A Two Rate Three Color Marker

Heinänen, Juha; Guérin, Roch

doi:10.17487/rfc2698

Cited by 238 publications

(100 citation statements)

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“…The two rate three colour marker (trTCM) [9] utilises four conditioning parameters: PIR (peak information rate), PBS (peak burst size), CIR, and CBS. These correspond to two token buckets employed to do the metering.…”

Section: Differentiated Services Domainmentioning

confidence: 99%

“…Consequently, the srTCM will classify no packet as yellow. One should also note that the specifications of the srTCM and trTCM [8,9] point out that, for them to work according to expectation, the sizes of the buckets in the conditioners should be at least as large as the largest expected packet. From the above one can deduce that the size of the packet does not generally affect the relative performance of the traffic conditioners.…”

Section: Large Packet Sizementioning

confidence: 99%

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A comparison of simulated traffic conditioner performance

Strauss

Kourie

Olivier

2008

Computer Communications

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a b s t r a c tIn this paper, the simulated performance of a number of differentiated services traffic conditioners is studied under a range of synthetic traffic conditions. The traffic conditioners are compared using two performance measures which are defined and justified in the paper.In the initial simulation the traffic conditioner performance differed in one measure but not the other. Further experimentation showed that one could get all the conditioners to have similar performance by setting carefully the configuration parameters of the conditioners.

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Section: Differentiated Services Domainmentioning

confidence: 99%

Section: Large Packet Sizementioning

confidence: 99%

A comparison of simulated traffic conditioner performance

Strauss

Kourie

Olivier

2008

Computer Communications

View full text Add to dashboard Cite

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“…Algorithms such as Time Sliding Window Three Colour Marker (TSWTCM) [14] and a Two Rate Three Color Marker (TRTCM) [15] can be used to mark IP packets processed by the edge router to receive a particular PHB. Such algorithms meter the traffic stream and mark packets based on the measured throughput rather than the charac teristics of the traffic (delay, loss, jitter, etc.).…”

Section: Static Policy Decisionmentioning

confidence: 99%

A measurement-based approach for dynamic QoS adaptation in DiffServ networks

Ahmed

Boutaba

Mehaoua

2005

Computer Communications

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This paper presents a practical approach to managing multimedia traffic in DiffServ network, using network monitoring feedback and control. We exploit the flexibility of multimedia traffic and process network level parameters to adapt the traffic according to the current state of the network. The latter is determined based on reports sent by bandwidth monitors installed on each node of a DiffServ Domain. The bandwidth monitors interact with a policy server which, depending on the network state, decides the policy(ies) that should be enforced by the DiffServ network. The implementation of the selected policies typically leads to accepting, remarking, or dropping the multimedia traffic entering the network. Multimedia streams may be assigned different levels of QoS, as interpreted by the marker at the DiffServ edge router and marked according to network state. To achieve such dynamic QoS adaptation for multimedia applications, we have implemented and evaluated a policy-based management system. Performance evaluation shows that multimedia applications adapt better to network conditions using our approach. q

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“…Some algorithms such as Time Sliding Window Three Colour Marker (TSWTCM) [5] and a Two Rate Three Color Marker (TRTCM) [6] can be used to mark IP packets treated by the edge router with a Diffserv PHB. These algorithms meter the traffic stream and marks packets based on measured throughput.…”

Section: Static Policy Decisionmentioning

confidence: 99%

Dynamic QoS Adaptation Using COPS and Network Monitoring Feedback

Ahmed

Mehaoua

Boutaba

2002

Management of Multimedia on the Internet

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Abstract. This paper presents an approach to handle out of profile traffic using Common Open Policy Service and network monitoring feedback. The proposed approach is based on monitoring and reporting information sent by bandwidth monitors installed on each node of a Diffserv Domain. A monitor interacts with Policy Decision Point. This later, depending on the network state, pushes p olicy decision rules to the Policy Enforcement Point in order to accept, remark or drop out -of-profile traffic dynamically. This allows a dynamic reallocation and management of network resources based on current network state and applications QoS requirements. An implementation and a performance evaluation of the dynamic QoS adaptation framework using a Java COPS and a Linux-based network testbed are also presented.

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A Two Rate Three Color Marker

Cited by 238 publications

References 0 publications

A comparison of simulated traffic conditioner performance

A comparison of simulated traffic conditioner performance

A measurement-based approach for dynamic QoS adaptation in DiffServ networks

Dynamic QoS Adaptation Using COPS and Network Monitoring Feedback

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