Computer and Modernization

Previous Articles     Next Articles

MeteorologicalCloudResourceSchedulingSystemBasedonBPNeuralNetwork

  

  1. (JiangxiMeteorologicalInformationCenter,Nanchang330096,China)
  • Received:2018-01-17 Online:2018-08-23 Published:2018-08-27

Abstract: Schedulingmeteorologicalcloudresourcemanuallycanleadtothewasteofresources.ThispaperdesignsameteorologicalcloudresourceschedulingsystembasedonBPneuralnetwork.ThissystemusesBPneuralnetworktolearnthehistoricalworkloadofvirtualmachines,andthenpredictstheirworkloads.Basedontheworkloadpredictionofvirtualmachines,amulti-resource-orientedstrategyforvirtualmachineswhichissortednon-increasinglyisdesigned.ThissystemusesFirst-Fitalgorithmtoallocatecloudresourcetosortedvirtualmachines.ThissystemisexperimentedandverifiedontheJiangximeteorologicalcloudplatform.

Key words: meteorologicalcloud, resourcescheduling, BPneuralnetwork

CLC Number: