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Multi-user utility pattern based cloud service negotiation for quality of service improvement: an implicit interest prediction approach

机译:基于多用户实用模式的云服务协商,提供服务质量改进:隐含兴趣预测方法

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摘要

The growing deployment of cloud services increases the responsibility of cloud service provider in meeting consumer satisfaction in great measure. As the interest of the user changes in time and the number of service providers are growing the cloud user has more options in choosing the required service. But the problem of service negotiation must be handled by all the service providers in order to improve the quality of service. To solve the issue of service negotiation, a multi-user utility pattern based service negotiation approach is discussed in this paper. The method monitors the service negotiation values and keeps track of services accessed by different cloud user. It also maintains a trace of sequence of service access based on user's interest. The proposed technique uses the implicit tracking approach to predict the interest of the user by monitoring the service access without the knowledge of the end user and generate a pattern called utility pattern. Based on the generated pattern, the most impacting services are ranked according to the implicit activities of different users. The ranked services are given to the user to select a single service to fulfil the request. The proposed technique improves the performance of cloud environment to 95% and increases the satisfaction of the cloud user.
机译:云服务的越来越大的部署增加了云服务提供商在大量衡量方面满足消费者满足的责任。由于用户的兴趣在时间和服务提供商的数量上升,云用户在选择所需的服务时具有更多选项。但必须由所有服务提供商处理服务谈判的问题,以提高服务质量。为解决服务协商问题,本文讨论了一种基于多用户实用模式的服务协商方法。该方法监视服务协商值,并跟踪不同云用户访问的服务。它还基于用户的兴趣维持一系列服务序列。所提出的技术使用隐式跟踪方法来通过监视服务访问来预测用户的兴趣,而不知道最终用户的知识并生成名为实用程序模式的模式。基于所生成的模式,根据不同用户的隐式活动,对最多影响的服务进行排名。排名服务被给予用户选择单个服务以满足请求。所提出的技术将云环境的性能提高到95%,并提高了云用户的满足。

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