基于本体的云服务价格分析与预测

发布时间：2018-02-28 01:54

本文关键词： 云服务本体服务选择协同过滤价格预测　出处：《南京师范大学》2017年硕士论文　论文类型：学位论文

【摘要】：随着云服务的不断发展,不同云服务厂商提供的服务种类和数量都大幅增加。在众多功能相似的服务中,用户除了需要先找到满足自身需求的服务外,往往还需考虑服务的价格。用户总是希望能够选择到服务价格较低的服务,而云服务供应商却希望能够以较高的价格出售自身的产品以获取最大的利润,用户与服务供应商之间在价格方面就会存在矛盾。另一方面,云服务提供商希望合理的分配服务资源,而用户则需要找到价格较低的服务,通常情况下,双方都会倾向于采用预定的方式来合理消费服务,即为未来某个时间段选择满足应用需求、价格相对合适的云服务。然而云服务的价格并不是一成不变的,它会受到多种因素的影响,如服务质量、市场的变化等。目前用户选取云服务的主要方式是通过搜索引擎检索的方式来查找筛选满足自身需求的服务,但通过搜索引擎来进行服务查找筛选结果的好坏依赖于搜索引擎的优劣,而且经常波动的服务价格在未来时间段的不确定性常常会给用户的选择带来困扰,因此需要一种更精准的服务选择和价格预测机制来为用户提供更个性化的服务,以帮助用户选择合适的云服务。因此本文提出一种基于本体的云服务选择和价格预测机制,通过抽象云服务领域的相关概念,建立云服务本体库,然后利用本体的概念匹配技术,将用户需求与云服务本体知识库相匹配,提供给用户满足其应用需求的待选服务集。为了能够方便用户,最大化用户的利益,让用户能够了解自己所要购买的服务价格,本文进一步提出了基于本体协同过滤的价格预测方法来预测未来时间段的服务价格供用户参考。最后,基于以上方法,设计和实现了基础设施即服务(IAAS)的云服务查询系统,方便用户对云服务的选择与使用。
[Abstract]:With the continuous development of cloud services, the types and the number of services provided by different cloud service providers have increased dramatically. In many similar services, users need to find services to meet their own needs first. Users always want to be able to choose services that cost less, while cloud service providers want to be able to sell their products at higher prices to maximize profits. There will be price conflicts between users and service providers. On the other hand, cloud service providers want reasonable allocation of service resources, while users need to find lower-priced services, usually, Both parties tend to use a predetermined approach to reasonably consume services, that is, cloud services that are relatively affordable for a certain period of time in the future. However, the price of cloud services is not always the same. It will be affected by many factors, such as the quality of service, market changes, etc. At present, the main way for users to select cloud services is to search and filter services that meet their needs through search engines. However, the search results of search engines depend on the quality of search engines, and the uncertainty of service prices in the future will often make the choice of users troubled. Therefore, a more accurate service selection and price prediction mechanism is needed to provide users with more personalized services to help them choose the appropriate cloud services. Therefore, this paper proposes an ontology-based cloud service selection and price prediction mechanism. By abstracting the related concepts of cloud service domain, the cloud service ontology library is established, and then the user requirements are matched with the cloud service ontology knowledge base by using the concept matching technology of ontology. To provide users with the choice of services to meet their application needs. In order to facilitate the user, maximize the interests of users, so that users can understand the price of the services they want to buy, In this paper, a price prediction method based on ontology collaborative filtering is proposed to predict the service price in the future. Finally, based on the above methods, a cloud service query system is designed and implemented. It is convenient for users to choose and use cloud services.
【学位授予单位】：南京师范大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：TP393.09

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