面向移动互联网的开放服务技术架构及若干关键技术研究
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摘要
移动互联网在打破原有电信网络孤立、封闭的构建格局基础上,与开放的互联网络深入融合。移动互联网的网络结构、服务能力、数据资源向着开放共享、按需分配、快速响应的趋势发展。以服务计算为核心的分布式计算技术的发展,突破了移动互联网在计算能力、存储能力上存在的局限,使得移动系统/应用在设计和构建过程中能够解耦于底层网络的拓扑关系和终端平台的异构,大幅度提升服务系统的开发效率,适应业务需求的灵活多变。
面向服务的计算是以服务个体为基本单元,利用服务能力的开放性,通过组件化复用、流程化编排和资源的灵活分配,进而构建出多样化、个性化的分布式应用/系统。移动互联网开放服务是以服务计算理论为基础,通过研究电信网和互联网基础能力融合,构件化服务开放,发现服务间的属性、关系、结构,实现架构的增量式扩展和应用的便捷化交付。当前研究的重点主要集中在服务能力开放、标准化服务描述、多属性服务选择、灵活服务编排、个性化服务推荐、资源型服务存储等方面。本论文旨在通过深入体系化的研究,解决如何在架构层面,提高移动互联网开放服务的开发效率,降低服务的运维和交付门槛；如何实现多QoS (Quality of Service)的开放服务选择,降低多维度、高空间下服务选择的复杂度；如何研究编排关系中开放服务群的网络化特征,实现服务网络的动态预测和安全保障；如何实现开放服务的主动Push模式,提高稀疏性下服务推荐的准确率；如何提高资源型服务开放资源的组织管理能力,解决海量资源的仓储瓶颈等问题。
本论文的主要创新点为：
(1)针对在移动互联网融合的网络环境、异构的终端平台中,系统／应用的开发效率低、运营门槛高、推广成本大,难以高效的响应海量移动用户的多样化、个性化需求的问题,本文提出了一种移动互联网开放服务架构(Open Service Architecture for Mobile Internet， OSAMI)。该框架作为研究移动互联网开放服务的基础,分别从网络侧和终端侧两方面进行设计,实现了流程化、构件化、开放式的技术架构,降低了模块间的耦合度,实现了功能的纵向复用和能力的横向延伸。本文设计了一种开放服务分布式缓存策略(Open Service Distributed Cache Policy, OSDCP),通过在“边缘节点”中设置服务缓存表和服务请求转发表,利用Token标示服务副本的状态及有效性,实现了服务缓存的检索与服务请求的转发,保证了服务副本间的一致性,并缩短了服务的平均响应时间约26.85%。(第二章,论文[3][8][15],标准规范[1][3])
(2)针对移动互联网中域内与域间网络基础设施、通信协议、接口形式等差异性,如何在众多提供相同功能的服务集合中,快速、准确地选择出匹配需求的开放服务的问题,本文构建了一种QoS层叠模型(Overlay QoS Model, O-QoS)并提出了基于QoS层叠模型的开放服务选择算法(Open Service Selection Algorithm, OSSA),该算法综合考量近30个QoS参数,通过降低QoS参数维度,缩小服务集空间,逐步细化优化范围,求得开放服务的最优解或次优解,提高了服务质量动态变化的适应能力,增加了基于QoS的开放服务选择的准确度,降低了多QoS参数服务选择算法的时间花费约28.43%。(第三章,论文[1][6][13],标准规范[2])
(3)针对移动互联网中开放服务数目不断增加,服务个体间编排关系复杂,服务群体间整体特征明显的问题,本文基于复杂网络理论,通过构建开放服务编排网络,发现了一种开放服务编排关系群体化特征(Open Service Orchestration Group Characteristics, OSOGC)。分析网络拓扑、度分布、聚类系数、平均最短路径、度匹配性、中心性等多个方面的群体化属性,发现开放服务编排关系具有集中式-Hub拓扑形态；度匹配性0.23,因此随着密度的增加将迁移进入更高的Hub；平均最短路径为1.75,因此服务发现和服务搜索的效率较高。该发现对于开放服务的联通性、有效性、强壮性保障,具有很高的理论指导价值。(第四章,论文[2][7][14],专利[1],标准规范[4])
(4)针对移动服务系统构建初期用户总量小、服务评价数量少,以及移动终端用户兴趣发生变化的问题,构建了一种基于反馈环的开放服务推荐模型(Feedback-Loop Service Recommend Model, FLSRM),通过基于特征预测的方法,形成了一种基于反馈模型的开放服务推荐算法(Open Service Recommend Algorithm, OSRA),有效解决了开放服务推荐过程中用户概念的动态偏移,并规避了服务推荐的稀疏性,提高了推荐准确率约4.17%-18.75%。(第五章,论文[4][12],专利[2])
(5)针对海量开放资源异构、零散、体积大的新特性,如何规范资源管理策略,提高资源查找效率,降低资源维护成本问题,构建了一种结构化资源对象模型(Structured Resource Obj ect Model, SROM),并基于该模型设计了一种开放资源透明仓储算法(Open Source Transparent Storage Algorithm, OSTSA),通过对资源对象标示进行散列、换算、拼接,形成了资源仓储路径,实现了存储路径无需维护、资源对象均匀分布。与关系型数据库存储相比,.采用资源对象模型SROM进行资源管理在百万级资源属性检索方面,效率约提高87.67%。(第六章,论文[9],专利[3])。
With the continued integration of telecommunications networks and the Internet, the service abilities for Mobile Internet open up and evolve further. The network architecture, service capabilities, data resources of Mobile Internet is toward open sharing, allocated on demand, fast response trends. The development of distributed computing technology as the core of service computing, takes into account the convergence of the mobile Internet structure and the diversity of the terminal environment. It makes the Design and construction of mobile systems/applications decouple from the topology relationship of underlying network and the heterogeneity of terminal platforms, greatly enhancing the development efficiency of service systems, flexibly adapt to business needs.
Service Computing bases on services as the basic elements, using the openness of service abilities, through the reuse of component-based, large-grained orchestration and flexible assembly, builds loosely coupled distributed applications on demand. Mobile Internet Open Service bases on Service Computing Theory, find the attributes, relationships, structure between services, by studying the integration of telecommunications network and Internet, the openness of component-based services, and achieve the Architecture incremental expansion and the facilitation delivery. The focus of the current study are the openness of service abilities, the Standardization of service description, multi-attribute selection, flexible service orchestration, personalized service recommend, resource-based service storage, and so on. This paper aims to study and resolve how to improve the efficiency of the development of the Mobile Internet Open Service at the architecture level, and reduce the threshold of service operation and delivery; How to achieve multi-QoS open service selection, reduce the complexity of service selection in the multi-dimensional, high spatial; How to study the network characteristics of open service orchestration relations groups, and achieve the dynamic prediction and security of the service network; How to implement open services active Push mode, and improve the recommended accuracy in service sparsity; How to improve the organization and management of the resource-based services open source, to solve the storage bottleneck of the massive resources.
The main innovations of this paper include:
(1) In the converged network environment and heterogeneous terminal platform for Mobile Internet, the problem is the low efficiency of systems/applications development, the high threshold of service operation, the service marketing cost, and difficult to efficient response to the massive diversified and personalized needs of mobile users. This paper has proposed the specific design of Open Service Architecture for Mobile Internet (OSAMI) on the network side and the terminal side. The Open Service Architecture for Mobile Internet has been the study basis of the Mobile Internet open services, achieved process-oriented, component-based, open technology architecture, reduced the degree of coupling between modules, and completed the longitudinal reuse of functions and the transversely extending of abilities. It has designed a Open Service Distributed Cache Policy (OSDCP), by setting the service cache table and the service request forwarding table in the edge node, and made Token mark the status and effectiveness of service copy, to achieve the service caching retrieve and the forwarding of service requests, ensuring the consistency between the service copy, and shortening the average response time approximately26.85%.(In chapter2, Papers[3][8][15], Standards[1][3])
(2) In the Mobile Internet, network infrastructure, communication protocols, interface form of domain and inter-domain are different. The problem is How to select the open service fast and accurately, which matches the user demand in the same functional service sets. This paper has built an Overlay QoS Model (O-QoS) and a Open Service Selection Algorithm based on QoS Overlay Model (OSSA), into consideration of nearly30QoS parameters. The Algorithm has reduced the dimension of QoS parameters, narrowed the space of service sets, gradually refined the optimal range, and obtained the optimal solution or suboptimal solution of open service, improving service quality dynamic adaptability, increasing the accuracy of the open service selection based on QoS, reducing QoS parameters service selection algorithm time spent approximately28.43%.(In Chapter3, Papers[1][6][13], Standard [2])
(3) With the increasing number of Mobile Internet Open Services, the service orchestration relationship is complex, and service groups characteristics are significant. This paper has built a Service Orchestration Network, based on Complex Network Theory, and analyzed Network Topology, Degree Distribution, Clustering Coefficient, Average Shortest Path, Degree Assortativity, Betweenness Centrality, and so on. It has discovered that the Service Orchestration Network is a centralized Hub network; Degree Assortativity is approximately0.23, and the network will migrate into the higher Hub with increasing density; the average shortest path is1.75, therefore the higher the efficiency of service discovery and service search. The findings have a high value of theoretical guidance for the entire network connectivity, validity, strong protection, with.(In Chapter4, Papers[2][7][14], Patent[1],Standard [4])
(4) In the early time of mobile service system, the initial user total is small, service evaluation is a small number, and mobile end-users interest is in change. This paper has built a Feedback-Loop Service Recommend Model (FLSRM) by feature-based prediction method, formed a Open service recommendation algorithm based on feedback model (OSRA), effectively solved the dynamic offset of users concept in the process of open service recommended, avoided the sparsity of service recommended, and improved the recommendation accuracy rate about4.17%-18.75%.(In chapter5, Papers[4][12], Patent [2])
In the heterogeneous, fragmented, bulky massive open service resource, the problem is How to regulate the resource management strategies, improve the efficiency of resource lookups, reduced resource maintenance costs. This paper has built a Structured Resource Object Model (SROM), and designed an Open Resource Transparent Storage Algorithm (OSTSA) based on the model. It has formed a resource storage path, by hash, conversion, and splice, achieved storage path no maintenance, and resource objects evenly distributed. Compared with relational database storage, SROM has improved the efficiency by about87.67%, in the resource attribute retrieval of millions resource management.(In chapter6, Paper [9], Patent [3])
面向服务的计算是以服务个体为基本单元,利用服务能力的开放性,通过组件化复用、流程化编排和资源的灵活分配,进而构建出多样化、个性化的分布式应用/系统。移动互联网开放服务是以服务计算理论为基础,通过研究电信网和互联网基础能力融合,构件化服务开放,发现服务间的属性、关系、结构,实现架构的增量式扩展和应用的便捷化交付。当前研究的重点主要集中在服务能力开放、标准化服务描述、多属性服务选择、灵活服务编排、个性化服务推荐、资源型服务存储等方面。本论文旨在通过深入体系化的研究,解决如何在架构层面,提高移动互联网开放服务的开发效率,降低服务的运维和交付门槛；如何实现多QoS (Quality of Service)的开放服务选择,降低多维度、高空间下服务选择的复杂度；如何研究编排关系中开放服务群的网络化特征,实现服务网络的动态预测和安全保障；如何实现开放服务的主动Push模式,提高稀疏性下服务推荐的准确率；如何提高资源型服务开放资源的组织管理能力,解决海量资源的仓储瓶颈等问题。
本论文的主要创新点为：
(1)针对在移动互联网融合的网络环境、异构的终端平台中,系统／应用的开发效率低、运营门槛高、推广成本大,难以高效的响应海量移动用户的多样化、个性化需求的问题,本文提出了一种移动互联网开放服务架构(Open Service Architecture for Mobile Internet， OSAMI)。该框架作为研究移动互联网开放服务的基础,分别从网络侧和终端侧两方面进行设计,实现了流程化、构件化、开放式的技术架构,降低了模块间的耦合度,实现了功能的纵向复用和能力的横向延伸。本文设计了一种开放服务分布式缓存策略(Open Service Distributed Cache Policy, OSDCP),通过在“边缘节点”中设置服务缓存表和服务请求转发表,利用Token标示服务副本的状态及有效性,实现了服务缓存的检索与服务请求的转发,保证了服务副本间的一致性,并缩短了服务的平均响应时间约26.85%。(第二章,论文[3][8][15],标准规范[1][3])
(2)针对移动互联网中域内与域间网络基础设施、通信协议、接口形式等差异性,如何在众多提供相同功能的服务集合中,快速、准确地选择出匹配需求的开放服务的问题,本文构建了一种QoS层叠模型(Overlay QoS Model, O-QoS)并提出了基于QoS层叠模型的开放服务选择算法(Open Service Selection Algorithm, OSSA),该算法综合考量近30个QoS参数,通过降低QoS参数维度,缩小服务集空间,逐步细化优化范围,求得开放服务的最优解或次优解,提高了服务质量动态变化的适应能力,增加了基于QoS的开放服务选择的准确度,降低了多QoS参数服务选择算法的时间花费约28.43%。(第三章,论文[1][6][13],标准规范[2])
(3)针对移动互联网中开放服务数目不断增加,服务个体间编排关系复杂,服务群体间整体特征明显的问题,本文基于复杂网络理论,通过构建开放服务编排网络,发现了一种开放服务编排关系群体化特征(Open Service Orchestration Group Characteristics, OSOGC)。分析网络拓扑、度分布、聚类系数、平均最短路径、度匹配性、中心性等多个方面的群体化属性,发现开放服务编排关系具有集中式-Hub拓扑形态；度匹配性0.23,因此随着密度的增加将迁移进入更高的Hub；平均最短路径为1.75,因此服务发现和服务搜索的效率较高。该发现对于开放服务的联通性、有效性、强壮性保障,具有很高的理论指导价值。(第四章,论文[2][7][14],专利[1],标准规范[4])
(4)针对移动服务系统构建初期用户总量小、服务评价数量少,以及移动终端用户兴趣发生变化的问题,构建了一种基于反馈环的开放服务推荐模型(Feedback-Loop Service Recommend Model, FLSRM),通过基于特征预测的方法,形成了一种基于反馈模型的开放服务推荐算法(Open Service Recommend Algorithm, OSRA),有效解决了开放服务推荐过程中用户概念的动态偏移,并规避了服务推荐的稀疏性,提高了推荐准确率约4.17%-18.75%。(第五章,论文[4][12],专利[2])
(5)针对海量开放资源异构、零散、体积大的新特性,如何规范资源管理策略,提高资源查找效率,降低资源维护成本问题,构建了一种结构化资源对象模型(Structured Resource Obj ect Model, SROM),并基于该模型设计了一种开放资源透明仓储算法(Open Source Transparent Storage Algorithm, OSTSA),通过对资源对象标示进行散列、换算、拼接,形成了资源仓储路径,实现了存储路径无需维护、资源对象均匀分布。与关系型数据库存储相比,.采用资源对象模型SROM进行资源管理在百万级资源属性检索方面,效率约提高87.67%。(第六章,论文[9],专利[3])。
With the continued integration of telecommunications networks and the Internet, the service abilities for Mobile Internet open up and evolve further. The network architecture, service capabilities, data resources of Mobile Internet is toward open sharing, allocated on demand, fast response trends. The development of distributed computing technology as the core of service computing, takes into account the convergence of the mobile Internet structure and the diversity of the terminal environment. It makes the Design and construction of mobile systems/applications decouple from the topology relationship of underlying network and the heterogeneity of terminal platforms, greatly enhancing the development efficiency of service systems, flexibly adapt to business needs.
Service Computing bases on services as the basic elements, using the openness of service abilities, through the reuse of component-based, large-grained orchestration and flexible assembly, builds loosely coupled distributed applications on demand. Mobile Internet Open Service bases on Service Computing Theory, find the attributes, relationships, structure between services, by studying the integration of telecommunications network and Internet, the openness of component-based services, and achieve the Architecture incremental expansion and the facilitation delivery. The focus of the current study are the openness of service abilities, the Standardization of service description, multi-attribute selection, flexible service orchestration, personalized service recommend, resource-based service storage, and so on. This paper aims to study and resolve how to improve the efficiency of the development of the Mobile Internet Open Service at the architecture level, and reduce the threshold of service operation and delivery; How to achieve multi-QoS open service selection, reduce the complexity of service selection in the multi-dimensional, high spatial; How to study the network characteristics of open service orchestration relations groups, and achieve the dynamic prediction and security of the service network; How to implement open services active Push mode, and improve the recommended accuracy in service sparsity; How to improve the organization and management of the resource-based services open source, to solve the storage bottleneck of the massive resources.
The main innovations of this paper include:
(1) In the converged network environment and heterogeneous terminal platform for Mobile Internet, the problem is the low efficiency of systems/applications development, the high threshold of service operation, the service marketing cost, and difficult to efficient response to the massive diversified and personalized needs of mobile users. This paper has proposed the specific design of Open Service Architecture for Mobile Internet (OSAMI) on the network side and the terminal side. The Open Service Architecture for Mobile Internet has been the study basis of the Mobile Internet open services, achieved process-oriented, component-based, open technology architecture, reduced the degree of coupling between modules, and completed the longitudinal reuse of functions and the transversely extending of abilities. It has designed a Open Service Distributed Cache Policy (OSDCP), by setting the service cache table and the service request forwarding table in the edge node, and made Token mark the status and effectiveness of service copy, to achieve the service caching retrieve and the forwarding of service requests, ensuring the consistency between the service copy, and shortening the average response time approximately26.85%.(In chapter2, Papers[3][8][15], Standards[1][3])
(2) In the Mobile Internet, network infrastructure, communication protocols, interface form of domain and inter-domain are different. The problem is How to select the open service fast and accurately, which matches the user demand in the same functional service sets. This paper has built an Overlay QoS Model (O-QoS) and a Open Service Selection Algorithm based on QoS Overlay Model (OSSA), into consideration of nearly30QoS parameters. The Algorithm has reduced the dimension of QoS parameters, narrowed the space of service sets, gradually refined the optimal range, and obtained the optimal solution or suboptimal solution of open service, improving service quality dynamic adaptability, increasing the accuracy of the open service selection based on QoS, reducing QoS parameters service selection algorithm time spent approximately28.43%.(In Chapter3, Papers[1][6][13], Standard [2])
(3) With the increasing number of Mobile Internet Open Services, the service orchestration relationship is complex, and service groups characteristics are significant. This paper has built a Service Orchestration Network, based on Complex Network Theory, and analyzed Network Topology, Degree Distribution, Clustering Coefficient, Average Shortest Path, Degree Assortativity, Betweenness Centrality, and so on. It has discovered that the Service Orchestration Network is a centralized Hub network; Degree Assortativity is approximately0.23, and the network will migrate into the higher Hub with increasing density; the average shortest path is1.75, therefore the higher the efficiency of service discovery and service search. The findings have a high value of theoretical guidance for the entire network connectivity, validity, strong protection, with.(In Chapter4, Papers[2][7][14], Patent[1],Standard [4])
(4) In the early time of mobile service system, the initial user total is small, service evaluation is a small number, and mobile end-users interest is in change. This paper has built a Feedback-Loop Service Recommend Model (FLSRM) by feature-based prediction method, formed a Open service recommendation algorithm based on feedback model (OSRA), effectively solved the dynamic offset of users concept in the process of open service recommended, avoided the sparsity of service recommended, and improved the recommendation accuracy rate about4.17%-18.75%.(In chapter5, Papers[4][12], Patent [2])
In the heterogeneous, fragmented, bulky massive open service resource, the problem is How to regulate the resource management strategies, improve the efficiency of resource lookups, reduced resource maintenance costs. This paper has built a Structured Resource Object Model (SROM), and designed an Open Resource Transparent Storage Algorithm (OSTSA) based on the model. It has formed a resource storage path, by hash, conversion, and splice, achieved storage path no maintenance, and resource objects evenly distributed. Compared with relational database storage, SROM has improved the efficiency by about87.67%, in the resource attribute retrieval of millions resource management.(In chapter6, Paper [9], Patent [3])
引文
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