Overview of Pre-Congestion Notification Encoding

Karagiannis, Georgios; Chan, Kwok-Ho; Moncaster, Toby; Menth, Michael; Eardley, Philip; Briscoe, Bob

doi:10.17487/rfc6627

Cited by 2 publications

(2 citation statements)

References 14 publications

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“…The PCN Working Group currently standardized PCN's metering and marking behaviour [4] as well as a first encoding scheme for marked packets [24]. Several encoding alternatives have been defined [25,26] as well as different possible behaviours at the edge of the PCN domain [27,28]. For more information about PCN's performance and a survey of PCN's algorithms we refer to [29,30].…”

Section: Admission Controlmentioning

confidence: 99%

Joint In-network Video Rate Adaptation and Measurement-Based Admission Control: Algorithm Design and Evaluation

Latré

Turck

2012

J Netw Syst Manage

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The important new revenue opportunities that multimedia services offer to network and service providers come with important management challenges. For providers, it is important to control the video quality that is offered and perceived by the user, typically known as the Quality of Experience (QoE). Both admission control and scalable video coding techniques can control the QoE by blocking connections or adapting the video rate but influence each other's performance. In this article, we propose an in-network video rate adaptation mechanism that enables a provider to define a policy on how the video rate adaptation should be performed to maximize the provider's objective (e.g., a maximization of revenue or QoE). We discuss the need for a close interaction of the video rate adaptation algorithm with a measurement based admission control system, allowing to effectively orchestrate both algorithms and timely switch from video rate adaptation to the blocking of connections. We propose two different rate adaptation decision algorithms that calculate which videos need to be adapted: an optimal one in terms of the provider's policy and a heuristic based on the utility of each connection. Through an extensive performance evaluation, we show the impact of both algorithms on the rate adaptation, network utilisation and the stability of the video rate adaptation. We show that both algorithms outperform other configurations with at least 10%. Moreover, we show that the proposed heuristic is about 500 times faster than the optimal algorithm and experiences only a performance drop of approximately 2%, given the investigated video delivery scenario.

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Section: Admission Controlmentioning

confidence: 99%

Joint In-network Video Rate Adaptation and Measurement-Based Admission Control: Algorithm Design and Evaluation

Latré

Turck

2012

J Netw Syst Manage

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“…The publication of RFC 6040 removed the tunnelling constraints that existed when the encoding of [RFC5696] was written (see Section 3.3.2 of [RFC6627]). …”

Section: Requirements Imposed By Tunnellingmentioning

confidence: 99%

Encoding Three Pre-Congestion Notification (PCN) States in the IP Header Using a Single Diffserv Codepoint (DSCP)

Moncaster¹,

Menth²,

Briscoe³

2012

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The objective of Pre-Congestion Notification (PCN) is to protect the quality of service (QoS) of inelastic flows within a Diffserv domain. The overall rate of PCN-traffic is metered on every link in the PCNdomain, and PCN-packets are appropriately marked when certain configured rates are exceeded. Egress nodes pass information about these PCN-marks to Decision Points that then decide whether to admit or block new flow requests or to terminate some already admitted flows during serious pre-congestion.

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Overview of Pre-Congestion Notification Encoding

Cited by 2 publications

References 14 publications

Joint In-network Video Rate Adaptation and Measurement-Based Admission Control: Algorithm Design and Evaluation

Joint In-network Video Rate Adaptation and Measurement-Based Admission Control: Algorithm Design and Evaluation

Encoding Three Pre-Congestion Notification (PCN) States in the IP Header Using a Single Diffserv Codepoint (DSCP)

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