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TCP/IP traffic dynamics and network performance: a lesson in workload modeling, flow control, and trace-driven simulations
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Volume 31 ,  Issue 2  (April 2001) table of contents
SESSION: Papers table of contents
Pages: 25 - 37  
Year of Publication: 2001
ISSN:0146-4833
Authors
Youngmi Joo  Stanford University, CA
Vinay Ribeiro  Rice University, Houston
Anja Feldmann  Universität des Saarlandes, Saarbrücken, Germany
Anna C. Gilbert  AT&T Labs-Research, Florham Park, NJ
Walter Willinger  AT&T Labs-Research, Florham Park, NJ
Publisher
ACM  New York, NY, USA
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ABSTRACT

The main objective of this paper is to demonstrate in the context of a simple TCP/IP-based network that depending on the underlying assumptions about the inherent nature of the dynamics of network traffic, very different conclusions can be derived for a number of well-studied and apparently well-understood problems in the area of performance evaluation. For example, a traffic workload model can either completely ignore the empirically observed high variability at the TCP connection level (i.e., assume "infinite sources") or explicitly account for it with the help of heavy-tailed distributions for TCP connection sizes or durations. Based on detailed ns-2 simulation results, we illustrate that these two commonly-used traffic workload scenarios can give rise to fundamentally different buffer dynamics in IP routers. Using a second set of ns-2 simulation experiments, we also illustrate a qualitatively very different queueing behavior within IP routers depending on whether the traffic arriving at the router is assumed to be endogenous in nature (i.e., a result of the "closed loop" nature of the feedback-based congestion control algorithm of TCP) or exogenously determined (i.e., given by some conventional traffic model --- a fixed "open loop" description of the traffic as seen by the router).


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.

 
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CITED BY  10
Collaborative Colleagues:
Youngmi Joo: colleagues
Vinay Ribeiro: colleagues
Anja Feldmann: colleagues
Anna C. Gilbert: colleagues
Walter Willinger: colleagues