Abstract

The study of Quality of Service (QoS) has become of great importance since the Internet is used to support a wide variety of new services and applications with its legacy structure. Current Internet architecture is based on the Best Effort (BE) model, which attempts to deliver all traffic as soon as possible within the limits of its abilities, but without any guarantee about throughput, delay, packet loss, etc. We develop a three-layer policy based architecture which can be deployed to control network resources intelligently and support QoS sensi-tive applications such as real-time voice and video streams along with standard applications in the Internet. In order to achieve selected QoS parameter values (e.g. loss, delay and PDV) within the bounds set through SLAs for high priority voice traffic in the Internet, we used traffic engineering techniques and policy based routing supported by Border Gateway Protocol (BGP). Use of prototype and simulations validates function-ality of our architecture.

Highlights

  • The success of the Internet has brought a tremendous growth in business, education, entertainment, etc., over the last four decades

  • In order to achieve selected Quality of Service (QoS) parameter values within the bounds set through Service Level Agreement (SLA) for high priority voice traffic in the Internet, we used traffic engineering techniques and policy based routing supported by Border Gateway Protocol (BGP)

  • In order to be more specific on the issue of parameter mapping, we identified three important parameters related to real-time services such as VoIP application: a) Bandwidth: When different bandwidth capacities are available in different Autonomous System (AS) domains for a specific policy in an end-to-end QoS path, the BW allocated is the BW of the AS with the minimum available BW

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Summary

Introduction

The success of the Internet has brought a tremendous growth in business, education, entertainment, etc., over the last four decades. The Internet can be considered as a connection of Autonomous System (AS) domains, where each AS domain controls traffic routing in their own domain based on their own policies These policies are defined to benefit the AS domain without consideration of other AS domains, which may result in policy conflicts while establishing a flow to achieve a certain degree of QoS on an end-to-end basis.

An Integrated Architecture
Traffic Engineering Issues
Traffic Engineering Framework
Policy Routing
Policy Co-Ordination Algorithm
Simulation Results
Conclusions
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