Research on Information Processing with Dynamic Adaptive Job Scheduling Algorithm Based on Hadoop Platform
Xue Ying Jiang, Yao Wang, Yan Meng · Advanced materials research · 2014
Job scheduling and resource allocation problems relate to the overall performance and resource utilization of Hadoop platform. This paper proposes a dynamic adaptive job scheduling algorithm based on Hadoop platform. This algorithm monitors the change of each computing resource nodes in real time. And through the feedback mechanism pass this information to the control node. It implements the purpose of assign the optimal resource for each of tasks.