Information Model for Describing Network Device QoS Datapath Mechanisms

Moore, Benjamin; Durham, David; Strassner, John; Westerinen, Andrea; Weiss, Walter

doi:10.17487/rfc3670

Cited by 19 publications

(4 citation statements)

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“…In this work we model devicelevel policies based on the DiffServ Policy Information Base (PIB). We opted to use the DiffServ PIB, in favour of QDDIM (Information model for Describing Network Device QoS Datapath Mechanisms) (Moore et al, 2004) because of its simplicity and acceptance. Furthermore COPS-PR is designed to transfer policies modelled using the DiffServ PIB, and in order to provide a fair comparison between the alternative policy provision scheme presented in this paper and traditional COPS-PR schemes both schemes have to be based on the same model.…”

Section: Proposed Policy Frameworkmentioning

confidence: 99%

Policy-Based Management of Diffserv Using XML Technologies

Carrilho¹,

Ventura²

2007

Proceedings of the Third International Conference on Web Information Systems and Technologies

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A design, implementation, and evaluation of a Policy-based Management framework for DiffServ networks using XML technologies is presented. XML is used for policy representation throughout the entire policy life cycle, as well as in the communication protocol, reducing development costs, while promoting clarity, simplicity, and interoperability. Furthermore, performance evaluation results show that the proposed scheme generates less network traffic than its COPS-PR counterpart when protocol messages are compressed. Moreover, XML messages generate higher processing delays. The added processing overhead caused by compression to XML messages is very small, thus the gains in reduced network traffic generated outweigh the losses in terms of processing delays.

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Section: Proposed Policy Frameworkmentioning

confidence: 99%

Policy-Based Management of Diffserv Using XML Technologies

Carrilho¹,

Ventura²

2007

Proceedings of the Third International Conference on Web Information Systems and Technologies

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“…QoS policies are mainly focussed on management of IntServ and DiffServ resource allocation by the network administrator. IETF also focussed on management of network device QoS data path mechanisms using policies (Moore et al, 2004).…”

Section: Qos Measurement Policiesmentioning

confidence: 99%

POLICY BASED QOS MONITORING - Automated Learning Strategies for Policy Enhancement

Aranda-Gutiérrez¹,

Wagner²,

Miloucheva³

et al. 2007

Proceedings of the Second International Conference on Wireless Information Networks and Systems

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A challenge of today's measurement architectures for QoS/SLA monitoring in heterogeneous network environment is enhanced intelligence in order to minimise measurements and derive automatically optimised measurement strategies for the network operators. Such optimisations can be done with different goals-avoid redundant measurements, sharing of measurements for different QoS monitoring goals and enhancement of measurement strategies considering QoS/SLA measurement requests. For automated optimisation of measurement strategies, QoS measurement policies are proposed whose parameters are adapted dynamically based on specified learning algorithms and rules. For the policy adaptation different kinds of learning can be used, as for instance reinforcement and supervised learning. The integration of the proposed policy based strategies into policy management architecture is discussed. A learning component collecting rules and algorithms for measurement policy adaptation is proposed which can be used by different tools of a policy management system. A graphical user interface (GUI) for a realistic policy based measurement scenario is discussed which aims to optimise the measurement strategies of the network operator.

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“…This model defines the roles, the priorities and the execution orders, but stays in a quite abstract form concerning objects. Concerning QoS, two extension levels were defined: the QoS Policy Information Model (QPIM) 5 which defines precise actions to be realized on the packages and the QoS Device Datapath Information Model (QDDIM) 6 which defines the actions to be undertaken on the network element. Within the policy-based management framework, the significant issue to allow the automation of the management process is automatic translation, on the one hand, of the service contract (SLS-Service Level Specification) into policy rules and, on the other hand, of the high-level policy rules obtained into policies which are understandable by the network element.…”

Section: Policy-based Qos Managementmentioning

confidence: 99%

Self‐aware management of IP networks with QoS guarantees

Krief

2004

Int J Network Mgmt

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Self-aware management allows the network to react and to adapt to changes of situation. In this paper an architecture is described for selfaware management of IP networks offering QoS guarantees. This architecture uses policy-based management and multi-agent systems. The originality of the present approach lies in the intention to give a real autonomy to the components intervening in the chain of services in terms of internal decisions and configuration. Our solution allows the selfconfiguration, self-provisioning and self-monitoring of service as well as the proactive service level agreement management.

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Information Model for Describing Network Device QoS Datapath Mechanisms

Cited by 19 publications

References 0 publications

Policy-Based Management of Diffserv Using XML Technologies

Policy-Based Management of Diffserv Using XML Technologies

POLICY BASED QOS MONITORING - Automated Learning Strategies for Policy Enhancement

Self‐aware management of IP networks with QoS guarantees

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