Study and Application of ParallelScheduling Algorithm in NewGeneration 〖JP〗Meteorological Satellite DataProcessing System
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Abstract:
The dataprocessing center of the meteorological satellite ground application system manages a huge amount of data each day， so high timeefficiency and reliability is required.In view of the high requirement and load balance in the cluster system， in use of the experiences of the Ants algorithm， Reserving Resource， Dynamic Priority strategy, and virtual server application concepts， a parallelscheduling algorithm (a dynamic pheromone weighting algorithm based on performance forecast and link weight calculation) is presented, which can be applied in the dynamical load balance of HPC, help the cluster find the optimum server to deal with the requirements of application rapidly and exactly， thus realize the high dateprocessing capability of the data processing center.
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Supported by:Beijing E-Tiller Technology Development Co., Ltd.
Supported by:Beijing E-Tiller Technology Development Co., Ltd.