Name
Abstract | ||
|---|---|---|
This paper proposes a novel traffic engineering framework able to automatically provide near-optimal OSPF routing configurations for QoS con- strained scenarios. Within this purpose, this work defines a mathematical model able to measure the QoS compliance in a class-based networking domain. Based on such model, the NP-hard optimization problem of OSPF weight setting is faced resorting to Evolutionary Algorithms. The presented results show that, in- dependently of other QoS aware mechanisms that might be in place, the proposed framework is able to improve the QoS level of a given domain only taking into account the direct influence of the routing component of the network. The devised optimization tool is able to optimize OSPF weight configurations in scenarios ei- ther considering a single level of link weights or using multiple levels of weights (one for each class) in multi-topology routing scenarios. |
Year | DOI | Venue |
|---|---|---|
2007 | 10.1007/978-3-540-72697-5_12 | Wired/Wireless Internet Communications |
Keywords | Field | DocType |
routing component,qos level,evolutionary computation,np-hard optimization problem,qos aware mechanism,ospf weight configuration,class-based ospf traffic engineering,class-based networking domain,near-optimal ospf routing configuration,qos compliance,multi-topology routing scenario,ospf weight setting,evolutionary computing,artificial intelligence,evolutionary algorithm,mathematical model,optimization problem | Open Shortest Path First,Evolutionary algorithm,Computer science,Service-level agreement,Evolutionary computation,Computer network,Quality of service,Multi-objective optimization,Traffic engineering,Optimization problem | Conference |
Volume | ISSN | Citations |
4517 | 0302-9743 | 2 |
PageRank | References | Authors |
0.41 | 6 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Pedro Sousa | 1 | 174 | 25.25 |
| Miguel Rocha | 2 | 511 | 54.06 |
| Miguel Rio | 3 | 277 | 29.40 |
| Paulo Cortez | 4 | 157 | 12.29 |