Adaptive Online Scheduling of Task Graphs with Dynamic Resilience

	Adaptive Online Scheduling of Task Graphs with Dynamic Resilience
	Menglan Hu; Jun Luo; Yang Wang; Bharadwaj Veeravalli
刊名	IEEE Transactions on Computers
	2017
文献子类	期刊论文
英文摘要	This paper studies a scheduling problem of task graphs on a non-dedicated networked computing platform. The networked platform is characterized by a set of fully connected processors such as a multiprocessor system that can be shared by multiple tasks. Therefore, the computation and communication capacities of the computing platform dynamically fluctuate. To deal with this fluctuations for high performance task graph computing, we propose an online dynamic resilience scheduling algorithm called Adaptive Scheduling Algorithm (ASA) that bears certain distinct features compared to existing algorithms. First, the proposed algorithm deliberately assigns tasks to idle processors in multiple rounds to prevent any unfavorable decisions and also to avoid inefficient assignments of certain key tasks to slow processors. Second, the algorithm adopts task duplication as an attempt to minimize serious increase of schedule length due to unexpected processor slowdown. Finally, a look-ahead message transmission policy is applied to save communication time and further improve the overall performance. Performance evaluation results are presented to demonstrate the effectiveness and competitiveness of our approaches when compared with the existing algorithms.
URL标识	查看原文
语种	英语
内容类型	期刊论文
源URL	[http://ir.siat.ac.cn:8080/handle/172644/12518]
专题	深圳先进技术研究院_数字所
作者单位	IEEE Transactions on Computers
推荐引用方式 GB/T 7714	Menglan Hu,Jun Luo,Yang Wang,et al. Adaptive Online Scheduling of Task Graphs with Dynamic Resilience[J]. IEEE Transactions on Computers,2017.
APA	Menglan Hu,Jun Luo,Yang Wang,&Bharadwaj Veeravalli.(2017).Adaptive Online Scheduling of Task Graphs with Dynamic Resilience.IEEE Transactions on Computers.
MLA	Menglan Hu,et al."Adaptive Online Scheduling of Task Graphs with Dynamic Resilience".IEEE Transactions on Computers (2017).