@techreport{pedro-nmrg-vega-network-embedding-00,
    number =    {draft-pedro-nmrg-vega-network-embedding-00},
    type =      {Internet-Draft},
    institution =   {Internet Engineering Task Force},
    publisher = {Internet Engineering Task Force},
    note =      {Work in Progress},
    url =       {https://datatracker.ietf.org/doc/draft-pedro-nmrg-vega-network-embedding/00/},
        author =    {Pedro Martinez-Julia and Diego Lopez},
    title =     {{VEGA: A Genetic Method for Planning Virtual Network Embedding Configurations}},
    pagetotal = 11,
    year =      2021,
    month =     jul,
    day =       8,
    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.},
}