IMPROVING TOPOLOGY DATA BASE ACCURACY WITH LSP FEEDBACK VIA CR-LDP
draft-ashw-mpls-te-feed-01
Document | Type |
Expired Internet-Draft
(individual)
Expired & archived
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|
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Authors | Darek Skalecki , Peter J. Ashwood-Smith | ||
Last updated | 2000-01-27 | ||
RFC stream | (None) | ||
Intended RFC status | (None) | ||
Formats | |||
Stream | Stream state | (No stream defined) | |
Consensus boilerplate | Unknown | ||
RFC Editor Note | (None) | ||
IESG | IESG state | Expired | |
Telechat date | (None) | ||
Responsible AD | (None) | ||
Send notices to | (None) |
This Internet-Draft is no longer active. A copy of the expired Internet-Draft is available in these formats:
Abstract
One key component of traffic engineering is a concept known as constraint based routing. In constraint based routing a topology database is maintained on all participating nodes. This database contains a complete list of all the links in the network that participate in traffic engineering and for each of these links a set of constraints which those links can meet. Bandwidth, for example, is one essential constraint. Since the bandwidth available changes as new LSPs are established and terminated the topology database will develop inconsistencies with respect to the real network. It is not possible to increase the flooding rates arbitrarily to keep the database discrepancies from growing. We propose a new mechanism whereby a source node can learn about the successes or failures of its path selections by receiving feedback from the paths it is attempting. This fed-back information can be incorporated into subsequent route computations, which greatly improves the accuracy of the overall routing solution by significantly reducing the database discrepancies.
Authors
Darek Skalecki
Peter J. Ashwood-Smith
(Note: The e-mail addresses provided for the authors of this Internet-Draft may no longer be valid.)