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2020 – today
- 2024
[j4]Angel Cañete
, Mercedes Amor, Lidia Fuentes:
HADES: An NFV solution for energy-efficient placement and resource allocation in heterogeneous infrastructures. J. Netw. Comput. Appl. 221: 103764 (2024)- 2023
- [d3]Angel Cañete, Mercedes Amor, Lidia Fuentes:
HADES: An NFV solution for energy-efficient placement and resource allocation in heterogeneous infrastructures. Study dataset. Zenodo, 2023
- [d2]Angel Cañete, Mercedes Amor, Lidia Fuentes:
effIcient TAsk and REsource Allocator (iTAREA). Time and energy benchmarks. Zenodo, 2023 - 2022
- [j3]Angel Cañete, Mercedes Amor, Lidia Fuentes:
Supporting IoT applications deployment on edge-based infrastructures using multi-layer feature models. J. Syst. Softw. 183: 111086 (2022) - [c5]Angel Cañete, Alberto Rodríguez, Mercedes Amor, Lidia Fuentes:
Energy-Aware Placement of Network Functions in Edge-Based Infrastructures with Open Source MANO and Kubernetes. ICSOC Workshops 2022: 183-195 - [c4]Angel Cañete, Karim Djemame, Mercedes Amor, Lidia Fuentes, Abdullah Fawaz Aljulayfi:
A proactive energy-aware auto-scaling solution for edge-based infrastructures. UCC 2022: 240-247 - [d1]Angel Cañete, Karim Djemame, Mercedes Amor, Lidia Fuentes, Abdullah Fawaz Aljulayfi:
Energy consumption, execution time and fail requests rate of a proactive energy-aware auto-scaling solution for edge-based infrastructures applied to real-world workload. Zenodo, 2022 - 2021
- [j2]Angel Cañete, Mercedes Amor, Lidia Fuentes:
Energy-Efficient Deployment of IoT Applications in Edge-Based Infrastructures: A Software Product Line Approach. IEEE Internet Things J. 8(22): 16427-16439 (2021) - 2020
- [j1]Angel Cañete, José Miguel Horcas, Inmaculada Ayala, Lidia Fuentes:
Energy efficient adaptation engines for android applications. Inf. Softw. Technol. 118 (2020) - [c3]Angel Cañete, Mercedes Amor, Lidia Fuentes:
Supporting the evolution of applications deployed on edge-based infrastructures using multi-layer feature models. SPLC (B) 2020: 79-87
2010 – 2019
- 2019
- [c2]Angel Cañete:
Energy efficient assignment and deployment of tasks in structurally variable infrastructures. SPLC (B) 2019: 94:1-94:8 - [c1]Angel Cañete, Mercedes Amor, Lidia Fuentes:
Optimal Assignment of Augmented Reality Tasks for Edge-Based Variable Infrastructures. UCAmI 2019: 28
Coauthor Index
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