• Complex
  • Title
  • Keyword
  • Abstract
  • Scholars
  • Journal
  • ISSN
  • Conference
搜索

Author:

Zhang, Tie-Lin (Zhang, Tie-Lin.) | Jia, Ke-Bin (Jia, Ke-Bin.) (Scholars:贾克斌)

Indexed by:

EI Scopus

Abstract:

IDC (Internet Data Center) Engine room plays a core role in large IT enterprise's operation and management of data exchange and processing. Taking advantage of scientific and intelligent ways to realize management and control, is prerequisite to IDC engine room's efficient and stable work. Aimed to solve the traditional IDC's serious problems such as information collection lag, not timely alarming and poor performance on saving energy, we designed and implemented a set of intelligent management and control systems in IDC engine room based on data mining and early warning. This Paper firstly describes the system structure and function, then focuses on key technologies such as nonlinear regression early warning, improved Apriori data mining, SMS (Short Messaging Service), and ultimately shows experiment results and real implements of the system based on early warning alarm, data mining, real-time analysis. This intelligent system has been successfully deployed in IDC of China Unicom and has been proved accurate, stable and efficient. © 2012 IEEE.

Keyword:

Engines Samarium Data mining Intelligent systems Electronic data interchange Information management Control systems Mobile telecommunication systems

Author Community:

  • [ 1 ] [Zhang, Tie-Lin]Electronic Information and Control Engineering Dept, Beijing University of Technology, Beijing, China
  • [ 2 ] [Jia, Ke-Bin]Electronic Information and Control Engineering Dept, Beijing University of Technology, Beijing, China

Reprint Author's Address:

Show more details

Related Keywords:

Related Article:

Source :

Year: 2012

Page: 1366-1369

Language: English

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count: 4

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 4

Online/Total:561/10616643
Address:BJUT Library(100 Pingleyuan,Chaoyang District,Beijing 100124, China Post Code:100124) Contact Us:010-67392185
Copyright:BJUT Library Technical Support:Beijing Aegean Software Co., Ltd.