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一种基于神经网络的网格实时调度算法 被引量:1

Grid real-time scheduling algorithm based on neural network
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摘要 提出一种在指定的最终期限内,利用队列技术来模拟调度动态资源,构建一个数学神经模型调度应用的子任务,使用GridSim工具测试的调度算法,通过大约90%的模拟实验说明了模型调度任务是成功和高效的。 Within specified deadlines, this paper modeled performance dynamism of resources with the help of queuing techniques. Employed a mathematical neural model afterwards, to schedule subtasksof the application. Implemented the.proposed model on GridSim toolkit to evaluate the performance of scheduling algorithms. Simulation experiments show that in approximately 90% of cases,this model schedules tasks successfully and efficiently.
作者 李盛欣 段盛
出处 《计算机应用研究》 CSCD 北大核心 2009年第6期2095-2097,2103,共4页 Application Research of Computers
基金 湖南省自然科学基金资助项目(07JJ6107) 湖南省教育厅科研资助项目(07C724,07C723)
关键词 调度 网格计算 神经网络 并行计算 scheduling grid computing neural networks parallel computing
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参考文献8

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