Dynamic-CBT and ChIPS—router support for improved multimedia performance on the Internet

Chung, Jae; Claypool, Mark

doi:10.1145/354384.354492

Cited by 11 publications

(9 citation statements)

References 11 publications

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“…To solve this problem, some schemes have incorporated a dropping probability that is attached to the requirements or the class of the type of traffic that they belong to. Dynamic-Class Based Thresholds (D-CBT) [10] apply different policies when classifying flows into three classes, TCP, UDP (multimedia) and other UDP. In this case, D-CBT applies the same dropping probability to VoIP as to other multimedia flows.…”

Section: Related Workmentioning

confidence: 99%

User-Level Quality Assessment of a Delay-Aware Packet Dropping Scheme for VoIP

Álvarez-Flores

Ramos-Muñoz

Navarro-Ortiz

et al. 2011

NPA

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To deal with congestion control in internet protocol (IP) networks, different active queue management schemes have been successfully proposed. However, many of these schemes do not take into consideration the particular Voice over Internet Protocol (VoIP) requirements, thereby potentially penalizing this traffic. In this paper, we propose and evaluate a dropping packet selection algorithm for queue management schemes. This algorithm, called Drop-SwD, protects VoIP traffic without affecting other User Datagram Protocol (UDP) and Transmission Control Protocol (TCP) traffic. Additionally, to preserve the quality of the VoIP service, the proposed algorithm selects the lowest quality packets (with less impact on the subjective quality) to be dropped.The application of the algorithm in different active queue management schemes is evaluated using objective and subjective quality metrics and intelligibility metrics as well. As a result, we show that Drop-SwD improves the final quality of the voice packets' flow, without degrading the performance of other traffic class, with respect to the packet dropping schemes of reference.

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Section: Related Workmentioning

confidence: 99%

User-Level Quality Assessment of a Delay-Aware Packet Dropping Scheme for VoIP

Álvarez-Flores

Ramos-Muñoz

Navarro-Ortiz

et al. 2011

NPA

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“…With this type of algorithms, for every non-TCP class a threshold is defined, setting a limit to the maximum amount of packets that a certain class can achieve in the queue. CBT [16] and DCBT [17] characterized this class of AQM algorithms as well as SHRED [18].…”

Section: Classical Active Queue Management (Aqm)mentioning

confidence: 99%

FQL‐RED: an adaptive scalable schema for active queue management

et al. 2010

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SUMMARYIn a potentially congested network, random early detection (RED) active queue management (AQM) proved effective in improving throughput and average queuing delay. The main disadvantage of RED is its sensitive parameters that are impossible to estimate perfectly and adjust manually because of the dynamic nature of the network. For this reason, RED performs differently during different phases of a scenario and there is no guarantee that it will have optimal performance. Giving adaptability to RED has been the subject of broad research studies ever since RED was proposed. After a substantial study of AQM schemes and presenting a novel categorization for so-called modern approaches utilizing artificial intelligence tools to improve AQM, this paper proposes an algorithm enhancing RED as an add-on patch that makes minimal changes to the original RED. Being built on the basis of AQM schemes like ARED and Fuzzy-RED, this algorithm inherits adaptability and is able to adjust RED inaccurate parameters regarding network traffic status, trying to optimize throughput and average queuing delay in a scenario. This algorithm is a Q-learning method enhanced with a fuzzy inference system to provide RED with self-adaptation and improved performance as a result. Given the name of FQL-RED, this algorithm outperformed RED, ARED, and Fuzzy-RED, as the OPNET simulations show.

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“…For instance, Flow Random Early Drop (FRED, [12]) and Approximate Fair Dropping (AFD, [13]). Additionally, the Dynamic Class Based Thresholds (D-CBT, [14]) method prevents congestion by using flow classification and applying distinct policies according to the given flow class.…”

Section: Active Queue Managementmentioning

confidence: 99%

Selective packet dropping for VoIP and TCP flows

Álvarez-Flores¹,

Ramos-Muñoz²,

Ameigeiras³

et al. 2009

Telecommun Syst

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The adoption of the IP protocol for serving diverse applications arises the need for mechanisms to prevent network congestion in scenarios with different traffic types (responsive and unresponsive) sharing limited network resources. To deal with this issue, a number of algorithms for active queue management (AQM) have been proposed. However, most of them do not observe the traffic type and usually disregard this knowledge. In this way, the provided service could not comply with the distinctive requirements of the different type of traffic, such as VoIP services, which demand bounded packet latency and loss rate.This paper proposes a new approach to be applied for preventing network congestion in AQM routers. Our scheme includes a procedure for selecting the packet to be dropped that improves the fairness among different classes of flows. We evaluate the use of this approach on distinct AQM schemes in scenarios with different degrees of UDP and TCP traffic mix. Objective and subjective performance measurements are reported. The experimental evaluation indicates that our approach improves the fairness among different traffic classes without using any packet scheduler. In fact, it also improves the VoIP traffic performance in terms of packet dropping probability, MOS (Mean Opinion Score) and intelligibility. We also show that our approach has no negative impact on the packet delay. Moreover, it is not achieved at the expense of TCP responsive traffic.

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Dynamic-CBT and ChIPS—router support for improved multimedia performance on the Internet

Cited by 11 publications

References 11 publications

User-Level Quality Assessment of a Delay-Aware Packet Dropping Scheme for VoIP

User-Level Quality Assessment of a Delay-Aware Packet Dropping Scheme for VoIP

FQL‐RED: an adaptive scalable schema for active queue management

Selective packet dropping for VoIP and TCP flows

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