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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
Authors Pedro Martinez-Julia , Diego Lopez
Last updated 2022-01-09 (Latest revision 2021-07-08)
RFC stream (None)
Intended RFC status (None)
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Stream Stream state (No stream defined)
Consensus boilerplate Unknown
RFC Editor Note (None)
IESG IESG state Expired
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This Internet-Draft is no longer active.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.)