基于主机负载预测的动态任务调度算法研究

提出一种基于遗传神经网络的主机负载预测模型，并基于该模型设计了集中式任务调度算法CJD—HLP。CJD—HLP采用预测法提前获得主机负载信息，保证了任务调度时使用决策信息的实时性、准确性，避免了负载迁移的抖动问题。实验结果表明，该算法较基于实测法的其他任务调度算法在性能上有较大提高。

Research on Dynamic Task Scheduling Algorithm Based on Host Load Prediction

A host load prediction model based on heredity-neural network is proposed, and center task scheduling algorithm CJD-HLP based on the model is designed.CJD-HLP algorithm adopts prediction method to get the host load information earlier, ensure that the information for decision-making is real-time and accurate and avoid the load transfer jitter problem.Experimental results demonstrate that the algorithm performance is greatly enhanced compared with the algorithm based on actual measurement.