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| Audun Fosselie Hansen, Amund Kvalbein, Tarik Čičić, Stein Gjessing, Olav Lysne, "Resilient Routing Layers for Recovery in Packet Networks," IEEE/IFIP International Conference on Dependable Systems and Networks (DSN 2012), pp. 238-247, 2005 International Conference on Dependable Systems and Networks (DSN'05), 2005. | |||
| BibTex | x | ||
| @article{ 10.1109/DSN.2005.81, author = {Audun Fosselie Hansen and Amund Kvalbein and Tarik Čičić and Stein Gjessing and Olav Lysne}, title = {Resilient Routing Layers for Recovery in Packet Networks}, journal ={IEEE/IFIP International Conference on Dependable Systems and Networks (DSN 2012)}, volume = {0}, year = {2005}, isbn = {0-7695-2282-3}, pages = {238-247}, doi = {http://doi.ieeecomputersociety.org/10.1109/DSN.2005.81}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, } | |||
| RefWorks Procite/RefMan/Endnote | x | ||
| TY - CONF JO - IEEE/IFIP International Conference on Dependable Systems and Networks (DSN 2012) TI - Resilient Routing Layers for Recovery in Packet Networks SN - 0-7695-2282-3 SP238 EP247 A1 - Audun Fosselie Hansen, A1 - Amund Kvalbein, A1 - Tarik Čičić, A1 - Stein Gjessing, A1 - Olav Lysne, PY - 2005 KW - null VL - 0 JA - IEEE/IFIP International Conference on Dependable Systems and Networks (DSN 2012) ER - | |||
Most existing methods for network recovery are often complex and seldom used by network administrators. In this paper we present a novel approach for global and local recovery named Resilient Routing Layers (RRL). The method is supported by algorithms, but also simple enough for a network administrator to implement by hand for reasonably sized networks. The idea in our approach is that for each node in the network there is a topology subset called a "safe layer", which can handle any traffic affected by a fault in the node itself, or any of its links.
We demonstrate that our approach performs well compared to other comparable methods in a wide range of different network topologies. Particularly, we demonstrate RRLs performance for what are assumed to be the weakest parameters for our method, i.e., backup-path lengths and state information overhead. We discuss implementation issues of RRL, and demonstrate its applicability to MPLS networks.
