Framework for Cognitive Capable Optical Networks
draft-siracusa-nmrg-ccon-fwk-00
| Document | Type |
Expired Internet-Draft
(individual)
Expired & archived
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|
|---|---|---|---|
| Authors | Domenico Siracusa , Antonio Francescon , Elio Salvadori, Ramon J. Duran, Ruben M. Lorenzo, Ignacio de Miguel | ||
| Last updated | 2014-05-08 (Latest revision 2013-11-04) | ||
| 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This Internet-Draft is no longer active.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
The increased complexity in the management of highly heterogeneous optical networks is recently forcing vendors and providers to look for novel mechanisms which diminish the manual intervention by favoring the autonomous execution of several operational tasks, especially when dealing with network congestion or failure events. The adoption of cognitive techniques in networking envisions a network which is able to adapt itself to current or forecasted conditions by taking into account previous history, and which is able to act proactively, rather than reactively, in order to avoid problems before they arise. In this document, a novel architectural framework that introduces cognitive techniques in the optical networking domain is described, and several use cases provided to emphasize its effectiveness.
Authors
Domenico Siracusa
Antonio Francescon
Elio Salvadori
Ramon J. Duran
Ruben M. Lorenzo
Ignacio de Miguel
(Note: The e-mail addresses provided for the authors of this Internet-Draft may no longer be valid.)