| Using partial differential equations to model TCP mice and elephants in large IP networks |
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IEEE/ACM Transactions on Networking (TON)
archive
Volume 13 , Issue 6 (December 2005)
table of contents
Pages: 1289 - 1301
Year of Publication: 2005
ISSN:1063-6692
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Authors
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Marco Ajmone Marsan
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Dipartimento di Elettronica, Politecnico di Torino, Torino, Italy
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Michele Garetto
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Dipartimento di Elettronica, Politecnico di Torino, Torino, Italy
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Paolo Giaccone
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Dipartimento di Elettronica, Politecnico di Torino, Torino, Italy
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Emilio Leonardi
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Dipartimento di Elettronica, Politecnico di Torino, Torino, Italy
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Enrico Schiattarella
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Dipartimento di Elettronica, Politecnico di Torino, Torino, Italy
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Alessandro Tarello
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Dipartimento di Elettronica, Politecnico di Torino, Torino, Italy
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| Publisher |
IEEE Press
Piscataway, NJ, USA
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| Bibliometrics |
Downloads (6 Weeks): 6, Downloads (12 Months): 44, Citation Count: 2
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ABSTRACT
In this paper we propose a new fluid model approach in which a different description of the dynamics of traffic sources is adopted, exploiting partial differential equations. This new description of the source dynamics allows the natural representation of short-lived as well as long-lived TCP connections, with no sacrifice in the scalability of the model. In addition, the use of partial differential equations permits the description of distributions, instead of averages, thus providing better accuracy in the results.The comparison between the performance estimates obtained with fluid models and with ns-2 simulations proves the accuracy of the proposed modeling approach.
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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{1} F. Baccelli and D. Hong, "Interaction of TCP flows as billiards," in Proc. IEEE INFOCOM, San Francisco, CA, 2003, pp. 895-905.
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{2} F. Baccelli and D. Hong, "Flow level simulation of large IP networks," in Proc. IEEE INFOCOM , San Francisco, CA, 2003, pp. 1911-1921.
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Vishal Misra , Wei-Bo Gong , Don Towsley, Fluid-based analysis of a network of AQM routers supporting TCP flows with an application to RED, Proceedings of the conference on Applications, Technologies, Architectures, and Protocols for Computer Communication, p.151-160, August 28-September 01, 2000, Stockholm, Sweden
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{4} C. V. Hollot, V. Misra, D. Towsley, and W. B. Gong, "On designing improved controllers for AQM routers supporting TCP flows," in Proc. IEEE INFOCOM, Anchorage, AK, 2001, pp. 1726-1734.
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Yong Liu , Francesco Lo Presti , Vishal Misra , Don Towsley , Yu Gu, Fluid models and solutions for large-scale IP networks, Proceedings of the 2003 ACM SIGMETRICS international conference on Measurement and modeling of computer systems, June 11-14, 2003, San Diego, CA, USA
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{6} S. Deb, S. Shakkottai, and R. Srikant, "Stability and convergence of TCP-like congestion controllers in a many-flows regime," in Proc. IEEE INFOCOM, San Francisco, CA, 2003, pp. 884-894.
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{7} S. Shakkottai and R. Srikant, "How good are deterministic fluid models of internet congestion control?," in Proc. IEEE INFOCOM, New York, Jun. 2002, pp. 497-505.
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{8} P. Tinnakornsrisuphap and A. Makowski, "Limit behavior of ECN/RED gateways under a large number of TCP flows," in Proc. IEEE INFOCOM , San Francisco, CA, 2003, pp. 873-883.
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{12} L. Zhang and D. Clark, "Oscillating behavior of network traffic: A Case study simulation," Internetworking: Research and Experience, vol. 1, no. 2, pp. 101-112, 1990.
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{13} M. Ajmone Marsan, M. Garetto, P. Giaccone, E. Leonardi, E. Schiattarella, and A. Tarello. Using partial differential equations to model TCP mice and elephants in large IP network. {Online}. Available: http://www.tlc-networks.polito.it/database/ricer.htm
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S. Ben Fred , T. Bonald , A. Proutiere , G. Régnié , J. W. Roberts, Statistical bandwidth sharing: a study of congestion at flow level, Proceedings of the 2001 conference on Applications, technologies, architectures, and protocols for computer communications, p.111-122, August 2001, San Diego, California, United States
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INDEX TERMS
Primary Classification:
C.
Computer Systems Organization
C.2
COMPUTER-COMMUNICATION NETWORKS
C.2.5
Local and Wide-Area Networks
Subjects:
Internet (e.g., TCP/IP)
Additional Classification:
C.
Computer Systems Organization
C.4
PERFORMANCE OF SYSTEMS
Subjects:
Modeling techniques
G.
Mathematics of Computing
G.1
NUMERICAL ANALYSIS
G.1.8
Partial Differential Equations
General Terms:
Algorithms,
Design,
Experimentation,
Measurement,
Performance,
Theory
Keywords:
computer network performance,
differential equations,
modeling,
transport protocol,
wide-area networks
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