Heuristic strategies for NFV-enabled renewable and non-renewable energy management in the future IoT world

© 2021 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes,creating new collective works, for resale or redistribution to se...

Full description

Bibliographic Details
Authors: Tipantuña Tenelema, Christian José, Hesselbach Serra, Xavier|||0000-0002-7888-3603, Unger, Walter
Format: article
Publication Date:2021
Country:España
Institution:Universitat Politècnica de Catalunya (UPC)
Repository:UPCommons. Portal del coneixement obert de la UPC
Language:English
OAI Identifier:oai:upcommons.upc.edu:2117/362459
Online Access:https://hdl.handle.net/2117/362459
https://dx.doi.org/10.1109/ACCESS.2021.3110246
Access Level:Open access
Keyword:Energy conservation
Renewable energy sources
Energy efficiency
Energy management
Demand response
NFV
IoT
Power consumption
Workload scheduling
Genetic algorithm
Greedy algorithm
Dynamic programming
Renewable energy
Energia--Estalvi
Energies renovables
Àrees temàtiques de la UPC::Energies::Eficiència energètica
Àrees temàtiques de la UPC::Energies::Recursos energètics renovables
Description
Summary:© 2021 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes,creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.

Similar Items