VEGA: A Genetic Method for Planning Virtual Network Embedding Configurations
draft-pedro-nmrg-vega-network-embedding-00
| Document | Type |
Expired Internet-Draft
(individual)
Expired & archived
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|
|---|---|---|---|
| Authors | Pedro Martinez-Julia , Diego Lopez | ||
| Last updated | 2022-01-09 (Latest revision 2021-07-08) | ||
| RFC stream | (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This Internet-Draft is no longer active.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 number of elements composing virtual networks (VN), together with the number of elements in the substrate networks (SN), makes unfeasible to obtain in a short time an optimum configuration for the assignation of elements from the VN to the SN. Here we present VEGA, standing for Virtual network Embedding method based on a Genetic Algorithm. It defines a particular strategy and heuristic to provide configurations for network embedding that are close to the optimum in a short time.
Authors
Pedro Martinez-Julia
Diego Lopez
(Note: The e-mail addresses provided for the authors of this Internet-Draft may no longer be valid.)