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一种改进的集群系统的任务调度算法 被引量:2

Algorithm of improved cluster system task scheduling
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摘要 任务调度算法是提高集群系统负载均衡能力的有效手段。为了提高系统利用效率,除了每个任务分配优先级外,还提出基于动态分配任务抢占阈值的LSF(Least Slack First最小空闲时间优先算法)改进算法,并将该设计方法应用到渲染集群系统中,从而有效地减少了因任务抢占引起的系统开销和提高了渲染集群系统资源利用率。 Task scheduling algorithm is an effective means to improve the load balancing capabilities of the cluster system . Use efficiency in order to improve the system, in addition to each task assigned priority, this paper also proposed preemption threshold based on dynamic allocation of tasks LSF improved algorithm, and the design method applied to the rendering cluster system, which effectively reduces the task preemption caused overhead and improve the rendering cluster system resource utilization.
作者 张亭
出处 《实验室科学》 2013年第3期82-84,88,共4页 Laboratory Science
基金 天津美术学院科研项目(项目编号:201143)
关键词 负载均衡 调度算法 动态抢占阈值 balance scheduling algorithm dynamic preemption threshold
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  • 1林剑柠,吴慧中.基于遗传算法的网格资源调度算法[J].计算机研究与发展,2004,41(12):2195-2199. 被引量:70
  • 2胡自林,徐云,毛涛.基于效益最优的网格资源调度[J].计算机工程与应用,2005,41(7):69-70. 被引量:15
  • 3许占文,李歆.Linux2·6内核的实时调度的研究与改进[J].沈阳工业大学学报,2006,28(4):438-441. 被引量:10
  • 4Liu C L, Layland J W. Scheduling algorithms for multiprogramming in a hard real-time environrnent[J].The Association for Computing Machinery, 1973,20 ( 1 ) : 46-61
  • 5Hildebrandt J,Golatowski F, Timmermann D. Scheduling Coprocessor for Enhanced Least-Laxity-First Scheduling in Hard Real Time Systems//Proc. of the llth Euromicro Cone 011 Real-Time Systems. Los Alamitos: IEEE Computer Society Press, 2002 :208-215
  • 6Terrasa A , Garcia Fornes A , Botti V J. Flexible Real - Time Linux:A Flexible Hard Real-Time Environment [J]. Real-Time Systems, 2004,22 (2) : 151-173
  • 7Moreno R A. Job scheduling and Resource Management Techniques in Dynamic Grid Environments[ C]//in: 2003 annual Crosagrid Project Workshop & 1st European Across Grids Conference. Santiago de Compostela,Spain: [s. n. ] ,2003.
  • 8Buyya R,Abrarmon D, Giddy J. An economy driven resource management architecture for global computational power grids [ C]//Int'l Conf on Parallel and Distributed Processing Techniques and Applications.Las Vegas: [s. n. ] ,2000.
  • 9Di Martino V. Scheduling in a grid computing environment using genetic algorithms[ C]//Mililotti M. the 16th Int'l Parallel and Distributed Processing Symp ( IPDPS2002 ). Florida, USA: [s. n. ] ,2002.
  • 10Abraham A,Buyya R. Nature's heuristics for scheduling jobs on computational grids[C]//The 8th Int'l Conf on Advanced Computing and Communications(ADCOM 2000).Cochin, India: [s. n. ] ,2000.

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