Full-Text Search:
Home|Journal Papers|About CNKI|User Service|FAQ|Contact Us|中文
《Computer and Modernization》 2018-07
Add to Favorite Get Latest Update

Meteorological Cloud Resource Scheduling System Based on BP Neural Network

YANG Li-yuan;HU Jia-jun;LI Xian-feng;ZHOU Xue-ying;ZOU Hai-yan;Jiangxi Meteorological Information Center;  
Scheduling meteorological cloud resource manually can lead to the waste of resources. This paper designs a meteorological cloud resource scheduling system based on BP neural network. This system uses BP neural network to learn the historical workload of virtual machines,and then predicts their workloads. Based on the workload prediction of virtual machines,a multiresource-oriented strategy for virtual machines which is sorted non-increasingly is designed. This system uses First-Fit algorithm to allocate cloud resource to sorted virtual machines. This system is experimented and verified on the Jiangxi meteorological cloud platform.
【Fund】: 江西省气象局重点科研项目(201701)
【CateGory Index】: P409;TP183
Download(CAJ format) Download(PDF format)
CAJViewer7.0 supports all the CNKI file formats; AdobeReader only supports the PDF format.
©2006 Tsinghua Tongfang Knowledge Network Technology Co., Ltd.(Beijing)(TTKN) All rights reserved