Using NARX Neural Network Based Load Prediction to Improve Scheduling Decision in Grid Environments

@article{Huang2007UsingNN,
  title={Using NARX Neural Network Based Load Prediction to Improve Scheduling Decision in Grid Environments},
  author={Jin Huang and Hai Jin and Xia Xie and Qin Zhang},
  journal={Third International Conference on Natural Computation (ICNC 2007)},
  year={2007},
  volume={5},
  pages={718-724}
}
In grid environment, applications are in active competition with unknown background workloads introduced by other users. To achieve good performance, performance models are used to predict the possible status of the resources, and to make decisions of the selection of a performance-efficient application execution strategy. In this paper, we present a scheduling decision method that utilizes the NARX neural network based load prediction to define data mappings appropriate for dynamic resources… CONTINUE READING

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