摘要
随着云计算理念的普及和云计算技术的发展,在云中部署商业服务已成为一个趋势。云服务类型和数量的持续增长,使用户面临着如何选择最佳云服务的重要挑战。首先分析了云计算环境中服务推荐涉及的对象,接着引入了用户社区的概念,最后结合经典协同过滤推荐算法和聚类技术,提出了一种基于社区聚类的云服务推荐算法:Cloudrec。实验结果表明该算法性能优于传统经典推荐算法,更适应云计算环境。
With the popularity of the cloud computing, deploying business services in the cloud has become a trend and drawn attentions of government, business circles and academia. As the type and amount of cloud services increasing, how to choose the best services in cloud becomes a challenge. In order to adapt the complexity of cloud computing environment, a cloud service recommendation algorithm, named Cloudrec, is presented based on classic collaborative filtering algorithm and clustering technology. Experimental results show that the Cloudrec is more suitable than classic recommendation algorithm for cloud computing environments.
出处
《巢湖学院学报》
2012年第3期42-47,共6页
Journal of Chaohu University
基金
滁州学院自然科学研究项目(项目编号:2010kj017B)
关键词
云计算
云服务
聚类
推荐算法
Cloud computing
cloud services
clustering
recommendation algorithm
