Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
424954 | Future Generation Computer Systems | 2009 | 7 Pages |
Abstract
The advent of commodity-based high-performance clusters has raised parallel and distributed computing to a new level. However, in order to achieve the best possible performance improvements for large-scale computing problems as well as good resource utilization, efficient resource management and scheduling is required. This paper proposes a new two-level adaptive space-sharing scheduling policy for non-dedicated heterogeneous commodity-based high-performance clusters. Using trace-driven simulation, the performance of the proposed scheduling policy is compared with existing adaptive space-sharing policies. Results of the simulation show that the proposed policy performs substantially better than the existing policies.
Related Topics
Physical Sciences and Engineering
Computer Science
Computational Theory and Mathematics
Authors
J.H. Abawajy,