An Effective Duplication-based Task Scheduling Algorithm with Link Contention Constraints for Heterogeneous Computing System
碩士 === 國立交通大學 === 資訊工程系所 === 92 === Effective application scheduling is critical for achieving high performance in heterogeneous computing environments. An application scheduling problem is to find the minimum schedule length by arranging tasks of application on computing resources. This problem is...
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ndltd-TW-092NCTU53920352015-10-13T13:04:22Z http://ndltd.ncl.edu.tw/handle/09030243299489800730 An Effective Duplication-based Task Scheduling Algorithm with Link Contention Constraints for Heterogeneous Computing System 在異質系統上考量鏈結碰撞的有效工作排程方法 Hsu Shun-Min 許順閔 碩士 國立交通大學 資訊工程系所 92 Effective application scheduling is critical for achieving high performance in heterogeneous computing environments. An application scheduling problem is to find the minimum schedule length by arranging tasks of application on computing resources. This problem is a NP-complete problem. Most task scheduling algorithms assume fully connected heterogeneous processors and ignore contention on the network links. For more accurate and efficient schedules, we take the link contention constraints into our system model. We propose a Duplication-based Earliest Finish Time (DEFT) algorithm to solve the scheduling problem effectively. The DEFT algorithm selects the task with highest bottom_level value at each step and assigns the selected task to the processor, which minimizes its earliest finish time by a task duplication mechanism. The simulation studies, based on randomly generated graphs, show that our scheduling algorithm significantly surpasses other algorithms in terms of minimizing the scheduling length of applications. Cheng Chen 陳 正 2004 學位論文 ; thesis 49 en_US |
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碩士 === 國立交通大學 === 資訊工程系所 === 92 === Effective application scheduling is critical for achieving high performance in heterogeneous computing environments. An application scheduling problem is to find the minimum schedule length by arranging tasks of application on computing resources. This problem is a NP-complete problem. Most task scheduling algorithms assume fully connected heterogeneous processors and ignore contention on the network links. For more accurate and efficient schedules, we take the link contention constraints into our system model. We propose a Duplication-based Earliest Finish Time (DEFT) algorithm to solve the scheduling problem effectively. The DEFT algorithm selects the task with highest bottom_level value at each step and assigns the selected task to the processor, which minimizes its earliest finish time by a task duplication mechanism. The simulation studies, based on randomly generated graphs, show that our scheduling algorithm significantly surpasses other algorithms in terms of minimizing the scheduling length of applications.
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Cheng Chen |
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Cheng Chen Hsu Shun-Min 許順閔 |
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Hsu Shun-Min 許順閔 |
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Hsu Shun-Min 許順閔 An Effective Duplication-based Task Scheduling Algorithm with Link Contention Constraints for Heterogeneous Computing System |
author_sort |
Hsu Shun-Min |
title |
An Effective Duplication-based Task Scheduling Algorithm with Link Contention Constraints for Heterogeneous Computing System |
title_short |
An Effective Duplication-based Task Scheduling Algorithm with Link Contention Constraints for Heterogeneous Computing System |
title_full |
An Effective Duplication-based Task Scheduling Algorithm with Link Contention Constraints for Heterogeneous Computing System |
title_fullStr |
An Effective Duplication-based Task Scheduling Algorithm with Link Contention Constraints for Heterogeneous Computing System |
title_full_unstemmed |
An Effective Duplication-based Task Scheduling Algorithm with Link Contention Constraints for Heterogeneous Computing System |
title_sort |
effective duplication-based task scheduling algorithm with link contention constraints for heterogeneous computing system |
publishDate |
2004 |
url |
http://ndltd.ncl.edu.tw/handle/09030243299489800730 |
work_keys_str_mv |
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