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Proceedings Paper

RACCOOM: a rate-based congestion control approach for multicasts
Author(s): Yuan Gao; Jennifer Chao-Ju Hou; Sanjoy Paul
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Paper Abstract

As continuous media multicast applications become widely deployed on the Internet, it becomes increasingly important to ensure these applications respond to network congestion in a TCP-friendly manner so as to coexist with TCP connections (which constitutes the majority of the Internet traffic). In this paper, we present a RAte-based Congestion COntrOl scheme for Multicasts, called RACCOOM, for continuous media multicast applications. In the absence of packet loss, a RACCOOM session keeps track of the congestion status of the on-tree path with the largest round trip time (called the target path), and adjusts its sending rate using a TCP Vegas-like method. RACCOOM is also equipped with mechanisms to deal with changes of the target path due to traffic change and member join/leave. Upon detection of packet loss anywhere in the multicast tree, RACCOOM then responds by reducing its sending rate by half in a TCP-Reno manner. The ACK aggregation method used in RACCOOM prevents ACK implosion and yet provides the sender with a simple but comprehensive view of congestion conditions in the multicast tree. To achieve TCP-friendliness, we have devised a simple method in RACCOOM to on-line adjust the parameters of its rate adjustment method. Alternatively, we can achieve (weighted) fairness among competing RACCOOM connections by tuning its parameters using results obtained from the control feedback theory. We validate the design, and demonstrate the features, of RACCOOM in ns-2. The encouraging simulation results coupled with the fact that all the RACCOOM operations can be performed at end hosts, suggest that RACCOOM is a practical, and yet effective congestion control solution for continuous media multicast applications.

Paper Details

Date Published: 25 July 2001
PDF: 15 pages
Proc. SPIE 4526, Scalability and Traffic Control in IP Networks, (25 July 2001); doi: 10.1117/12.434409
Show Author Affiliations
Yuan Gao, Ohio State Univ. (United States)
Jennifer Chao-Ju Hou, Ohio State Univ. (United States)
Sanjoy Paul, Edgix Corp. (United States)

Published in SPIE Proceedings Vol. 4526:
Scalability and Traffic Control in IP Networks
Sonia Fahmy; Kihong Park, Editor(s)

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