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Predict Task Running Time In Grid Environments Based On Cpurnload Predictions

机译:基于Cpurnload预测来预测网格环境中的任务运行时间

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摘要

A good running time prediction of tasks is very helpful and important for job scheduling and resource management in grid systems. In this paper, we present a running time prediction method for grid tasks based on our previous work, which is a novel CPU load prediction method. In order to eliminate the interference of other factors, such as memory accessing, network performance, and fluctuation of competing CPU load and so on, we produce a simulation to test and evaluate our prediction method. In this simulation we use more than 10,000 randomized test cases run on load traces sampled from 39 different machines. The simulation results are excellent and demonstrate that our running time prediction of grid tasks outperforms significantly that of a widely existing prediction method.
机译:良好的任务运行时间预测对网格系统中的作业调度和资源管理非常有用,并且非常重要。在本文中,我们基于先前的工作提出了一种网格任务的运行时间预测方法,这是一种新颖的CPU负载预测方法。为了消除其他因素的干扰,例如内存访问,网络性能以及竞争的CPU负载波动等,我们提供了一个仿真来测试和评估我们的预测方法。在此仿真中,我们使用了10,000多个随机测试案例,这些案例在从39台不同机器采样的负载跟踪上运行。仿真结果非常好,表明我们对网格任务的运行时间预测明显优于现有的预测方法。

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