Computer and Modernization ›› 2018, Vol. 0 ›› Issue (07): 68-.doi: 10.3969/j.issn.1006-2475.2018.07.014

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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

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