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Heuristic Grid Resource Scheduling Algorithm based on Group of Task and Secondary Distribution

초록

영어

Grid resource scheduling policies directly affect the performance of the grid, so the grid resource scheduling algorithm for grid research has become a hot spot. In this paper, based on grid heterogeneity to resource scheduling of load balancing, effective resource utilization and minimize task sets the span of time (Makespan) as the goal, propose a heuristic grid resource scheduling algorithm based on Group of Task and Secondary Distribution, the basic idea is dividing the set of tasks into two groups by using the standard deviation, the one is long tasks group, another is short tasks group .The longest task in long tasks group will be allocated to the worst performance to execute, the rest can be done in the same manner. Tasks in short tasks group will be executed by the Min-Min algorithm , and then through secondary dispatch ideas to make the grid system to quickly reach each resource load balancing , improving resource utilization efficiency and minimizing the task set time span. Finally, the simulation model benchmark Braun et al. demonstrates the effectiveness of the algorithm.

목차

Abstract
 1. Introduction
 2. Related Work
 3. GTSD Algorithm
  3.1 Algorithm Thoughts
  3.2 The Secondary Allocation Algorithm Based on the Grouping Task
  3.3 Analysis of the Algorithm
 4. Instance Analysis
 5. The Results and Performance Analysis
  5.1. Experimental Environment
  5.2 Performance Analysis
 6. Conclusion
 Acknowledgements
 References

저자정보

  • Zhongping Zhang School of Information Science and Engineering, Yanshan University, Qinhuangdao, 066004, China
  • Yupeng Feng School of Information Science and Engineering, Yanshan University, Qinhuangdao, 066004, China
  • Shan Zhang School of Information Science and Engineering, Yanshan University, Qinhuangdao, 066004, China
  • Ying Sun School of Information Science and Engineering, Yanshan University, Qinhuangdao, 066004, China

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