一种高效的遥感数据处理集群调度算法研究

An efficient cluster scheduling algorithm for remote sensing data processing

遥感技术的进步使遥感数据质量得以提高,体量急剧增长,因此有必要研制高效的遥感数据处理集群系统用于提高遥感数据处理的效能。对遥感数据处理的时效性评估可以从处理效率和计算资源利用率两个角度进行评估。提出一种结合遥感数据处理先验值的动态双向实时匹配调度算法,即同步考虑先验值、任务情况和计算节点状态的双向调度的方法。实验结果表明,该算法有效的提高了集群系统的遥感数据处理效能。

The progress of remote sensing technology makes the quality of remote sensing data improved, and the volume of the remote sensing data increased rapidly. Therefore, it is necessary to develop an efficient remote sensing data processing cluster system to improve the efficiency of remote sensing data processing. The timeliness of remote sensing data processing can be evaluated from two perspectives： the processing efficiency and the computing resource utilization. In this paper, a dynamic bidirectional real-time matching scheduling algorithm combined with the prior value of remote sensing data processing is proposed;it＇s a bi-directional scheduling method of simultaneous consideration of the priori values, task conditions and the computing node state. Experimental results show that the proposed algorithm can effectively improve the efficiency of remote sensing data processing in cluster system.