Improving the Energy Efficiency of Software-Defined Networks through the Prediction of Network Configurations

Literals

ou:urlScopus
- https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85137825076&origin=inward
bibo:doi
- 10.3390/electronics11172739
ou:bibtex
- @article{Herrera2022,title = {Improving the Energy Efficiency of Software-Defined Networks through the Prediction of Network Configurations},journal = {Electronics (Switzerland)},year = {2022},volume = {11},number = {17},author = {Jim{\'e}nez-L{\'a}zaro, M. and Herrera, J.L. and Berrocal, J. and Gal{\'a}n-Jim{\'e}nez, J.}}
dcterms:contributor
- Jimenez-Lazaro M., Herrera J.L., Berrocal J., Galan-Jimenez J.
dcterms:creator
- Jiménez-Lázaro M.
ou:eid
- 2-s2.0-85137825076
bibo:eissn
- 2079-9292
fabio:hasPublicationYear
- 2022
vivo:identifier
- 2022-1139
dcterms:publisher
- Electronics (Switzerland)
ou:tipoPublicacion
- Article
dcterms:title
- Improving the Energy Efficiency of Software-Defined Networks through the Prediction of Network Configurations
vcard:url
- https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85137825076&origin=inward
ou:urlOrcid
- https://publons.com/wos-op/publon/53604777/
bibo:volume
- 11