Abstract
A performance prediction framework is described in which predictive data generated by the PACE toolkit is stored and published through a Globus MDS-based performance information service. Distributing this data allows additional performance-based middleware tools to be built; the paper describes two such tools, a local-level scheduler and a system for wide-area task management. Experimental evidence shows that by integrating these performance tools for local- and wide-area management, considerable improvements can be made to task scheduling, resource utilisation and load balancing on heterogeneous distributed computing systems.
Original language | English |
---|---|
Title of host publication | Proceedings - International Parallel and Distributed Processing Symposium, IPDPS 2003 |
Publisher | Institute of Electrical and Electronics Engineers (IEEE) |
ISBN (Electronic) | 0769519261, 9780769519265 |
DOIs | |
Publication status | Published - 2003 |
Event | International Parallel and Distributed Processing Symposium, IPDPS 2003 - Nice, France Duration: 22 Apr 2003 → 26 Apr 2003 |
Publication series
Name | Proceedings - International Parallel and Distributed Processing Symposium, IPDPS 2003 |
---|
Conference
Conference | International Parallel and Distributed Processing Symposium, IPDPS 2003 |
---|---|
Country/Territory | France |
City | Nice |
Period | 22/04/03 → 26/04/03 |
Bibliographical note
Publisher Copyright:© 2003 IEEE.
ASJC Scopus subject areas
- Computational Theory and Mathematics
- Theoretical Computer Science
- Software