Study of Stochastic Characteristics of Traffic on a High Speed Network

Author

Bhattacharjee, P. ; Sanyal, G.

Author_Institution

Nat. Inst. of Technol., Durgapur

fYear

2006

fDate

20-23 Dec. 2006

Firstpage

648

Lastpage

651

Abstract

With the ever increasing backbone bandwidth, the design and planning of networks are usually done by simulating the influence of various traffic type on the network. Accurate traffic classification is the key stone of numerous network activities. The research in this paper results from a study and analysis of packet trace obtained from a backbone link in NITNET. Millions of packets are passed through the link that makes the traffic measurement difficult or even impossible. An attempt has been made to study the online inbound and outbound packet trace analysis. Poisson based sampling methodology has been used to estimate the characteristics and distribution of packets.

Keywords

Internet; data visualisation; pattern classification; sampling methods; stochastic processes; telecommunication computing; telecommunication network planning; telecommunication traffic; Internet traffic engineering; NITNET; Poisson based sampling method; accurate traffic classification; data visualization; high speed network; network design; network planning; online inbound packet trace analysis; online outbound packet trace analysis; stochastic traffic characteristics; Data visualization; High-speed networks; IP networks; Monitoring; Resource management; Sampling methods; Spine; Stochastic processes; Telecommunication traffic; Traffic control; Inbound and Outbound Traffic Analysis; Sampling methodologies; Significance test;

fLanguage

English

Publisher

ieee

Conference_Titel

Advanced Computing and Communications, 2006. ADCOM 2006. International Conference on

Conference_Location

Surathkal

Print_ISBN

1-4244-0716-8

Electronic_ISBN

1-4244-0716-8

Type

conf

DOI

10.1109/ADCOM.2006.4289980

Filename

4289980