Improved AR-based model of host load prediction in computing grid
一种基于自动回归的改进网格主机负载预测模型

As the main part of resources prediction in the grid computing, host load is particularly important. An improved AR-based model of host load prediction was presented, The improved model not only has the advantages that AR model has, such as, low computing cost and high stability, and has the advantages that AR model has not. It can predict the dynamic interval host load that some job will encounter in the future, and process some characters of the host load variance, for example, self-similarity and long-range dependence. Experiment results show that the improved model has come to an anticipant result.