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Traffic characterization of the NSFNET national backbone
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Proceedings of the 1990 ACM SIGMETRICS conference on Measurement and modeling of computer systems table of contents
Univ. of Colorado, Boulder, Colorado, United States
Pages: 257 - 258  
Year of Publication: 1990
ISBN:0-89791-359-0
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Author
Steven A. Heimlich  Department of Computer Science, University of Maryland, College Park, MD
Sponsor
SIGMETRICS: ACM Special Interest Group on Measurement and Evaluation
Publisher
ACM  New York, NY, USA
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ABSTRACT

Traditionally, models of packet arrival in communication networks have assumed either Poisson or compound Poisson arrival patterns. A study of a token ring local area network (LAN) at MIT [5] found that packet arrival followed neither of these models. Instead, traffic followed a more general model dubbed the “packet train,” which describes network traffic as a collection of packet streams traveling between pairs of nodes. A packet train consists of a number of packets travelling between a particular node pair. This study examines the existence of packet trains on NSFNET, a high speed national backbone network. Train characteristics on NSFNET are not as striking as those found on the MIT local network; however, certain protocols exhibit quite strong train behavior given the great number of hosts communicating through the backbone. Descriptions of the packet train model can be found in [3] and [5].


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
1
D. C. Feldmeier. Empirical analysis of a token ring network. Laboratory for Computer Science Technical Memo 254, Massachusetts Institute of Technology, Cambridge, MA, January 1984.
 
2
 
3
Steven A. Iieimlich. Traffic characterization of the NSFNET national backbone, in Proceedings USENIX, January 1990.
 
4
Raj J ain. Characteristics of destination address local!t,y in computer networks: A comparison of caching schemes. Technical Report 592, Digital Equipment Corporation, Littleton, MA, February 1989.
 
5
Raj J ain and Shawn A. Routhier. Packet trainsmea.surements and a new model for computer network traffic. IEEE Journal on Selected Areas in Communications, SAC 4:986-995, September 1986.
 
6
Mark J. Lorence and M. Satyanarayanan. IPwatch: a tool for monitoring network locality. In Proccedin.qs 4th Int. Conf. on Modelling T~chniques and Tools for Computer Performance Evaluation, Septernber 1988.
 
7
.iohlt Nagle. On packet switches with infinite storage. R FC* 970, Network Information Center, December 1985.
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