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An Improved MIN-MIN Scheduling Algorithm

Author: ShuaiZhiWei
Tutor: LiuJueFu
School: East China Jiaotong University
Course: Applied Computer Technology
Keywords: Grid Task scheduling Min-Min P - Min - Min GridSim
CLC: TP393.01
Type: Master's thesis
Year: 2009
Downloads: 29
Quote: 0
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Abstract


The development of hardware and software technology allows the deployment of parallel applications in large-scale distributed resources growing collection possible. With the rise of the grid , the Scheduling Algorithm for these applications to become a very active area . Currently, around the grid task scheduling algorithm, at home and abroad has done a lot of research work, has proposed a variety of scheduling algorithm . In this paper , based on the classic Min-Min scheduling algorithm for grid task and resource attributes , to take a specific attribute parameter , select the relevant attributes of a representative design constraint functions and priority model from different angles, improved algorithm P - Min- Min scheduling algorithm . Finally , the use of Gridsim simulation toolkit through improvement of java package and Visual Moduler , to achieve the scheduling algorithm , scheduling algorithm simulation results and data comparison and analysis of the system , in order to verify the improved scheduling algorithms the validity solve similar problems . Summary of the research , to explore the existing problems , and pointed out the direction for further research of the scheduling problem . The algorithm can coordinate grid computing in heterogeneous reasonable sharing of resources between multiple users , to meet the needs of different users , to fully consider the different expectations of the job completion time , and set different priorities for different levels of users , so that high - priority users job priority to the implementation , to ensure that the vast majority of jobs expected to be completed within the time to complete . While balancing the various resources utilization , improve user satisfaction , to achieve a reasonable match between the job and heterogeneous resources .

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