Massive remote sensing data of high reliability parallel processing method
Jing Wei-chen · Engineering of Surveying and Mapping · 2015
With the development of cloud computing technology,aquick solution to the application of remote sensing data is provided for earth observation,however,in the process of scheduling,because of the reliability the cloud computing cluster can not seriously affect the efficiency of data processing.Scheduling method based on the principal deputy version makes remote sensing data abstracted as the DAG task.In orden to meet the system schedulability under the premise of reliability,at the cost of cloud computing virtual nodes and communication links as the goal,the earliest start time of major and minor version of the task is analyzed,to avoid the task assigned to the node failure rate higher on execution.Experiments show that under the premise of ensuring reliable scheduling,it can improve not only the degree of fairness of DAG scheduling,but effectively shorten the average Makespan scheduling.