Self-adaptive Adjusting Approach for Cluster in Cloud Computing
Zhou Huanyun · Jisuanji kexue yu tansuo · 2011
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.