Name
Abstract | ||
|---|---|---|
The traffic to be carried by today's European backbone networks increases very rapidly. An important portion of this traffic consists of data traffic (mainly IP-related). In the future data traffic is expected to become the abundantly dominant traffic type, while voice traffic will only account for a very small portion of the total traffic volume. In this paper, some network topologies for such a pan-European fiber-optic backbone network are presented (more details can be found in [1]). These topologies are compared in terms of the efficiency of the network design both from a cost and capacity point of view and in terms of the availability of the connections routed over this network. In order to be able to assess the network topologies under realistic circumstances, the expected traffic demand is forecasted. This enables to make the comparison for the current traffic volume as well as for the traffic patterns of the future. As not all types of (data) traffic require the same degree of survivability and in order to leverage the total capacity cost of the network design, a distinction is made between different recovery options in the optical layer for the different traffic types considered. |
Year | DOI | Venue |
|---|---|---|
2003 | 10.1023/A:1023088418684 | Photonic Network Communications |
Keywords | Field | DocType |
pan-European fiber-optic topologies,traffic forecast,availability,expected loss of traffic | Traffic generation model,Teletraffic engineering,Network planning and design,Internet traffic engineering,Computer science,Floating car data,Computer network,Traffic shaping,Network traffic simulation,Network traffic control,Distributed computing | Journal |
Volume | Issue | ISSN |
5 | 3 | 1572-8188(Series Online ISSN)1387-974X(Series Print ISSN) |
Citations | PageRank | References |
70 | 6.94 | 3 |
Authors | ||
10 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| S. De Maesschalck | 1 | 173 | 19.17 |
| D. Colle | 2 | 1255 | 138.20 |
| Ilse Lievens | 3 | 91 | 10.60 |
| Mario Pickavet | 4 | 1000 | 110.08 |
| Piet Demeester | 5 | 3471 | 363.78 |
| Christian Mauz | 6 | 71 | 7.33 |
| Monika Jaeger | 7 | 70 | 7.28 |
| R. Inkret | 8 | 94 | 12.98 |
| Branko Mikac | 9 | 134 | 21.89 |
| Jan Derkacz | 10 | 72 | 8.01 |