Name
Abstract | ||
|---|---|---|
Green Networking improves the energy efficiency by reducing the redundant resources of the network. However, these redundant resources are originally prepared in the network to make the network more robust. In this case, robust issue appears as a problem in green networking, especially when the emergency happens. This problem is usually less considered or ignored in existing research of green networking. In this paper, we explore and provide robust algorithms towards network emergency including traffic burst and link failure. The evaluation shows that our algorithm can cost less extra energy to handle the network emergency. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1109/ISCC.2014.6912526 | ISCC |
Keywords | Field | DocType |
link failure,green networking,telecommunication power management,robust algorithm,traffic burst,network emergency,telecommunication traffic,telecommunication network routing,energy efficiency,linear programming,routing,robustness,dynamic programming | Computer science,Efficient energy use,Algorithm,Computer network,Active networking,Network traffic control,Green networking,Distributed computing | Conference |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yunlong Song | 1 | 0 | 0.34 |
| Min Liu | 2 | 335 | 40.49 |