多目标云资源最佳适应匹配算法的研究
The Study on Optimal Adaptive Matching Algorithm for Multi-Objective Cloud Resources

随着云计算的持续研究和发展,面向用户需求的云资源管理与选择是云计算中的重要研究方向之一.为了满足用户的多种云资源需求,使用树型云资源属性管理表(AMT-Tree)对云资源进行管理,并提出一种多目标云资源最佳适应匹配算法(MoOam),保障用户在海量数据下得到最优资源.实验结果表明:MoOam算法在资源匹配中是有效的.
With the continuing research and development of cloud computing,the management and selection of cloud resources for user needs is one of the most important aspects of cloud computing.In order to meet the user's multiple cloud resource requirements,the tree of cloud resource attribute management table(AMT-Tree)is proposed to manages the cloud resources,and a multi-objective cloud resource optimal adaptive matching algorithm(MoOam)is proposed,which guarantees the optimal resources of users under massive data.The experiment shows that the MoOam algorithm is effective in resource matching