Proceedings of ICC'97 - International Conference on Communications
DOI: 10.1109/icc.1997.595022
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Improving congestion avoidance algorithms for asymmetric networks

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Cited by 18 publications
(9 citation statements)
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“…To prevent the performance degradation of TCP Vegas in asymmetric networks, Elloumi et al [13] proposed a modified algorithm. It divides a RTT into a forward trip time and a backward trip time in order to remove the effects of backward path congestion.…”
Section: Related Workmentioning
confidence: 99%
See 1 more Smart Citation
“…To prevent the performance degradation of TCP Vegas in asymmetric networks, Elloumi et al [13] proposed a modified algorithm. It divides a RTT into a forward trip time and a backward trip time in order to remove the effects of backward path congestion.…”
Section: Related Workmentioning
confidence: 99%
“…Although Vegas is superior to Reno in the aforementioned aspects, it suffers some problems that inhere in its congestion avoidance scheme, these include issues of rerouting [9], persistent congestion [9], fairness [10][11][12], network asymmetry, [13][14][15], and incompatibility between Reno and Vegas [9,16,17]. All these problems may be obstacles for Vegas to achieve a success.…”
Section: Introductionmentioning
confidence: 99%
“…The algorithm that we propose is designed on the basis of previous study [4] in which we propose to separate the RTT evaluation into a Forward trip time (FTT) and a backward trip time (RTT). The main motivation comes from the nature of data congestions that may happen in either direction of a TCP connection.…”
Section: Static Algorithmmentioning
confidence: 99%
“…As long as the aggregate load is spread evenly between the upstream channels, the downstream channel can be driven to 100% utilization. Another approach that has been proposed for both DOCSIS and wireless networks is ACK filtering [11,12,13,14]. CableLabs is currently evaluating if they should add ACK filtering capabilities to the next version of DOCSIS [15].…”
Section: IImentioning
confidence: 99%