Algorithms | |
Fast Rescheduling of Multiple Workflows to Constrained Heterogeneous Resources Using Multi-Criteria Memetic Computing | |
Wilfried Jakob1  Sylvia Strack1  Alexander Quinte1  Günther Bengel2  Karl-Uwe Stucky1  | |
[1] Karlsruhe Institute of Technology (KIT), Institute of Applied Computer Science (IAI), P.O. Box 3640, Karlsruhe 76021, Germany; E-Mails:;Department of Computer Science, University of Applied Sciences Mannheim, Paul-Wittsack-Str. 10, Mannheim 68163, Germany; E-Mail: | |
关键词: scheduling; Memetic Algorithms; multi-criteria optimization; constrained resources; workflow scheduling; fast scheduling; empirical study; | |
DOI : 10.3390/a6020245 | |
来源: mdpi | |
【 摘 要 】
This paper is motivated by, but not limited to, the task of scheduling jobs organized in workflows to a computational grid. Due to the dynamic nature of grid computing, more or less permanent replanning is required so that only very limited time is available to come up with a revised plan. To meet the requirements of both users and resource owners, a multi-objective optimization comprising
【 授权许可】
CC BY
© 2013 by the authors; licensee MDPI, Basel, Switzerland.
【 预 览 】
Files | Size | Format | View |
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RO202003190036830ZK.pdf | 1247KB | download |