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ORCIDLuis A. Garrido
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2020 – today
- 2024
[j4]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): 11848-11861 (2024)- 2023
- [j3]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): 216-222 (2023) - [j2]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): 7653-7663 (2023) - [c10]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: 62-67 - [c9]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: 4351-4356 - [c8]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: 1-6 - 2021
- [j1]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): 43-49 (2021) - [c7]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: 1-6 - [c6]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: 1-6 - [c5]Luis A. Garrido, Anestis Dalgkitsis, Kostas Ramantas, Christos V. Verikoukis:
Machine Learning for Network Slicing in Future Mobile Networks: Design and Implementation. MeditCom 2021: 23-28
2010 – 2019
- 2019
- [b1]Luis A. Garrido:
Virtualization techniques for memory resource exploitation. Polytechnic University of Catalonia, Spain, 2019 - [c4]Luis A. Garrido, Rajiv Nishtala, Paul M. Carpenter:
SmarTmem: Intelligent Management of Transcendent Memory in a Virtualized Server. IPDPS Workshops 2019: 911-920 - [c3]Luis A. Garrido, Rajiv Nishtala, Paul M. Carpenter:
Continuous-Action Reinforcement Learning for Memory Allocation in Virtualized Servers. ISC Workshops 2019: 13-24 - 2017
- [c2]Luis A. Garrido, Paul M. Carpenter:
vMCA: Memory Capacity Aggregation and Management in Cloud Environments. ICPADS 2017: 674-683 - [c1]Luis A. Garrido, Paul M. Carpenter:
Aggregating and Managing Memory Across Computing Nodes in Cloud Environments. ISC Workshops 2017: 642-652
Coauthor Index
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