposium on OperatingSystem Design&Implementation. California, U S,2000:14-14
[92]Wagenknecht G, Anwander M, Braun T. SNOMC: An overlay multicast protocol forwireless sensor networks[C].20129th Annual Conference on Wireless On-demandNetwork Systems and Services (WONS). IEEE,2012:75-78
[93]Klemm A, Lindemann C, Waldhorst O P. A special-purpose peer-to-peer file sharingsystem for mobile ad hoc networks[C].2003IEEE58th Vehicular Technology Conference.IEEE,2003:2758-2763
[94]Castro M C, Villanueva E, Ruiz I, et al. Performance evaluation of structured p2p overwireless multi-hop networks[C]. Sensor Technologies and Applications,2008.SENSORCOMM'08. Second International Conference on. IEEE,2008:796-801
[95]Ali M, Uzmi Z A. CSN: A network protocol for serving dynamic queries in large-scalewireless sensor networks[C]. Second Annual Conference on Communication Networksand Services Research. IEEE,2004:165-174
[96]Heinzelman W R, Kulik J, Balakrishnan H. Adaptive protocols for informationdissemination in wireless sensor networks[C]. Proceedings of the5th annual ACM/IEEEinternational conference on Mobile computing and networking. ACM,1999:174-185
[97]Andersen D, Balakrishnan H, Kaashoek F, et al. Resilient overlay networks [J]. ACMSIGCOMM Computer Communication Review,2002,32(1):66-66
[98]虚拟专用网络[EB/OL]. http://baike.baidu.com/view/480950.htm?fromId=19735
[99]Duan Z, Zhang Z L, Hou Y T. Service overlay networks: SLAs, QoS and bandwidthprovisioning [J]. IEEE/ACM Transactions on Networking (TON),2003,11(6):870-883
[100]Chen L, Deng H, Deng Q, et al. Framework of grid manufacturing [J]. TSinghua Seienceand Technology,2004,9(3):327-330
[101]Chen L, Deng H, Deng Q, et al. A research on the framework of grid manufacturing [M].Grid and Cooperative Computing. Springer Berlin Heidelberdg,2004:19-25
[102]付景枝.制造网格的体系结构及其资源管理技术[D].南京:南京理工大学,2007
[103]刘士军.制造网格架构与制造资源协同管理技术[D].济南:山东大学,2006
[104]刘丽兰.制造网格及其基于QoS的资源管理系统研究[D].上海:上海大学,2004
[105]陈庆新,田文生,陈新,等.特许连锁模式下的模具制造网格系统架构[[J].计算机集成制造系统,2003,9(7):595-600
[106]Zheng X, Chen D, Lu L. Research of architecture for grid manufacturing [C].Proceedings of the9th International Conference on Computer Supported CooperativeWork in Design. Coventry, UK,2005:345-349
[107]李春泉. SMT产品制造网格若干关键技术研究[D].上海:上海大学,2007
[108]Ning F, Zhou W, Zhang F, et al. The architecture of cloud maufacturing and its keytechnologies research[C]. Proceedings of IEEE International Conference on CloudComputing and Intelligence Systems. Piscataway, N.J., USA: IEEE Computer Society,2011:259-263
[109]李春泉,尚玉玲,胡春杨.云制造的体系结构及其关键技术研究[J].组合机床与自动化加工技术,2011,(7):104-107,112
[110]程武山,朱明年.云制造——先进制造信息化[J].系统仿真学报,2011,23(10):2258-2262,2268
[111]范文慧,肖田元.基于联邦模式的云制造集成体系架构[J].计算机集成制造系统,2011,17(3):469-476
[112]战德臣,赵曦滨,王顺强,等.面向制造及管理的集团企业云制造服务平台[J].计算机集成制造系统,2011,17(3):487-494
[113]尹超,黄必清,刘飞,等.中小企业云制造服务平台共性关键技术体系[J].计算机集成制造系统,2011,17(3):495-503
[114]李强,秦波,包柏峰.基于云制造的模具协同制造模式探讨[J].锻压技术,2011,36(3):140-143
[115]李波,张国军,施松新.支持协作的模具行业云制造平台及其关键技术[J].计算机集成制造系统,2012,18(7):1620-1626
[116]顾新建,黄沈权,陈芨熙,等.模具行业需求驱动的云制造服务平台[J].计算机集成制造系统,2012,18(7):1650-1657
[117]齐德昱,齐启蒙.基于形式领域融合的计算模型[P]. CN:200910040498.3,2009-11-18
[118]罗彬.格件的Web接口及无线会话的设计与实现[D].广东:华南理工大学,2011
[119]潘巍.格件横向融合器及其类库的设计与实现[D].广东:华南理工大学,2010
[120]侯闯.云制造：摸不着？[J].中国制造业信息化,2010,(6):14-17
[121]张倩,齐德昱.公共制造云服务平台架构及其支撑技术研究[J].计算机应用研究,2013,30(8):2266-2268
[122]Kjellberg T, Bohlin M. Design of a manufacturing resource information system [J].CIRP Annals-Manufacturing Technology,1996,45(1):149-152
[123]Case K. Using a design by features CAD system for process capability modeling [J].Computer Integrated Manufacturing System,1994,7(1):39-49
[124]Feng C X, Kusiak A. Constraint-based design of parts [J]. Computer-Aided Design,1995,27(5):343-352
[125]王耀.基于WSRF的制造网格资源封装技术研究[D].武汉:武汉理工大学,2009
[126]武蕾.制造网格中资源虚拟化方法研究与应用[D].济南:山东大学,2008
[127]劭新宇,李培根. CIM及并行工程中的设备环境建模[J].华中理工大学学报,1995,23(2):14-17
[128]陶飞.制造网格资源服务优化配置理论与应用研究[D].武汉:武汉理工大学,2008
[129]盛步云,李永锋,丁毓峰,等.制造网格中制造资源的建模[J].中国机械工程,2006,17(13):1375-1380
[130]石胜友,莫蓉,杨海成,等.制造网格环境下的资源建模研究[J].计算机工程与设计,2006,27(16):2925-2928
[131]Hu Y, Tao F, Zhao D, et al. Manufacturing grid resource and resource service digitaldescription [J]. The International Journal of Advanced Manufacturing Technology,2009,44(9-10):1024-1035
[132]罗丹,姜建华,盛步云,等.制造网格中基于语义的服务发现技术及应用[J].武汉理工大学报,2008,30(8):53-56
[133]李瑞芳,刘泉,徐文君.云制造装备资源感知与接入适配技术[J].计算机集成制造系统,2012,18(007):1547-1553
[134]朱李楠,赵燕伟,王万良.基于RVCS的云制造资源封装、发布和发现模型[J].计算机集成制造系统,2012,18(008):1829-1838
[135]姚锡凡,金鸿,徐川,等.云制造资源的虚拟化与服务化[J].华南理工大学学报（自然科学版）,2013,41(3):1-7
[136]薛建勋.云制造资源语义描述与建模[J].机械设计与制造,2013,(1):248-253
[137]百科. Web Service [EB/OL]. http://baike.baidu.com.cn/view/67105.htm?fromId=157153
[138]张倩,齐德昱.云制造资源服务的组织与发现机制[J].华南理工大学学报（自然科学版）,2013,41(9):87-94
[139]Indyk P, Motwani R. Approximate nearest neighbor: towards removing the curse ofdimensionality [C]. Proceedings of the30th annual ACM symposium on Theory ofcomputing. New York: ACM Press,1998:604–613
[140]Charikar M S. Similarity estimation techniques from rounding algorithms[C].Proceedings of the34th annual ACM symposium on Theory of computing. New York:ACM Press,2002:380-388
[141]丘景.格件横向融合引擎的设计与实现[D].广东:华南理工大学,2009
[142]张媛.可扩展数据流框架的应用模型描述及可视化建模工具的实现[D].广东:华南理工大学,2008
[143]陈国锋.格件的数据处理支撑的设计与实现[D].广东:华南理工大学,2011
[144]De Alfaro L, Henzinger T A. Interface automata [C]. Proceedings of9th Symposium onFoundations of Software Engineering. New York: ACM Press,2001:109-120
[145]Java API for XML Web Services (JAX-WS) Overview [EB/OL].http://jax-ws.java.net/nonav/2.2.3/docs/index.html
[146]徐岩,李强,秦岩,等.基于云制造的模具协同设计与制造模式探析[J].机械设计与制造,2012,(02):247-249
[147]李慧芳,董训,宋长刚.制造云服务智能搜索与匹配方法[J].计算机集成制造系统,2012,18(007):1485-1493
[148]尹超,夏卿,黎振武.基于OWL-S的云制造服务语义匹配方法[J].计算机集成制造系统,2012,18(007):1494-1502
[149]张金广,李锋刚,张磊.云制造背景下的服务匹配算法[J].计算机技术与发展,2013,23(3):41-44
[150]高一聪,冯毅雄,谭建荣,等.制造资源耦合映射与模糊匹配技术研究[J].计算机辅助设计与图形学学报,2012,24(3):290-298
[151]Márk J, Alberto M, Gian P J, et al. The Peersim simulator [EB/OL]. http://peersim.sf.net
[152]李金忠,夏洁武,唐卫东,等.基于QoS的Web服务选择算法综述[J].计算机应用研究,2010,27(10):3622-3627,3638
[153]Zhou C, Chia L T, Lee B S. Semantics in service discovery and QoS measurement [J]. ITprofessional,2005,7(2):29-34
[154]Wang P. QoS-aware web services selection with intuitionistic fuzzy set underconsumer’s vague perception[J]. Expert Systems with Applications,2009,36(3):4460-4466
[155]Wang P, Chao K M, Lo C C. On optimal decision for QoS-aware composite serviceselection [J]. Expert Systems with Applications,2010,37(1):440-449
[156]Zhang Y, Zhang S S, Han S Q. A new methodology of QoS evaluation and serviceselection for ubiquitous computing [J]. Lecture Notes in Computer Science,2006:69-80
[157]Chen M F, Tzeng G H, Ding C G. Fuzzy MCDM approach to select service provider[C].The12th IEEE International Conference on Fuzzy Systems. St. Louis, MO, USA: Instituteof Electrical and Electronics Engineers Inc,2003:572-577
[158]Tao F, Zhao D M, Zhang L. Resource service optimal-selection based on intuitionisticfuzzy set and non-functionality QoS in manufacturing grid system [J]. Knowledge andInformation Systems,2010,25(1):185-208
[159]张倩,齐德昱.基于fuzzy TOPSIS的资源服务优化选择算法[J].计算机应用研究,2012,29(12):4522-4526
[160]Hwang C L, Yoon K. Multiple attribute decision making: methods and applications: astate-of-the-art survey [M]. Berlin, New York: Springer-Verlag,1981
[161]Chen C T. Extensions of the TOPSIS for group decision-making under fuzzyenvironment [J]. Fuzzy sets and systems,2000,114(1):1-9
[162]Resconi G, Kovalerchuk B. Agents’ model of uncertainty[J]. Knowledge and informationsystems,2009,18(2):213-229
[163]赵海燕,曹健,张友良.一种群体评价一致性合成方法[J].系统工程理论与实践,2000,(07):52-57
[164]Wang P, Chao K M, Lo C C, et al. QoS-aware service selection under consumer’sreputation [C]. Proceedings of IEEE International Conference on e-Business Engineering.Washington DC: IEEE Computer Society,2008:627-632
[165]Chen S J, Chen S M. A new method to measure the similarity between fuzzynumbers[C]. Proceedings of the10th IEEE International Conference on Fuzzy Systems.2001:1123-1126
[166]Tao F, Hu Y F, Zhao D M, et al. Study on resource service match and search inmanufacturing grid system [J]. The International Journal of Advanced ManufacturingTechnology,2009,43(3-4):379-399
[167]Zhang Q, Qi D Y. Application of fuzzy TOPSIS in resource service optimal-selection [J].Journal of Computational Information Systems,2012,8(3):1285-1295
[168]Chou C. The canonical representation of multiplication operation on triangular fuzzynumbers [J]. Computers&Mathematics with Applications,2003,45(10):1601-1610
[169]Yuan J, Skibniewski M J, Li Q, et al. Performance objectives selection model inpublic-private partnership projects based on the perspective of stakeholders [J]. Journal ofManagement in Engineering,2009,26(2):89-104
[170]Lo C C, Chen D Y, Tsai C F, et al. Service selection based on fuzzy TOPSIS method[C].2010IEEE24th International Conference on Advanced Information Networking andApplications Workshops,2010:367-372
[171]Xiong P, Fan Y. QoS-aware web service selection by a synthetic weight [C]. FourthInternational Conference on Fuzzy Systems and Knowledge Discovery,2007:632-637