A Multitasking Run Time Prediction Method based on GBDT in Satellite Ground Application System

In satellite ground application system, it will cause resource constraints when running multiple tasks. To accurately measure out the task run time, this paper proposed a task running time estimation method based gradient boosting decision tree (GBDT). Firstly, according to various features of the time series variables classify applications. The predicted values are given for each node in the tree according to GBDT algorithm. Then through the establishment of multiple trees, the loss function is minimized. Finally, the most accurate predictions are calculated. After analysis, the proposed algorithm has a high accuracy ground.