摘要
随着云计算及其相关领域技术的不断发展与成熟,云服务节点的权重计算问题成为影响云计算商业模式推广的重要因素。为此,文章提出了一种基于服务节点关联模型的权重计算算法——CloudRank。CloudRank充分利用和挖掘基于用户操作行为的服务关联模型,通过各云服务节点的直接前驱和后续服务节点实现整个云计算环境的权重合理计算和分配。该算法独立于具体的资源主体和服务过程,执行效率高且计算结果较稳定。最后,借助实验对算法的收敛性和有效性进行了分析。
With the increasing prevalence and maturation of the cloud computing and relevant fields, the weight computing of cloud-service nodes has become important factor in influencing the grown of commerce mode for cloud computing. To solve the problem, this paper proposes a new method, which is based on the cor- relation model of service nodes, CloudRank, which makes full use of Service Correlation Model based on user behavior, and realizes the re-computing and reallocation of entire weight in cloud environment by virtue of the pre-and post-cloud-services nodes. Because of the independence of this algorithm for special resource body and service process, the algorithm offers high executing efficiency and stability, and improves the efficiency of path ordering in the processing of web services composition.
出处
《信息化研究》
2014年第1期23-27,共5页
INFORMATIZATION RESEARCH
基金
国家科技支撑计划(No.2011BAK21B06)
关键词
云计算
关联模型
用户行为
服务排序
cloud computing
correlation model
user behavior
service ordering