Luis A. Garrido

According to our database, Luis A. Garrido authored at least 14 papers between 2017 and 2023.

Collaborative distances:

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

2023

AI-Driven Framework for Scalable Management of Network Slices.

Luis Blanco, Slawomir Kuklinski, Engin Zeydan, Farhad Rezazadeh, Ashima Chawla, Lanfranco Zanzi, Francesco Devoti, Robert Kolakowski, Vasiliki Vlahodimitropoulou, Ioannis P. Chochliouros, Anne-Marie Bosneag, Sihem Cherrared, Luis A. Garrido, Sergio Barrachina-Muñoz, Josep Mangues

IEEE Commun. Mag., November, 2023

SCHE2MA: Scalable, Energy-Aware, Multidomain Orchestration for Beyond-5G URLLC Services.

Anestis Dalgkitsis, Luis A. Garrido, Farhad Rezazadeh, Hatim Chergui, Kostas Ramantas, John S. Vardakas, Christos V. Verikoukis

IEEE Trans. Intell. Transp. Syst., 2023

Admission Control with Resource Efficiency Using Reinforcement Learning in Beyond-5G Networks.

Luis A. Garrido, Kostas Ramantas, Anestis Dalgkitsis, Adlen Ksentini, Christos V. Verikoukis

Proceedings of the 34th IEEE Annual International Symposium on Personal, 2023

An Experimental Platform of a Beyond-5G Network with Machine Learning Integration.

Luis A. Garrido, Anestis Dalgkitsis, Golshan Famitafreshi, Apostolos Siokis, Kostas Ramantas, Christos V. Verikoukis

Proceedings of the IEEE Global Communications Conference, 2023

SCHEMA III: Dynamic & Scalable VNE Framework Based on Multi-Agent RL for 5G/6G Networks.

Anestis Dalgkitsis, Luis A. Garrido, Kostas Ramantas, John S. Vardakas, George Kormetzas, Christos V. Verikoukis

Proceedings of the IEEE Global Communications Conference, 2023

2021

Zero-Touch AI-Driven Distributed Management for Energy-Efficient 6G Massive Network Slicing.

Hatim Chergui, Luis Blanco, Luis A. Garrido, Kostas Ramantas, Slawomir Kuklinski, Adlen Ksentini, Christos V. Verikoukis

IEEE Netw., 2021

Machine Learning for Network Slicing in Future Mobile Networks: Design and Implementation.

Luis A. Garrido, Anestis Dalgkitsis, Kostas Ramantas, Christos V. Verikoukis

Proceedings of the IEEE International Mediterranean Conference on Communications and Networking, 2021

Context-Aware Traffic Prediction: Loss Function Formulation for Predicting Traffic in 5G Networks.

Luis A. Garrido, Prodromos-Vasileios Mekikis, Anestis Dalgkitsis, Christos V. Verikoukis

Proceedings of the ICC 2021, 2021

SCHEMA: Service Chain Elastic Management with Distributed Reinforcement Learning.

Anestis Dalgkitsis, Luis A. Garrido, Prodromos-Vasileios Mekikis, Kostas Ramantas, Luis Alonso, Christos V. Verikoukis

Proceedings of the IEEE Global Communications Conference, 2021

2019

Virtualization techniques for memory resource exploitation.

Luis A. Garrido

PhD thesis, 2019

Continuous-Action Reinforcement Learning for Memory Allocation in Virtualized Servers.

Luis A. Garrido, Rajiv Nishtala, Paul M. Carpenter

Proceedings of the High Performance Computing, 2019

SmarTmem: Intelligent Management of Transcendent Memory in a Virtualized Server.

Luis A. Garrido, Rajiv Nishtala, Paul M. Carpenter

Proceedings of the IEEE International Parallel and Distributed Processing Symposium Workshops, 2019

2017

Aggregating and Managing Memory Across Computing Nodes in Cloud Environments.

Luis A. Garrido, Paul M. Carpenter

Proceedings of the High Performance Computing, 2017

vMCA: Memory Capacity Aggregation and Management in Cloud Environments.

Luis A. Garrido, Paul M. Carpenter

Proceedings of the 23rd IEEE International Conference on Parallel and Distributed Systems, 2017