Title :
Study of Stochastic Characteristics of Traffic on a High Speed Network
Author :
Bhattacharjee, P. ; Sanyal, G.
Author_Institution :
Nat. Inst. of Technol., Durgapur
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;
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
DOI :
10.1109/ADCOM.2006.4289980
