Name
Abstract | ||
|---|---|---|
Nowadays, network planning and management tasks can be of high complexity, given the numerous inputs that should be considered
to effectively achieve an adequate configuration of the underlying network. This paper presents an optimization framework
that helps network administrators in setting the optimal routing weights of link state protocols according to the required
traffic demands, contributing in this way to improve the service levels quality provided by the network infrastructure. Since
the envisaged task is a NP-hard problem, the framework resorts to Evolutionary Computation as the optimization engine. The
focus is given to the use of multi-objective optimization approaches given the flexibility they provide to network administrators
in selecting the adequate solutions in a given context. Resorting to the proposed optimization framework the administrator
is able to automatically obtain highly optimized routing configurations adequate to support the requirements imposed by their
customers. In this way, this novel approach effectively contributes to enhance and automate crucial network planning and management
tasks.
|
Year | DOI | Venue |
|---|---|---|
2011 | 10.1007/978-3-642-21560-5_9 | WWIC |
Keywords | DocType | Volume |
network infrastructure,traffic engineering,multicriteria optimization technique,underlying network,multi-objective optimization,automate crucial network planning,optimization framework,network administrator,network planning,optimization engine,proposed optimization framework,management task | Conference | 6649 |
ISSN | Citations | PageRank |
0302-9743 | 2 | 0.39 |
References | Authors | |
10 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Pedro Sousa | 1 | 174 | 25.25 |
| Paulo Cortez | 2 | 157 | 12.29 |
| Miguel Rocha | 3 | 2 | 0.39 |
| Miguel Rocha | 4 | 511 | 54.06 |