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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Kenli Li Zhimin Zhang Yuming Xu Bo Gao Ligang He |
| Copyright Year | 2012 |
| Abstract | Task scheduling has been proven to be NP-hard problem and we can usually approximate the best solutions with some classical algorithm, such as Heterogeneous Earliest Finish Time(HEFT), Genetic Algorithm. However, the huge types of scheduling problems and the small number of generally acknowledged methods mean that more methods are needed. In this paper, we propose a new method to schedule the execution of a group of dependent tasks for heterogeneous computing environments. The algorithm consists of two elements: An intelligent approach to assign the execution orders of tasks by task level, and an allocation algorithm based on chemical-reaction-inspired metaheuristic called Chemical Reaction Optimization (CRO) to map processors to tasks. The experiments show that the CRO-based algorithm performs consistently better than HEFT and Critical Path On a Processor (CPOP) without incurring much computational cost. Multiple runs of the algorithm can further improve the search result. |
| Starting Page | 17 |
| Ending Page | 23 |
| File Size | 339998 |
| Page Count | 7 |
| File Format | |
| ISBN | 9781467316316 |
| DOI | 10.1109/ISPA.2012.11 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2012-07-10 |
| Publisher Place | Spain |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Algorithm design and analysis Schedules heterogeneous computing Program processors Processor scheduling Scheduling Topology task scheduling DAG Optimization chemical reaction optimization |
| Content Type | Text |
| Resource Type | Article |
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