Paper
1 July 2002 Designing a delay-based adaptive congestion control mechanism using control theory and system identification for TCP/IP networks
Author Affiliations +
Proceedings Volume 4865, Internet Performance and Control of Network Systems III; (2002) https://doi.org/10.1117/12.473384
Event: ITCom 2002: The Convergence of Information Technologies and Communications, 2002, Boston, MA, United States
Abstract
In the Internet, TCP (Transmission Control Protocol) has been used as an end-to-end congestion control mechanism. Of all several TCP implementations, TCP Reno is the most popular implementation. TCP Reno uses a loss-based approach since it estimates the severity of congestion by detecting packet losses in the network. On the contrary, another implementation called TCP Vegas uses a delay-based approach. The main advantage of a delay-based approach is, if it is properly designed, packet losses can be prevented by anticipating impending congestion from increasing packet delays. However, TCP Vegas was designed using not a theoretical approach but an ad hock one. In this paper, we therefore design a delay-based congestion control mechanism by utilizing the classical control theory. Our rate-based congestion control mechanism dynamically adjusts the packet transmission rate to stabilize the round-trip time for utilizing the network resources and also for preventing packet losses in the network. Presenting several simulation results in two network configurations, we quantitatively show the robustness and the effectiveness of our delay-based congestion control mechanism.
© (2002) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Mitsushige Morita, Hiroyuki Ohsaki, and Masayuki Murata "Designing a delay-based adaptive congestion control mechanism using control theory and system identification for TCP/IP networks", Proc. SPIE 4865, Internet Performance and Control of Network Systems III, (1 July 2002); https://doi.org/10.1117/12.473384
Lens.org Logo
CITATIONS
Cited by 4 scholarly publications.
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Control systems

System identification

Data modeling

Time metrology

Systems modeling

Adaptive control

Mathematical modeling

Back to Top