Rate adaptive shaping for the efficient transport of data traffic in diffserv networks

Cnodder, Stefaan De; Elloumi, Omar; Pauwels, Kenny

doi:10.1016/s1389-1286(00)00171-7

Cited by 3 publications

(4 citation statements)

References 17 publications

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“…DS define various classes which are standardized in three PHBs: best effort (BE), assured forwarding (AF), and expedited forwarding (EF). In this work, we focus on the mechanism used in DS domains to control and police the traffic entering at the edge routers based on packet marking and rate-adaptive shaping schemes [12,13]. The details of such schemes are described in the next subsections.…”

Section: Overview Of Quality Of Service In Ip Networkmentioning

confidence: 99%

“…In this section, we discuss the trTCM [12] scheme proposed in Reference [13]. trTCM marks packet based on a traffic contract.…”

Section: Packet Markingmentioning

confidence: 99%

“…Three RASs are considered for performance evaluation. We use the one proposed in Reference [12] as the performance benchmark and refer to it as trRAS. We propose two novel RASs, the first one is a modification of trRAS, and it is referred to as mtrRAS.…”

Section: Rate Adaptive Shapersmentioning

confidence: 99%

“…In this paper, we focus on the use of the DS two rate three colour marker (trTCM) approach [12,13] to evaluate the performance of rate-adaptive shapers (RASs) when transporting MPEG-4 [14,15] video. The trTCM has two token buckets: green and yellow.…”

Section: Introductionmentioning

confidence: 99%

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Smoothing and transporting video in QoS IP networks

Shuaib

Lakas

Sallabi

2005

Int J Communication

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SUMMARYReal-time traffic such as voice and video, when transported over the Internet, demand stringent quality of service (QoS) requirements. The current Internet as of today is still used as a best effort environment with no quality guarantees. An IP-based Internet that supports different QoS requirements for different applications has been evolving for the past few years. Video streams are bursty in nature due to the instant variability of the video content being encoded. To help mitigate the transport of bursty video streams with minimal loss of information, rate-adaptive shapers (RASs) are usually being used to reduce the burstiness and therefore help preserve the desired quality. When transporting video over a QoS IP network, each stream is classified under a specific traffic profile to which it must conform, to avoid packet loss and picture quality degradation. In this paper we study, evaluate and propose RASs for the transport of video over a QoS IP network. We utilize the encoding video parameters for choosing the appropriate configuration needed to support the real-time transport of Variable Bit Rate (VBR) encoded video streams. The performance evaluation of the different RASs is based on the transport of MPEG-4 video streams encoded as VBR. The performance is studied based on looking at the effect of various parameters associated with the RASs on the effectiveness of smoothing out the burstiness of video and minimizing the probability of packet loss.

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Section: Overview Of Quality Of Service In Ip Networkmentioning

confidence: 99%

“…In this section, we discuss the trTCM [12] scheme proposed in Reference [13]. trTCM marks packet based on a traffic contract.…”

Section: Packet Markingmentioning

confidence: 99%

Section: Rate Adaptive Shapersmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Smoothing and transporting video in QoS IP networks

Shuaib

Lakas

Sallabi

2005

Int J Communication

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A Dynamic Marking Scheme of Assured Service for Alleviating Unfairness among Service Level Agreements

Seok

Hong

Lee

et al. 2002

Management of Multimedia on the Internet

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Assured Service, which is a service model of the Internet Differentiated Services (DiffServ) architecture, is not currently well implemented on the Internet, mainly because TCP employs an AIMD (Additive Increase and Multiplicative Decrease) mechanism to control congestion. Many studies have shown that the current Assured Service model does not assure the target rate of high profile flows in the presence of numerous low profile flows, and does not equably distribute the reservation rate of an SLA among multiple flows included in the SLA. In this paper, the former problem is referred to as inter-SLA unfairness and the latter problem is referred to as intra-SLA unfairness. We propose a marking rule, called RAM (Rate Adaptive Marking) that simultaneously diminishes both of these unfairness problems. The RAM method marks sending packets, at a source node or at an edge router, in inverse proportion to throughput gain and in proportion to the reservation rate and throughput dynamics. Three experiments with the ns-2 simulator are performed to evaluate the RAM scheme. The simulation results show that the RAM scheme may significantly reduce inter-SLA unfairness and the intra-SLA unfairness.

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