NDLI: An Improved Link Model for Window Flow Control and Its Application to FAST TCP

Content Provider	IEEE Xplore Digital Library
Author	Jacobsson, K. Andrew, L.L.H. Ao Tang Low, S.H. Hjalmarsson, H.
Copyright Year	1963
Abstract	This paper presents a link model which captures the queue dynamics in response to a change in a transmission control protocol (TCP) source's congestion window. By considering both self-clocking and the link integrator effect, the model generalizes existing models and is shown to be more accurate by both open loop and closed loop packet level simulations. It reduces to the known static link model when flows' round trip delays are identical, and approximates the standard integrator link model when there is significant cross traffic. We apply this model to the stability analysis of fast active queue management scalable TCP (FAST TCP) including its filter dynamics. Under this model, the FAST control law is linearly stable for a single bottleneck link with an arbitrary distribution of round trip delays. This result resolves the notable discrepancy between empirical observations and previous theoretical predictions. The analysis highlights the critical role of self-clocking in TCP stability, and the proof technique is new and less conservative than existing ones.
Sponsorship	IEEE Control Systems Society
Starting Page	551
Ending Page	564
Page Count	14
File Size	1376954
File Format	PDF
ISSN	00189286
Volume Number	54
Issue Number	3
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-01-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Protocols Stability analysis Traffic control Fluctuations Jacobian matrices Delay Feedback Control theory Fluid flow control Jitter fast active queue management scalable transmission control protocol (FAST TCP) Acknowledgments (ACKs)
Content Type	Text
Resource Type	Article
Subject	Control and Systems Engineering Electrical and Electronic Engineering Computer Science Applications

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