云计算环境下组合服务质量信任度评估研究

发布时间：2018-03-20 10:32

本文选题：云计算　切入点：子服务　出处：《海南大学》2017年硕士论文　论文类型：学位论文

【摘要】：当前,随着计算机技术的不断发展,基于云计算的应用越来越广泛。由于云计算具有资源无限性的特点,通过云计算提供服务的供应商不断增多,提供的服务种类也日趋完备。单个服务供应商一般关注某一领域业务,开发的服务具有单一和功能有限的特点,往往只能满足某个应用。目前,云计算环境下服务需求呈现多功能、复杂化的特点,利用现有的服务资源,将多个已经存在的单个服务按照功能、语义以及它们之间的逻辑关系组合成新的综合服务,既可以加快体系构建速度和降低体系开发成本,又能满足复杂应用功能需求。云计算环境下服务组合的核心是如何正确地评估组合服务信任度。当前的服务组合信任度研究较多的考虑安全问题,基本上以子服务提供的QoS为基础选择子服务,较少考虑子服务实际组合运行时的差异,并且很少涉及服务组合方式,因此不能适应云计算环境。本文针对云计算环境下服务多层次的特征,设计了一种服务组合信任度建模机制。首先建立子服务信任度评估机制,对子服务质量的信任度从静态和动态两方面进行可靠评估。分析子服务的QoS以及历史评价记录,与信任度评价规范进行匹配,确定其信任度的静态评估。对现有服务组合历史数据进行处理,获得子服务信任度的动态评估。然后建立组合服务信任度评估机制,设计了组合服务信任度评估算法,该算法以子服务信任度为基础,考虑子服务权重、服务组合方式以及约束算法,保障组合服务信任度有较高的可信性,提升使用者满意程度。本文对总体评估模型进行了仿真实验,仿真结果验证了算法和模型的可行性。
[Abstract]:At present, with the continuous development of computer technology, the application of cloud computing is becoming more and more extensive. Because cloud computing has the characteristics of unlimited resources, the number of providers providing services through cloud computing is increasing. A single service provider is generally concerned with a particular area of business and develops a service that is characterized by a single and limited function and is often able to satisfy only one application. In the cloud computing environment, the service requirement presents the characteristics of multifunction and complexity. Using the existing service resources, several existing individual services are combined into a new integrated service according to the function, semantics and the logical relationship between them. It can accelerate the speed of system construction and reduce the cost of system development. The core of service composition in cloud computing environment is how to evaluate the trust degree of composite services correctly. Basically, child services are selected on the basis of the QoS provided by the subservices, with less consideration given to the differences in the actual composition runtime of the subservices, and less about the way the services are composed. Therefore, it can not adapt to the cloud computing environment. In this paper, a service composition trust modeling mechanism is designed according to the multi-level characteristics of services in cloud computing environment. Firstly, a sub-service trust evaluation mechanism is established. The reliability of sub-service quality is evaluated from static and dynamic aspects. The QoS and historical evaluation records of sub-service are analyzed and matched with the trust evaluation criterion. To determine the static evaluation of the trust degree of the composite service, to process the historical data of the existing service composition, to obtain the dynamic evaluation of the trust degree of the sub-services, and then to establish the evaluation mechanism of the trust degree of the composite service, and to design an algorithm for evaluating the trust degree of the composite service. This algorithm is based on the trust degree of sub-service, and considers the weight of sub-service, the service composition mode and the constraint algorithm, which ensures the reliability of the composite service trust. In this paper, the overall evaluation model is simulated and the simulation results verify the feasibility of the algorithm and the model.
【学位授予单位】：海南大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：TP393.09

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