Luis A. Garrido

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 14

Top Topics

Function Approximation

Reinforcement Learning

Memory Capacity

Admission Control

Top Venues

Publications

Luis A. Garrido, Anestis Dalgkitsis, Kostas Ramantas, Adlen Ksentini, Christos V. Verikoukis
Resource Demand Prediction for Network Slices in 5G Using ML Enhanced With Network Models. IEEE Trans. Veh. Technol. 73 (8) (2024)
Luis A. Garrido, Anestis Dalgkitsis, Golshan Famitafreshi, Apostolos Siokis, Kostas Ramantas, Christos V. Verikoukis
An Experimental Platform of a Beyond-5G Network with Machine Learning Integration. GLOBECOM (2023)
Anestis Dalgkitsis, Luis A. Garrido, Kostas Ramantas, John S. Vardakas, George Kormetzas, Christos V. Verikoukis
SCHEMA III: Dynamic & Scalable VNE Framework Based on Multi-Agent RL for 5G/6G Networks. GLOBECOM (2023)
Luis A. Garrido, Kostas Ramantas, Anestis Dalgkitsis, Adlen Ksentini, Christos V. Verikoukis
Admission Control with Resource Efficiency Using Reinforcement Learning in Beyond-5G Networks. PIMRC (2023)
Anestis Dalgkitsis, Luis A. Garrido, Farhad Rezazadeh, Hatim Chergui, Kostas Ramantas, John S. Vardakas, Christos V. Verikoukis
SCHE2MA: Scalable, Energy-Aware, Multidomain Orchestration for Beyond-5G URLLC Services. IEEE Trans. Intell. Transp. Syst. 24 (7) (2023)
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
AI-Driven Framework for Scalable Management of Network Slices. IEEE Commun. Mag. 61 (11) (2023)
Anestis Dalgkitsis, Luis A. Garrido, Prodromos-Vasileios Mekikis, Kostas Ramantas, Luis Alonso, Christos V. Verikoukis
SCHEMA: Service Chain Elastic Management with Distributed Reinforcement Learning. GLOBECOM (2021)
Luis A. Garrido, Prodromos-Vasileios Mekikis, Anestis Dalgkitsis, Christos V. Verikoukis
Context-Aware Traffic Prediction: Loss Function Formulation for Predicting Traffic in 5G Networks. ICC (2021)
Hatim Chergui, Luis Blanco, Luis A. Garrido, Kostas Ramantas, Slawomir Kuklinski, Adlen Ksentini, Christos V. Verikoukis
Zero-Touch AI-Driven Distributed Management for Energy-Efficient 6G Massive Network Slicing. IEEE Netw. 35 (6) (2021)
Luis A. Garrido, Anestis Dalgkitsis, Kostas Ramantas, Christos V. Verikoukis
Machine Learning for Network Slicing in Future Mobile Networks: Design and Implementation. MeditCom (2021)
Luis A. Garrido, Rajiv Nishtala, Paul M. Carpenter
SmarTmem: Intelligent Management of Transcendent Memory in a Virtualized Server. IPDPS Workshops (2019)
Luis A. Garrido, Rajiv Nishtala, Paul M. Carpenter
Continuous-Action Reinforcement Learning for Memory Allocation in Virtualized Servers. ISC Workshops (2019)
Luis A. Garrido, Paul M. Carpenter
vMCA: Memory Capacity Aggregation and Management in Cloud Environments. ICPADS (2017)
Luis A. Garrido, Paul M. Carpenter
Aggregating and Managing Memory Across Computing Nodes in Cloud Environments. ISC Workshops (2017)