Abstract
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.
Original language | English (US) |
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Pages (from-to) | 60-71 |
Number of pages | 12 |
Journal | Proceedings of the Heterogeneous Computing Workshop, HCW |
State | Published - 2000 |