Load Balancing Across Near-Homogeneous Multi-Resource Servers
MINNESOTA UNIV MINNEAPOLIS DEPT OF COMPUTER SCIENCE
Pagination or Media Count:
An emerging model for computational grids interconnects similar multi-resource servers from distributed sites. A job submitted to the grid can be executed by any of the servers however, resource size or balance may be different across servers. One approach to resource management for this grid is to layer a global load distribution system on top of the local job management systems at each site. Unfortunately, classical load distribution policies fail on two aspects when applied to a multi-resource server grid. First, simple load indices may not recognize that a resource imbalance exists at a server. Second, classical job selection policies do not actively correct such a resource imbalanced state. We show through simulation that new policies based on resource balancing perform consistently better than the classical load distribution strategies.
- Operations Research
- Computer Systems