Cluster Based Analysis of IPv6 Network Traffic

Author

Zhang, Bin ; Wu, Jiao ; Liu, Jinsong ; Li, Chao ; Hu, Yi

Author_Institution

Network Center, Hebei Univ., Baoding, China

fYear

2011

fDate

21-24 Sept. 2011

Firstpage

83

Lastpage

87

Abstract

Classical IPv6 network traffic analysis system is built on one or more physical servers. It has low analysis efficiency, large process delay, and it could not reach the real-time demand. Cluster based IPv6 network traffic analysis system is composed of Front-analysis Node, Controller Node, Back-analysis Node and Data Warehouse Node. The functions of cluster-based analysis system are traffic collection, real-time analysis and off-line traffic analysis. Experimental results show that the Average Waiting Time (AWT) for jobs in case of Service Cluster is comparatively lesser with respect to Physical Server, and the Service Cluster shortens the service failover time by 89.8%.

Keywords

IP networks; data warehouses; pattern clustering; telecommunication traffic; IPv6 network traffic analysis system; average waiting time; back-analysis node; cluster based analysis system; controller node; data warehouse node; front-analysis node; off-line traffic analysis; physical server; real-time analysis; service cluster; traffic collection; Cloud computing; Data analysis; IP networks; Processor scheduling; Protocols; Real time systems; Servers; Cluster; IPv6; Job Scheduling; data analysis;

fLanguage

English

Publisher

ieee

Conference_Titel

Networking and Distributed Computing (ICNDC), 2011 Second International Conference on

Conference_Location

Beijing

Print_ISBN

978-1-4577-0407-9

Type

conf

DOI

10.1109/ICNDC.2011.25

Filename

6047112