QoS预测机制的个性化云媒体服务选择  

Personalized Cloud-media Services Selection by QoS Prediction

作　　者：唐瑞春[1] 方丽华[1] 庞敏[1] 许晓伟[1] 丁香乾[1] TANG Rui-chun FANG Li-hua PANG Min XU Xiao-wei DING Xiang-qian(Department of Computer Science and Technology, Ocean University of China, Qingdao 266100, China)

机构地区：[1]中国海洋大学计算机科学与技术系,青岛266100

出　　处：《北京邮电大学学报》2016年第6期42-46,共5页Journal of Beijing University of Posts and Telecommunications

基　　金：国家科技支撑计划项目(2015BAF04B02)

摘　　要：针对现有云媒体服务选择算法服务质量(QoS)不高和用户满意度低的问题,提出了一种基于QoS预测机制的个性化云媒体服务选择算法.首先,建立信任度模型,并将其引入用户相似度的计算来优化近邻用户,再利用协同过滤方法计算未知服务的QoS值,选出QoS较高的候选服务;其次,利用逼近理想解排序方法,选择并提供给用户符合其偏好的云媒体服务,进而提高用户满意度.仿真实例说明了该算法的有效性.In order to improve the quality of service（QoS） and the user satisfaction of cloud-media services selection,a personalized cloud-media services selection based on QoS prediction was proposed.Firstly,a credibility model is established and introduced to the calculation of user similarity to optimize the neighbor users,then the QoS value of unused services can be predicted by and the collaborative filtering,services having higher services quality are selected as candidates. Secondly,the user preferred cloud-media services is provided on the basis of technique for order preference by similarity to an ideal solution to improve the user satisfaction. Simulation results show its efficiency.

关 键 词：服务选择 服务质量预测 协同过滤 用户偏好 用户满意度 

分 类 号：TP393[自动化与计算机技术—计算机应用技术]