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Research Seminar - September 01, 2000

Seminar Announcement



Title: Development of a Network Capacity Management Simulation Tool
Speaker: Dr John Siliquini
  Principal Research Fellow,
Telecommunications, Electronics and Networking Research Group,
Department of Electrical and Electronic Engineering, UWA
Date: Friday 1st September, 2000
Time: 3.00pm
Venue: Seminar Room 1.24

Abstract

Today's network operators and service providers are offering an increasing number of new telecommunication services over various networking infrastructures. For example, there is growing interest in migrating telephony services away from circuit switched networks onto an Internet Protocol (IP) network infrastructure. The goal of the service provider in this case is to supply customers Quality of Service (QoS) guarantees (i.e. maintain stringent bounds on end-to-end packet delay) with the minimum possible network resources while maintaining an acceptable Grade of Service (GoS) (i.e. maintain a request blocking probability that is small). This requires the use of capacity planning and provisioning mechanisms to ensure that the network has adequate capacity to handle the expected traffic load at the required QoS level, and routing mechanisms to ensure that the offered traffic is routed over the network in a manner that makes the most efficient use of available network capacity. A network capacity management simulation tool was developed within the Telecommunications Electronics and Networking group to address these planning and provisioning issues. The simulation tool is suitable for analysing any packet switched network which support packet flows with diverse QoS requirements and traffic characteristics. In this seminar we will describe the network capacity management simulation tool and show how it can be used to investigate areas such as:
  • Allocation of network resources (e.g. bandwidth and switch buffers) methodologies to achieve a pre-defined QoS for a packet flow with specified traffic characteristics
  • Development of suitable routing algorithms that makes the most efficient use of available network capacity
  • Optimisation techniques for capacity and QoS dimensioning
  • Optimisation techniques for network architectures
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