Load sharing in a Beowulf cluster can be done transparently by PANTS. However, PANTS distributes load using only a measurement of CPU usage to index load. While CPU usage is the typical metric used in load distribution, other system resources such as disk and memory can become loaded and be a performance bottleneck. We examine PANTS in the context of load distribution algorithms, build new load indices, develop benchmarks, and evaluate performance. We find our load indices can reduce compile time of the Linux kernel by 1/2 of the time of the original PANTS indices.

• This report represents the work of one or more WPI undergraduate students submitted to the faculty as evidence of completion of a degree requirement. WPI routinely publishes these reports on its website without editorial or peer review.

Creator

• Nichols, James Gordon
• Lemaire, Marc Andrew

Publisher

• Worcester Polytechnic Institute

Identifier

• 02D233M

Advisor

• Claypool, Mark L.

Year

• 2002

Date created

• 2002-01-01

Resource type

• Major Qualifying Project

Major

• Computer Science

Rights statement

• In Copyright

License

• All rights reserved