The MPLS-OPS Archive[Date Prev][Date Next][Thread Prev][Thread Next] [Date Index][Thread Index][Author Index][Subject Index] RE: RE: Question on closed loop
Hello Eric, --- Eric Osborne <eosborne@cisco.com> wrote: > > > >I think we have already come out with solutions > which > > >obviates the need for principals > > >like count to infinity, etc. As a consequence we > have > > >now done away with a protocol like > > >RIP. > > > > Can you please tell me what are the best > solutions to > > such a class of problems? > > > > There's that Dijkstra-based stuff that's all the > rage nowadays.... > > > > eric Djikstra does something similar by using node identifiers, but that is "incindental" as the solution proposed by Djikstra is different from Bellman Ford. Bellman Ford, in all it's abstractions does not mandate a "Tree" to be built. It behaves on the "next-hop" equivalent principal. Simply put, Bellman Ford says "to go there go here(close by)" wheras Djikstra says "to go there...go there then there and finally here". The "tree" is inherent in Djikstra as proposed in the algorithm, hence we have to have a node identifier to build the tree to identify points in the tree. Bellman Ford seems like a better solution as the complexity of the tree is not involved, and node identifiers may not be needed. The problem one comes across in such scenarios when using Bellman Ford however is route propogation, which I am sure you are aware of. Hence the question came back to RIP, which is the 1st Bellman Ford protocol that pops into my head. :) I wanted to know if there are other solutions to Count to Infinity other than giving "node identifiers" to solve the "Bellman Ford" problems. Hence the question on the Feedback and oscillations. -Sylvia ___________________________________________________________ Yahoo! Messenger - Communicate instantly..."Ping" your friends today! Download Messenger Now http://uk.messenger.yahoo.com/download/index.html ------- The MPLS-OPS Mailing List Subscribe/Unsubscribe: http://www.mplsrc.com/mplsops.shtml Archive: http://www.mplsrc.com/mpls-ops_archive.shtml
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