Designing and analyzing resource allocation based on grouped grid nodes

Supervising and allocating resources in highly dynamic grid environment is an important issue. Tsai et al. proposed a non-grouped grid node model. With non-grouped model, the CPU consumption caused by supervising nodes would raise with the increasing number of nodes. To reduce the CPU consumption, we proposed a grouped grid node model in this study. We classified grid nodes into grouped nodes based on the specified CPU scales. Nodes only supervise and allocate resources on the other nodes in the same group, and supervising and allocating grouped resources is handles by group-agent nodes in each group. By implementing the proposed grouped grid node model, we have good performance.