International Standard Serial Number:

ISSN 1001-4551

Sponsor:

Zhejiang University;

Zhejiang Machinery and Electrical Group

Edited by:

Editorial of Journal of Mechanical & Electrical Engineering

Chief Editor:

ZHAO Qun

Vice Chief Editor:

TANG ren-zhong,

LUO Xiang-yang

Tel:

86-571-87041360,87239525

Fax:

86-571-87239571

Add:

No.9 Gaoguannong,Daxue Road,Hangzhou,China

P.C:

310009

E-mail:

meem_contribute@163.com

Transmission line data cloud platform architecture based on OpenStack
Published:2018-03-07 author:LI Jie shan, ZHAO Zhi qin Browse: 3640 Check PDF documents
                                              Transmission line data cloud platform architecture based on OpenStack
                                                                          LI Jie shan, ZHAO Zhi qin
                                   (EHV Transmission Company, China Southern Power Grid Co., Guangzhou 510000, China)


Abstract: Aiming at the increasing demand for big data processing capability of transmission lines in power enterprises, the characteristics and requirements of transmission line big data were deeply studied and the technology of OpenStack cloud platform was introduced, a data cloud platform structure for transmission line based on OpenStack was proposed, consisting of data collection layer, data center layer, application layer and access layer. This structure was designed to cope with the characteristics of transmission line big data such as multiple sources, large stocks and high growth speed relying on flexibility, loose coupling and open source advantages of OpenStack. The results indicate that an simple and scalable cloud management platform can be established based on the proposed structure, offering services including cloud hosts, cloud hard disks, object storage and relational databases to solve problem of insufficient processing capability of power enterprise data centers and effectively improve the operation efficiency of transmission line data platform.

Key words: transmission line data; OpenStack; data cloud platform; big data
  • Chinese Core Periodicals
  • Chinese Sci-tech Core Periodicals
  • SA, INSPEC Indexed
  • CSA: T Indexed
  • UPD:Indexed


2010 Zhejiang Information Institute of Mechinery Industry

Technical Support:Hangzhou Bory science and technology

You are 1895221 visit this site