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

Moncaster, Toby; Menth, Michael; Briscoe, Bob

doi:10.17487/rfc6660

Cited by 6 publications

(12 citation statements)

References 14 publications

(33 reference statements)

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“…Furthermore, this tunneling mode cannot be used when marked or not-marked packets should be preferentially dropped, because the PCN-marking information is possibly not visible in the outer header of a packet. [RFC6660]), extends the baseline encoding, and supports the simultaneous use of both excess-traffic-marking and threshold-marking. 3-in-1 encoding well supports the preferred CL-PCN and also SM-PCN.…”

Section: Limited-functionality Optionmentioning

confidence: 87%

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Overview of Pre-Congestion Notification Encoding

Karagiannis¹,

Chan²,

Moncaster³

et al. 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. On every link in the PCN-domain, the overall rate of PCN-traffic is metered, and PCN-packets are appropriately marked when certain configured rates are exceeded. Egress nodes provide decision points with information about the PCN-marks of PCN-packets that allows them to take decisions about whether to admit or block a new flow request, and to terminate some already admitted flows during serious pre-congestion.

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Section: Limited-functionality Optionmentioning

confidence: 87%

“…The PCN working group decided to use a combination of the 6-bit Differentiated Services (DS) field and the ECN field for the encoding of the PCN-marks (see [RFC6660]). This section describes the criteria that are used to compare the resulting encoding options described in Section 4.…”

Section: Encoding Constraintsmentioning

confidence: 99%

Overview of Pre-Congestion Notification Encoding

Karagiannis¹,

Chan²,

Moncaster³

et al. 2012

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“…A report contains the NM rate , ThM rate and ETM rate , the amount of traffic which is NM, ThM or ETM marked as per [4] , per aggregate in bytes per second. We added the flow-rate.…”

Section: Signaling In the Cpcnmentioning

confidence: 99%

“…With NM rate , ThM rate and ETM rate we denote the amount of traffic that is either not-marked (NM), threshold-marked (ThM) and excess-traffic-marked (ETM). The marking occurs in the ECN bits in the TOS byte in the IP header as per [4] . When packets leave the network, the rate of NM, ThM and ETM marked traffic is reported to the DP.…”

Section: Signaling In the Cpcnmentioning

confidence: 99%

“…Hence, it is expected that results from existing research on the effectiveness of dPCN are also valid when cPCN is used. As in the aforementioned references [1][2][3][4][5][6] , our specifications and simulations are based on 'traditional' networks assuming an interior gateway protocol and destination based forwarding. However, the cPCN signaling architecture fits very well to the centralized nature of the control architecture of emerging Software Defined Networks (SDN, see e.g.…”

Section: Introductionmentioning

confidence: 99%

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Flow termination signaling in the centralized pre-congestion notification architecture

et al. 2017

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a b s t r a c tPre-congestion notification (PCN) protects inelastic traffic by using feedback on network link loads on and acting upon this accordingly. These actions comprise to admission control and termination of flows. Two PCN architectures have been defined by IETF: the centralized and decentralized PCN architecture. The decentralized PCN architecture has received much attention in the literature whereas the centralized PCN architecture has not. In the decentralized architecture, feedback is sent from the egress nodes to ingress nodes, which then take and apply decisions regarding admission of new flows and/or termination of ongoing flows. Signaling occurs only between ingress and egress nodes.In the centralized architecture these decisions are made at a central node, which requires proper signaling for action and information exchange between the central node and the egress and ingress nodes. This signaling has been suggested by other authors, but is not fully defined yet. Our contribution is twofold. We define signaling in the centralized PCN architecture focussing on flow termination, which completes the definition of the signaling in the centralized PCN architecture. Secondly, we run extensive simulations showing that the proposed signaling works well and that the performances of the centralized PCN and the decentralized PCN architectures are similar. Hence, it is expected that results from existing research on the effectiveness of decentralized PCN are also valid when the centralized PCN architecture is used.

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

Cited by 6 publications

References 14 publications

Overview of Pre-Congestion Notification Encoding

Overview of Pre-Congestion Notification Encoding

Flow termination signaling in the centralized pre-congestion notification architecture

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

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