Design and Implementation of Universal Parallel Framework for Remote Sensing Process
Ziyang Li · Science Technology and Engineering · 2012
In order to simplify the development of remote sensing data parallel processing software on ground station,the universal parallel framework for remote sensing data process is designed based on analysis of remote sensing data process flow,job scheduling strategy and node fault-tolerance strategy.It integrates job parallel scheduling,message and data transferring and fault management and implements easily-using plug-in interfaces to support the extensibility of data process of multi-sensor and multi-functions.Finally,based on Message Passing Interface(MPI) technology,the framework is implemented on cluster.The parallel system for remote sensing data preprocess is implemented based on the framework as well.After the test and analysis of system performances,the results show that the framework can simply the development of data parallel process and meets the requirements of parallel computing efficiency.