Angel Cañete

According to our database, Angel Cañete authored at least 12 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

HADES: An NFV solution for energy-efficient placement and resource allocation in heterogeneous infrastructures.

Angel Cañete, Mercedes Amor, Lidia Fuentes

J. Netw. Comput. Appl., January, 2024

2023

effIcient TAsk and REsource Allocator (iTAREA). Time and energy benchmarks.

Angel Cañete, Mercedes Amor, Lidia Fuentes

Dataset, March, 2023

HADES: An NFV solution for energy-efficient placement and resource allocation in heterogeneous infrastructures. Study dataset.

Angel Cañete, Mercedes Amor, Lidia Fuentes

Dataset, March, 2023

2022

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.

Angel Cañete, Karim Djemame, Mercedes Amor, Lidia Fuentes, Abdullah Fawaz Aljulayfi

Dataset, October, 2022

Supporting IoT applications deployment on edge-based infrastructures using multi-layer feature models.

Angel Cañete, Mercedes Amor, Lidia Fuentes

J. Syst. Softw., 2022

A proactive energy-aware auto-scaling solution for edge-based infrastructures.

Angel Cañete, Karim Djemame, Mercedes Amor, Lidia Fuentes, Abdullah Fawaz Aljulayfi

Proceedings of the 15th IEEE/ACM International Conference on Utility and Cloud Computing, 2022

Energy-Aware Placement of Network Functions in Edge-Based Infrastructures with Open Source MANO and Kubernetes.

Angel Cañete, Alberto Rodríguez, Mercedes Amor, Lidia Fuentes

Proceedings of the Service-Oriented Computing - ICSOC 2022 Workshops - ASOCA, AI-PA, FMCIoT, WESOACS 2022, Sevilla, Spain, November 29, 2022

2021

Energy-Efficient Deployment of IoT Applications in Edge-Based Infrastructures: A Software Product Line Approach.

Angel Cañete, Mercedes Amor, Lidia Fuentes

IEEE Internet Things J., 2021

2020

Energy efficient adaptation engines for android applications.

Angel Cañete, José Miguel Horcas, Inmaculada Ayala, Lidia Fuentes

Inf. Softw. Technol., 2020

Supporting the evolution of applications deployed on edge-based infrastructures using multi-layer feature models.

Angel Cañete, Mercedes Amor, Lidia Fuentes

Proceedings of the SPLC '20: 24th ACM International Systems and Software Product Line Conference, 2020

2019

Optimal Assignment of Augmented Reality Tasks for Edge-Based Variable Infrastructures.

Angel Cañete, Mercedes Amor, Lidia Fuentes

Proceedings of the 13th International Conference on Ubiquitous Computing and Ambient Intelligence, 2019

Energy efficient assignment and deployment of tasks in structurally variable infrastructures.

Angel Cañete

Proceedings of the 23rd International Systems and Software Product Line Conference, 2019