DocumentCode
3579202
Title
Research on Warship Communication Operation and Maintenance Management Based on Big Data
Author
Da Ning ; Peng Chen ; Gang Yuan ; Jianlin Xu ; Lin Xu
Author_Institution
No. 722 Res. Inst., CSIC, Wuhan, China
fYear
2014
Firstpage
126
Lastpage
129
Abstract
Big data as another revolution of information technology is happening and has a huge impact on many fields of the society. In the military communication field, massive and multi-source data with explosive growth of operational command, operation and maintenance, meteorological environment provides the information source for data analysis in "information war" era. In order to improve the operational command efficiency in actual combat and enable to real-time predict and analyze battlefield situation and network performance and fault needs the support of intelligent and automatic communication operation and maintenance. In this paper, on a basis of related technologies of big data, focusing on the requirement of big data in the warship communication operation and maintenance management, and proposing a management architecture of warship communication operation and maintenance management based on big data, and the advantages of big data in the application of warship communication operation and maintenance management system are analyzed. Finally several issues of big data hold in the application of warship communication operation and maintenance management are elaborated.
Keywords
Big Data; data analysis; maintenance engineering; military vehicles; ships; big data; data analysis; information source; information technology; information war era; maintenance management; meteorological environment; military communication field; multisource data; operational command efficiency; warship communication operation; Big data; Business; Computer architecture; Data analysis; Maintenance engineering; Real-time systems; Servers; big data; operation and maintenance management; warship communication;
fLanguage
English
Publisher
ieee
Conference_Titel
Cloud Computing and Big Data (CCBD), 2014 International Conference on
Type
conf
DOI
10.1109/CCBD.2014.24
Filename
7062883
Link To Document