Abstract
In this study, we investigate the task scheduling problem in heterogeneous computing environments and propose a novel scheduling algorithm, called the Artificial Immune System with Duplication (AISD) algorithm that efficiently tackles the problem. The AISD algorithm incorporates the clonal selection principle in the immune system and task duplication into the scheduling process. Based on the performance results obtained from extensive experiments conducted with a comprehensive set of both randomly generated and well-known application task graphs and various system configurations, AISD consistently outperformed the two existing algorithms by a noticeable margin, especially when scheduling communication intensive task graphs.
Original language | English |
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Title of host publication | Proceedings - 21st International Parallel and Distributed Processing Symposium, IPDPS 2007; Abstracts and CD-ROM |
Place of Publication | Piscataway, NJ |
Publisher | Institute of Electrical and Electronics Engineers (IEEE) |
Pages | 1-8 |
Number of pages | 8 |
ISBN (Print) | 1424409101, 9781424409105 |
DOIs | |
Publication status | Published - 2007 |
Externally published | Yes |
Event | 21st International Parallel and Distributed Processing Symposium, IPDPS 2007 - Long Beach, CA, United States Duration: 26 Mar 2007 → 30 Mar 2007 |
Other
Other | 21st International Parallel and Distributed Processing Symposium, IPDPS 2007 |
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Country/Territory | United States |
City | Long Beach, CA |
Period | 26/03/07 → 30/03/07 |