Name
Abstract | ||
|---|---|---|
This paper presents a contribution for the de- velopment of network management tools able to auto- matically provide QoS aware routing configurations. In this perspective, a traffic engineering framework able to provide near-optimal OSPF configurations is presented. The devised solution takes into account the multiconstrained QoS demands of a given network domain in order to improve the quality of the OSPF weight setting process. To pursue this objective, this work resorts to Evolutionary Algorithms, which provide OSPF configurations based on a bi-objective function. The proof of concept of the proposed optimization framework resorts to a wide range of simulation studies, clearly showing the effectiveness of the devised mechanisms. |
Year | DOI | Venue |
|---|---|---|
2007 | 10.4304/jnw.2.2.1-10 | JNW |
Keywords | Field | DocType |
traffic engineering,ospf routing,index terms— quality of service qos,evolutionary algorithm,proof of concept,quality of service,indexing terms,objective function,network management | Open Shortest Path First,Qos aware,Evolutionary algorithm,Computer science,Quality of service,Computer network,Provisioning,Proof of concept,Network management,Traffic engineering,Distributed computing | Journal |
Volume | Issue | Citations |
2 | 2 | 1 |
PageRank | References | Authors |
0.37 | 7 | 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 | 15 | 6.45 |