Energy efficient assignment and deployment of tasks in structurally variable infrastructures. - Angel Cañete (SPLC (B), 2019)

Optimal Assignment of Augmented Reality Tasks for Edge-Based Variable Infrastructures. - Angel Cañete; Mercedes Amor; Lidia Fuentes (UCAmI, 2019)

Supporting the evolution of applications deployed on edge-based infrastructures using multi-layer feature models. - Angel Cañete; Mercedes Amor; Lidia Fuentes (SPLC (B), 2020)

Energy efficient adaptation engines for android applications. - Angel Cañete; José Miguel Horcas; Inmaculada Ayala; Lidia Fuentes (Inf. Softw. Technol., 2020)

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)

Energy-Aware Placement of Network Functions in Edge-Based Infrastructures with Open Source MANO and Kubernetes. - Angel Cañete; Alberto Rodríguez; Mercedes Amor; Lidia Fuentes (ICSOC Workshops, 2022)

A proactive energy-aware auto-scaling solution for edge-based infrastructures. - Angel Cañete; Karim Djemame; Mercedes Amor; Lidia Fuentes; Abdullah Fawaz Aljulayfi (UCC, 2022)

Supporting IoT applications deployment on edge-based infrastructures using multi-layer feature models. - Angel Cañete; Mercedes Amor; Lidia Fuentes (J. Syst. Softw., 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 (Zenodo, 2022)

HADES: An NFV solution for energy-efficient placement and resource allocation in heterogeneous infrastructures. Study dataset. - Angel Cañete; Mercedes Amor; Lidia Fuentes (Zenodo, 2023)

effIcient TAsk and REsource Allocator (iTAREA). Time and energy benchmarks. - Angel Cañete; Mercedes Amor; Lidia Fuentes (Zenodo, 2023)

HADES: An NFV solution for energy-efficient placement and resource allocation in heterogeneous infrastructures. - Angel Cañete; Mercedes Amor; Lidia Fuentes (J. Netw. Comput. Appl., 2024)