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处理顺序约束的信息物理融合系统静态任务表调度算法

王小乐 黄宏斌 邓苏

王小乐, 黄宏斌, 邓苏. 处理顺序约束的信息物理融合系统静态任务表调度算法. 自动化学报, 2012, 38(11): 1870-1879. doi: 10.3724/SP.J.1004.2012.01870
引用本文: 王小乐, 黄宏斌, 邓苏. 处理顺序约束的信息物理融合系统静态任务表调度算法. 自动化学报, 2012, 38(11): 1870-1879. doi: 10.3724/SP.J.1004.2012.01870
WANG Xiao-Le, HUANG Hong-Bin, DENG Su. List Scheduling Algorithm for Static Task with Precedence Constraints for Cyber-physical Systems. ACTA AUTOMATICA SINICA, 2012, 38(11): 1870-1879. doi: 10.3724/SP.J.1004.2012.01870
Citation: WANG Xiao-Le, HUANG Hong-Bin, DENG Su. List Scheduling Algorithm for Static Task with Precedence Constraints for Cyber-physical Systems. ACTA AUTOMATICA SINICA, 2012, 38(11): 1870-1879. doi: 10.3724/SP.J.1004.2012.01870

处理顺序约束的信息物理融合系统静态任务表调度算法

doi: 10.3724/SP.J.1004.2012.01870
详细信息
    通讯作者:

    王小乐

List Scheduling Algorithm for Static Task with Precedence Constraints for Cyber-physical Systems

  • 摘要: 针对异构环境并行计算的静态任务调度问题,以最小化有向无环图 (Directed acyclic graph, DAG)的执行跨度为目标,改变HEFT (Heterogeneous earliest finish time)算法中任务上行权重的计算方法, 获得更加合理的任务顺序排列,提出了一种最早完成时间优先的表调度算法IHEFT (Improvement heterogeneous earliest finish time).该算法在计算任务的上行权重时, 分别计算该任务分配给不同资源的上行权重,取其最小值,比使用所有资源对该任务的平均处理时间进行计算的HEFT算法更为准确. 确定任务的处理顺序后采用最早完成时间越小越优先的策略将任务分配给最优资源,并使得任务的开始执行时间和结束时间满足DAG中有向边的通讯时间约束.通过使用部分文献中的算例数据以及随机生成满足一定结构要求的DAG进行算法测试,将IHEFT与HEFT, CPOP (Critical-path-on-a-processor)和LDCP (Longest dynamic critical path)进行了比较,结果显示IHEFT算法更有效,而且时间复杂度较低.
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IEEE Transactions on Parallel and Distributed Systems, 2008, 19(9): 1215-1223[16] Omara F A, Arafa M M. Genetic algorithms for task scheduling problem. Journal of Parallel and Distributed Computing, 2010, 70(1): 13-22[17] Yang J D, Xu H, Pan L, Jia P F, Long F, Jie M. Task scheduling using Bayesian optimization algorithm for heterogeneous computing environments. Applied Soft Computing, 2011, 11(4): 3297-3310[18] Meng Xian-Fu, Wang Min. Peer to peer task scheduling based on improved immune clonal selection algorithm. Computer Integrated Manufacturing Systems, 2009, 15(9): 1795-1802(孟宪福, 王敏. 基于改进免疫克隆选择的对等网络任务调度机制. 计算机集成制造系统, 2009, 15(9): 1795-1802)[19] Tang X Y, Li K L, Liao G P, Fang K, Wu F. A stochastic scheduling algorithm for precedence constrained tasks on Grid. Future Generation Computer Systems, 2011, 27(8): 1083-1091[20] Wen Y, Xu H, Yang J D. A heuristic-based hybrid genetic-variable neighborhood search algorithm for task scheduling in heterogeneous multiprocessor system. 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Scheduling DAG-based applications in multicluster environments with background workload using task duplication. International Journal of Computer Mathematics, 2010, 87(11): 2387-2397[26] Vianna B A, Fonseca A A, Moura N T, Menezes L T, Mendes H A, Silva J A, Boeres C, Rebello V E F. A tool for the design and evaluation of hybrid scheduling algorithms for computational grids. In: Proceedings of the 2nd Workshop on Middleware for Grid Computing. Toronto, Canada: ACM, 2004. 41-46[27] Niu Jian-Jun, Deng Zhi-Dong, Li Chao. Distributed scheduling approaches in wireless sensor network. Acta Automatica Sinica, 2011, 37(5): 517-528(牛建军, 邓志东, 李超. 无线传感器网络分布式调度方法研究. 自动化学报, 2011, 37(5): 517-528)
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  • 收稿日期:  2011-06-27
  • 修回日期:  2012-07-09
  • 刊出日期:  2012-11-20

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