服务生态系统中虚拟服务资源的信任及其选择研究

发布时间：2018-04-29 08:28

本文选题：服务生态系统 + 虚拟服务资源　；参考：《安徽工程大学》2014年硕士论文

【摘要】：随着网络和软件技术的发展,服务资源正逐渐脱离传统意义上的实体服务资源,转变为具有分布式服务支持属性的虚拟服务资源,形成服务生态系统。服务生态系统具有开放性、动态性及资源共享性等特征,面向海量的资源和服务,服务提供者和服务请求者在没有预先定义的授权关系和对服务质量未知的情况下,交互双方必须在一些未知因素下做出一个合理安全的规划决策,用户在面临更多选择机会的同时,也面临着如何识别和选择一个既能达到安全和可靠的目的,又能满足其个性偏好的服务资源选择问题。因此,信任是虚拟服务环境下虚拟服务进行有效交互的基本前提和必要基础。在服务生态系统中,大量虚拟服务资源真分布于因特网的资源池,面对用户的个性化需求,需要快速有效地选择出用户需要的服务资源,构建应用服务系统。针对上述问题,本文主要工作包括如下几点: 1.首先分析服务生态系统、虚拟服务资源、服务系统的体系结构,以及服务信任的概念内涵。 2.通过对信任特征的描述给出了用户对信任的信任评价指标；基于用户行为相似度评估,构建信任评估模型(SOC-TPM)和服务资源的信任机制。 3.针对标准遗传算法(GA)易陷入局部最优,粒子群算法(PSO)过早收敛导致种群多样性丧失和模拟退火算法(SA)参数过分依赖于一些启发式准则的缺点,提出一种基于信任影响因素的改进遗传算法(AGA)以实现对具有多维信任属性的服务的选择。 4.通过实验仿真验证了AGA算法的可行性和优越性。
[Abstract]:With the development of network and software technology, service resources are becoming virtual service resources with distributed service support attributes, and form service ecosystem. Service ecosystem has the characteristics of openness, dynamic and resource sharing. It is oriented to massive resources and services, and service providers and service requesters have no pre-defined authorization relationship and unknown quality of service. The interactive parties must make a reasonable and safe planning decision under some unknown factors. Users are faced with more choices, but also how to identify and select a safe and reliable target. The choice of service resources which can satisfy their personality preference. Therefore, trust is the basic premise and necessary foundation for virtual services to interact effectively in virtual service environment. In the service ecosystem, a large number of virtual service resources are distributed in the resource pool of the Internet. In the face of the individual needs of the users, it is necessary to quickly and effectively select the service resources needed by the users and construct the application service system. In view of the above problems, the main work of this paper includes the following: 1. Firstly, the concept of service ecosystem, virtual service resource, service system architecture and service trust are analyzed. 2. Based on the similarity evaluation of user behavior, the trust evaluation model (SOC-TPM) and the trust mechanism of service resources are constructed. 3. In order to solve the problem that standard genetic algorithm (GA) is prone to fall into local optimum, the premature convergence of particle swarm optimization (PSO) results in the loss of population diversity and the dependence of simulated annealing algorithm (SA) parameters on some heuristic criteria. An improved genetic algorithm (AGA) based on trust influencing factors is proposed to select services with multidimensional trust attributes. 4. The feasibility and superiority of AGA algorithm are verified by simulation.
【学位授予单位】：安徽工程大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：TP393.09

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