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Luis A. Garrido
Publication Activity (10 Years)
Years Active: 2017-2023
Publications (10 Years): 11
Top Topics
Admission Control
Workflow Execution
Reinforcement Learning
Mobile Networks
Top Venues
ISC Workshops
PIMRC
ICC
IEEE Netw.
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Publications
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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)