Energy aware traffic engineering
| dc.contributor.author | Lin, Gongqi | |
| dc.contributor.supervisor | Dr Sie Teng Soh | |
| dc.contributor.supervisor | Dr Mihai Lazarescu | |
| dc.date.accessioned | 2017-01-30T09:48:19Z | |
| dc.date.available | 2017-01-30T09:48:19Z | |
| dc.date.created | 2014-08-22T04:31:53Z | |
| dc.date.issued | 2014 | |
| dc.identifier.uri | http://hdl.handle.net/20.500.11937/292 | |
| dc.description.abstract |
Over-provisioning of network resources, i.e., routers and links, provides a unique opportunity for energy aware traffic engineering. In the thesis, we design three heuristic approaches, i.e., SSPF, MSPF, and 2DP-SP to solve three proposed green routing problems, i.e., SP-EAR, MP-EAR, and EAR-2DP. Our simulation results show the trade-off between power savings and network performances, i.e., maximum link utilization, path length, and route reliability, when using green routings algorithms. | |
| dc.language | en | |
| dc.publisher | Curtin University | |
| dc.title | Energy aware traffic engineering | |
| dc.type | Thesis | |
| dcterms.educationLevel | PhD | |
| curtin.department | School of Electrical Engineering and Computing, Department of Computing | |
| curtin.accessStatus | Open access |