Performance of AQM Routers in the Presence of New TCP Variants

Chydziñski, Andrzej; Brachman, Agnieszka

doi:10.1109/afin.2010.22

Cited by 13 publications

(12 citation statements)

References 24 publications

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“…By getting closer to the scope of this paper, as the best of our knowledge, only one work has tried to compare AQM algorithms considering different TCP version used in the network, this work is reported in [26]. The environment is similar to the one depicted in [25] but, unfortunately, only two major TCP variants have been considered, i.e.…”

Section: Related Workmentioning

confidence: 97%

Which AQM fits IoT better?

Grazia

Patriciello

Klapez

et al. 2017

2017 IEEE 3rd International Forum on Research and Technologies for Society and Industry (RTSI)

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Most of the Internet traffic is carried by Transmission Control Protocol (TCP) nowadays, even in the case of real-time services and IoT environments. A key point of each TCP variant that defines the specific variant trademark is the congestion control algorithm. This congestion control, alone, is not able to mitigate the congestion problem completely; the most efficient solution, to be coupled with it, is the Active Queue Manager (AQM). In this paper, we analyze the response to congestion provided by the novel AQMs when coupled with popular TCP variants and, has happened in IoT networks, with a mix of TCP variants simultaneously active on the network. We provide extensive simulations within ns-3 to highlight what is the better AQM solution for IoT networks by considering the TCP algorithm and other environmental conditions like the number of active nodes, the network RTT and the presence of multiple RTT flows. We collected network metrics like throughput, goodput, latency, RTT variation, flows' fairness and a simple drop analysis.

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Section: Related Workmentioning

confidence: 97%

Which AQM fits IoT better?

Grazia

Patriciello

Klapez

et al. 2017

2017 IEEE 3rd International Forum on Research and Technologies for Society and Industry (RTSI)

View full text Add to dashboard Cite

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“…Chydzinski A. et al [1] has studied the performance of AQM algorithms in Internet routers in presence of new versions of the TCP congestion control mechanism. They compared the performance of droptail, adaptive RED [5], AVQ [11], PI [8] and REM [13] queuing in four TCP cases: classic New Reno, Sack, Fack and Cubic.…”

Section: Related Workmentioning

confidence: 99%

Interaction of High Speed TCPs with Recent AQMs through Experimental Evaluation

Kushwaha¹,

Ratneshwer²

2016

IJCNIS

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Abstract-Congestion control approaches, source based approach and router based approach have their own limitations. In source based approach, it is difficult to get correct location of congestion and without proper admission control; we cannot effectively manage the congestion problem. Thus both the approaches have to work in coordination for effective congestion control. In this context, an interaction study plays an important role to verify how a TCP implemented at source end works with Active Queue Management at router end. In this paper, we analyzed the performance of different high speed TCP variants at the source end with some recent AQM approaches: CoDel and sfqCoDel. The main objective of this work is to obtain the interaction patterns of different high speed TCP variants like: HTCP, Compound, HSTCP, Scalable and Cubic with recently proposed AQMs: CoDel and sfqCoDel. Simulation results show that that if we want to achieve a better throughput, minimum delay and improved fairness simultaneously, Cubic-sfqCoDel may be a good choice of TCP-AQM combinations for high speed networks.

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“…A large number of papers have studied the performance of TCP and ECN, see [14,15,16,17,18,19] as a not exhaustive list, but the main focus is on the behaviour of a single TCP connection under various scenarios. More similar to the analysis carried out here is that proposed in [20] where the authors consider the overall system performance in the mean field approximation for ECN/RED.…”

Section: Introductionmentioning

confidence: 99%