基于QoS关键属性的交通信息服务优化组合方法研究与实现
发布时间：2018-10-04 20:28
【摘要】：随着交通行业的快速发展，传统的交通诱导方式及信息服务发布方式的局限性越来越明显，已经无法满足人们的出行信息服务需求。如何将交通信息进行整合以及向用户提供及时可靠的个性化信息服务成为现今智能交通系统研究的方向之一。面向服务的体系结构为交通信息服务提供了思路。由于服务的松耦合、复用性等特点，面向服务的体系结构的优势越来越明显。但在交通信息服务领域，由于交通环境及信息服务的复杂性，其面向服务的应用研究还面临许多问题。本文从理论研究入手仅针对交通信息服务的系统流程构建方法以及信息服务的优化组合方法进行探究，主要研究了以下内容： （1）从服务的概念入手，根据应用背景给出了交通信息服务的定义以及交通信息服务的特征，然后依据各研究机构对服务组合的描述及交通环境的特点，给出了交通信息服务组合的定义以及交通信息服务组合具备的特征，并在描述的基础上提出了交通信息服务的QoS关键属性指标模型及数据处理技术。 （2）以构建交通信息服务组合流程为目的，描述了服务组合模板的概念，给出了服务组合模板的构造流程，并分析目前主流的服务组合方法的主要分类及各自的优缺点，然后提出了一种基于工作流技术和语义匹配技术的混合服务组合方法用于服务组合的流程构建，并给出构造匹配算法。 （3）根据提出的服务组合方法给出服务组合系统的总体设计，包括系统的设计架构和工作流程。在优化算法上，根据交通信息服务的QoS关键属性指标模型，提出了基于综合评判法的二级模糊矩阵评价算法，，详述了算法的步骤及计算过程，最后给出优化的匹配算法。 （4）对比本文提出的基于QoS关键属性的交通信息服务组合优化算法与传统的IO匹配算法，由仿真结果指出算法优势。 经过算法实现，结果表明：本文设计的服务组合优化算法在服务组合成功率和服务结果QoS上具有明显的优势。
[Abstract]:With the rapid development of the transportation industry, the limitations of the traditional traffic guidance and information service delivery methods are becoming more and more obvious, which can no longer meet the needs of people's travel information services. How to integrate traffic information and provide users with timely and reliable personalized information services has become one of the research directions of Intelligent Transportation system. The service-oriented architecture provides the train of thought for the traffic information service. Due to the loose coupling and reuse of services, the advantages of service-oriented architecture become more and more obvious. However, in the field of traffic information service, due to the complexity of traffic environment and information service, its service-oriented application still faces many problems. In this paper, the following contents are mainly studied: (1) starting with the concept of traffic information service, the method of constructing the system flow and the method of optimizing the composition of the information service are studied in this paper. The main contents of this paper are as follows: (1) starting with the concept of traffic information service, According to the application background, the definition of the traffic information service and the characteristics of the traffic information service are given, and then according to the description of the service composition and the characteristics of the traffic environment, The definition of traffic information service composition and the characteristics of traffic information service composition are given. Based on the description, the QoS key attribute index model and data processing technology of traffic information service are put forward. (2) in order to construct the traffic information service composition process, this paper describes the concept of the service composition template, gives the construction process of the service composition template, and analyzes the main classification of the current mainstream service composition methods and their respective advantages and disadvantages. Then a hybrid service composition method based on workflow technology and semantic matching technology is proposed for the process construction of service composition, and a matching algorithm is given. (3) according to the proposed service composition method, the overall design of the service composition system is given, including the design framework and workflow of the system. In the optimization algorithm, according to the QoS key attribute index model of traffic information service, a two-level fuzzy matrix evaluation algorithm based on comprehensive evaluation method is proposed. The steps and calculation process of the algorithm are described in detail. Finally, the optimized matching algorithm is given. (4) comparing the traffic information service combination optimization algorithm based on the key attributes of QoS and the traditional IO matching algorithm, the simulation results show the advantages of the algorithm. Through the implementation of the algorithm, the results show that the service composition optimization algorithm designed in this paper has obvious advantages in the success rate of service composition and the service result QoS.
【学位授予单位】：长安大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：U495
本文编号：2251769
[Abstract]:With the rapid development of the transportation industry, the limitations of the traditional traffic guidance and information service delivery methods are becoming more and more obvious, which can no longer meet the needs of people's travel information services. How to integrate traffic information and provide users with timely and reliable personalized information services has become one of the research directions of Intelligent Transportation system. The service-oriented architecture provides the train of thought for the traffic information service. Due to the loose coupling and reuse of services, the advantages of service-oriented architecture become more and more obvious. However, in the field of traffic information service, due to the complexity of traffic environment and information service, its service-oriented application still faces many problems. In this paper, the following contents are mainly studied: (1) starting with the concept of traffic information service, the method of constructing the system flow and the method of optimizing the composition of the information service are studied in this paper. The main contents of this paper are as follows: (1) starting with the concept of traffic information service, According to the application background, the definition of the traffic information service and the characteristics of the traffic information service are given, and then according to the description of the service composition and the characteristics of the traffic environment, The definition of traffic information service composition and the characteristics of traffic information service composition are given. Based on the description, the QoS key attribute index model and data processing technology of traffic information service are put forward. (2) in order to construct the traffic information service composition process, this paper describes the concept of the service composition template, gives the construction process of the service composition template, and analyzes the main classification of the current mainstream service composition methods and their respective advantages and disadvantages. Then a hybrid service composition method based on workflow technology and semantic matching technology is proposed for the process construction of service composition, and a matching algorithm is given. (3) according to the proposed service composition method, the overall design of the service composition system is given, including the design framework and workflow of the system. In the optimization algorithm, according to the QoS key attribute index model of traffic information service, a two-level fuzzy matrix evaluation algorithm based on comprehensive evaluation method is proposed. The steps and calculation process of the algorithm are described in detail. Finally, the optimized matching algorithm is given. (4) comparing the traffic information service combination optimization algorithm based on the key attributes of QoS and the traditional IO matching algorithm, the simulation results show the advantages of the algorithm. Through the implementation of the algorithm, the results show that the service composition optimization algorithm designed in this paper has obvious advantages in the success rate of service composition and the service result QoS.
【学位授予单位】：长安大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：U495
【参考文献】
相关期刊论文 前6条
1 刘家茂,顾宁,施伯乐;基于Mediator的Web Services无回溯反向链动态合成[J];计算机研究与发展;2005年07期
2 蒋伟进;王璞;;基于MAS市场机制的动态计算资源调度模型研究[J];计算机研究与发展;2007年01期
3 李曼,王大治,杜小勇,王珊;基于领域本体的Web服务动态组合[J];计算机学报;2005年04期
4 刘小洋;伍民友;;车联网:物联网在城市交通网络中的应用[J];计算机应用;2012年04期
5 吕玉明;王红;;基于QOS计算的web服务匹配研究[J];科技信息(科学教研);2007年23期
6 全立新;;基于综合评价的Web服务QoS建模[J];科学技术与工程;2008年18期
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