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Research Seminar - September 01, 2000
Seminar Announcement
| Title: |
Development of a Network Capacity Management Simulation Tool
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| Speaker: |
Dr John Siliquini |
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Principal Research Fellow,
Telecommunications, Electronics and Networking Research Group,
Department of Electrical and Electronic Engineering, UWA
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| 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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