Abstract
The design of regular virtual topologies to facilitate optical packet switching in networks with arbitrary physical topologies is studied in this paper. Due to the intractable nature of the problem, two different artificial intelligence based heuristics are used to find favourable solutions expeditiously. The impact that the spread of the degree of physical topology nodes has on the quality of solutions obtained is investigated. Two important counter-intuitive findings emerge from this paper. Firstly, increasing the spread of the nodal degree in the physical topology leads to an improvement in the quality of initial non-optimised (or random) solutions. Secondly and conversely, increasing the spread of nodal degree has a detrimental impact on the final optimised solutions obtained. Both these surprising conclusions are explained by introducing novel estimates for the initial cost and the margin for improvement on this cost. The results produced in this paper are interesting and are applicable to the design of regular virtual topologies in generic physical topologies and additionally, suggest principles that are applicable to the wider area of telecommunication network design.
Original language | English |
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Title of host publication | Communications, 2002. ICC 2002. IEEE International Conference on |
Publisher | IEEE |
Pages | 2827 - 2831 |
ISBN (Print) | 0-7803-7400-2 |
DOIs | |
Publication status | Published - 2002 |
Event | International Conference on Communications 2002 - New York, NY, , United States Duration: 28 Apr 2002 → 2 May 2002 |
Conference
Conference | International Conference on Communications 2002 |
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Country/Territory | United States |
City | New York, NY, |
Period | 28/04/02 → 2/05/02 |
Keywords
- telecommunication network topology
- circuit topology
- costs
- high speed optical techniques
- network topology
- optical design
- optical fiber networks
- optical packet switching
- resistance heating
- routing
- artificial intelligence
- packet switching
- optical switches
- optical fibre networks
- multiprocessor interconnection networks
- graph theory