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所属单位：计算机科学与技术学院/人工智能学院/软件学院
发表刊物：Lect. Notes Comput. Sci.
摘要：Task management has always been a key issue in collective computing, including task decomposition, distribution, execution and results integration, but there is little research on task decomposition. In order to improve multi-tasks execution efficiency and promote the full utilization of collective resources, a task decomposition model based on extended task-tree is proposed in this paper. Meanwhile, a series of pruning and reorganization algorithms are proposed, and the performance of the algorithms is analyzed and evaluated. Experiments verify that the proposed algorithms outperform traditional methods, and prove that the practicality and efficiency of the strategy. © 2019, Springer Nature Switzerland AG.
ISSN号：0302-9743
是否译文：否
发表时间：2019-01-01
合写作者：Zhang, Zhenhua,Li, Yang,朱琨,F70206470
通讯作者：赵蕴龙