Name
Abstract | ||
|---|---|---|
This paper presents a traffic engineering framework able to optimize OSPF weight setting administrative procedures. Using the proposed framework, enhanced OSPF configurations are now provided to network administrators in or- der to effectively improve the QoS performance of the corresponding network do- main. The envisaged NP-hard optimization problem is faced resorting to Evolu- tionary Algorithms, which allocate OSPF weights guided by a bi-objective func- tion. The results presented in this work show that the proposed optimization tool clearly outperforms common weight setting heuristics and, even under unfavor- able scenarios, effective QoS improvement is achieved in the network domain. |
Year | DOI | Venue |
|---|---|---|
2006 | 10.1007/11908852_4 | IP Operations and Management |
Keywords | Field | DocType |
intra-domain qos optimization,proposed framework,proposed optimization tool,np-hard optimization problem,network administrator,efficient ospf weight allocation,common weight,corresponding network domain,enhanced ospf configuration,ospf weight,traffic engineering framework,evolutionary algorithms,optimization problem | Open Shortest Path First,Evolutionary algorithm,Computer science,Quality of service,Multi-objective optimization,Heuristics,Traffic engineering,Optimization problem,Distributed computing,Routing protocol | Conference |
Volume | ISSN | ISBN |
4268 | 0302-9743 | 3-540-47701-2 |
Citations | PageRank | References |
8 | 0.60 | 6 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Pedro Sousa | 1 | 174 | 25.25 |
| Miguel Rocha | 2 | 511 | 54.06 |
| Miguel Rio | 3 | 21 | 4.69 |
| Paulo Cortez | 4 | 157 | 12.29 |