面向云环境的自适应集群调整方法

摘要

应用服务器集群是平台即服务(platfom as a service,PaaS)模式的主要运行环境.针对云环境下动态变化的用户负载和共享、异构的集群环境,提出一种自适应集群调整方法,根据集群负载状况实现资源按需供给.该方法建立了PaaS平台的性能分析模型,并据此提出自适应的资源供给机制和负载均衡机制.实验结果表明,通过调节集群节点逻辑资源池的大小和集群节点数量,配合自适应负载均衡方法,达到了资源按需供给的目的.%Application server cluster is the most important runtime environment in platform as a service (PaaS).Based on the dynamic variable load and shared heterogeneous environment in PaaS, this paper brings forward a self-adaptive approach for cluster adjusting in order to provide resource on-demand corresponding to the cluster load.The approach constructs a performance diagnosis model, then provides self-adaptive mechanism for resource provision and load balancing.The experiment shows that the approach can implement resource provision on-demand through adjusting the size of logic resource pool, the number of cluster nodes and self-adaptive load balancing.