Network intelligence for aDAptive and sElf-Learning MObile Networks

Risultati finali

Initial design of real-time control and VNF intelligence mechanisms

Initial design of NI for computeaware radio scheduling multitimescale edge resource management Reconfigurable Intelligent Surfaces RIS control and inbackhaul support for service intelligence

Final design of intelligent orchestration and management mechanisms

Final design of NI for energy-aware VNF placement,capacity forecasting, automated anomaly response, and self-learning network management and orchestration (MANO).

Refined design of intelligent orchestration and management mechanisms

Refined design of NI for energyaware VNF placementcapacity forecasting automated anomaly response and selflearning network management and orchestration MANO

Refined evaluation results and initial proof-of-concept demonstrations

Refined evaluation of NI solutions via simulation and emulationbased sandboxes prototypes and experimental proofofconcepts and largescale nationwide datasets from network operators

Refined design of real-time control and VNF intelligence mechanisms

Refined design of NI for computeaware radio scheduling multitimescale edge resource management Reconfigurable Intelligent Surfaces RIS control and inbackhaul support for service intelligence

Final DAEMON Network Intelligence framework and toolsets

Final characterization of the gaps between target NI problems and the current state-of-the-art approaches that could be adopted to address them; final design of the DAEMON NI-native architecture; final taxonomy of statistical modelling, machine learning, and hybrid approaches for the support of network functionalities; final guidelines for the design of loss-metric-aligned, self-learning and elastic NI.

Final report on communication, dissemination and exploitation and exploitation plan for after the project

Summary of the final results attained by the project in terms of dissemination and communication, standardization and open-source activities, and exploitation and innovation.

Initial DAEMON Network Intelligence framework and toolsets

First characterization of the gaps between target NI problems and the current stateoftheart approaches that could be adopted to address them first design of the DAEMON NInative architecture first taxonomy of statistical modelling machine learning and hybrid approaches for the support of network functionalities first guidelines for the design of lossmetricaligned selflearning and elastic NI

Preliminary evaluation results and plan for proof-of-concept demonstrations

Preliminary evaluation of NI solutions via simulation and emulationbased sandboxes prototypes and experimental proofofconcepts and largescale nationwide datasets from network operators

Initial design of intelligent orchestration and management mechanisms

Initial design of NI for energyaware VNF placementcapacity forecasting automated anomaly response and selflearning network management and orchestration MANO

Final design of real-time control and VNF intelligence mechanisms

Final design of NI for compute-aware radio scheduling, multi-timescale edge resource management, Reconfigurable Intelligent Surfaces (RIS) control, and in-backhaul support for service intelligence.

Report on Communication, dissemination and exploitation results and updated CoDEP for Y3

Summary of the results attained by the project in year 2 in terms of dissemination and communication standardization and opensource activities and exploitation and innovation CoDEP for year 3

Report on Communication, dissemination and exploitation results and updated CoDEP for Y2

Summary of the results attained by the project in year 1 in terms of dissemination and communication standardization and opensource activities and exploitation and innovation CoDEP for year 2

Report on initial requirements analysis and state of art frameworks and toolsets

Initial analysis of NIassisted functionalities and their functional and performance requirements initial review of standard control management and orchestration specifications and systems initial review of the spectrum of learning and optimization tools and of the emerging techniques in fundamental research on AI models that are relevant to concrete networking problems

Communication, dissemination and exploitation plan (CoDEP) for Y1

Definition of the CoDEP with a dissemination plan across three directions industrial community scientific community and other relevant projects and a communication plan to reach a wider audience and the society at large

Final evaluation results and proof-of-concept demonstrations

Final evaluation of NI solutions via simulation and emulation-based sandboxes, prototypes and experimental proof-of-concepts, and large-scale nation-wide datasets from network operators.

Pubblicazioni

Fair Resource Allocation in Virtualized O-RAN Platforms

Autori: F. Aslan, G. Iosifidis, J. A. Ayala-Romero, A. Garcia-Saavedra, X. Costa-Perez
Pubblicato in: Proceedings of the ACM on Measurement and Analysis of Computing Systems, Numero 8(1), 2024, ISSN 2476-1249
Editore: Association for Computing Machinery
DOI: 10.1145/3639043

Defining categorical reasoning of numerical feature models with feature-wise and variant-wise quality attributes

Autori: Munoz, Daniel-Jesus; Pinto, Monica; Gurov, Dilian; Fuentes, Lidia
Pubblicato in: SPLC '22: Proceedings of the 26th ACM International Systems and Software Product Line Conference, Numero 26, 2022, Pagina/e 132–139, ISBN 978-1-4503-9443-7
Editore: Association for Computing Machinery
DOI: 10.1145/3503229.3547057

Network Intelligence for Virtualized RAN Orchestration: The DAEMON Approach

Autori: Gramaglia, Marco; Camelo, Miguel; Fuentes, Lidia; Ballesteros, Joaquín; Baldoni, Gabriele; Cominardi, Luca; Garcia-Saavedra, Andres; Fiore, Marco
Pubblicato in: 2022 Joint European Conference on Networks and Communications & 6G Summit (EuCNC/6G Summit), Numero 2022, 2022, ISBN 978-1-6654-9871-5
Editore: Institute of Electrical and Electronics Engineers
DOI: 10.1109/eucnc/6gsummit54941.2022.9815816

Variability in data transformation: towards data migration product lines

Autori: Romero Organvidez, D., Benavides, D., Horcas, J. M., & Gómez López, M. T.
Pubblicato in: VaMoS '24: Proceedings of the 18th International Working Conference on Variability Modelling of Software-Intensive Systems, Numero 18, 2024, Pagina/e 83–92, ISBN 979-8-4007-0877-0
Editore: Association for Computing Machinery
DOI: 10.1145/3634713.3634724

Quality-aware analysis and optimisation of virtual network functions

Autori: Munoz, Daniel-Jesus; Pinto, Monica; Fuentes, Lidia
Pubblicato in: SPLC '22: Proceedings of the 26th ACM International Systems and Software Product Line Conference, Numero 26, 2022, Pagina/e 210–221, ISBN 978-1-4503-9443-7
Editore: Association for Computing Machinery
DOI: 10.1145/3546932.3547007

Despliegue Energéticamente Eficiente de Aplicaciones Distribuidas en Infraestructuras en el Borde Heterogéneas

Autori: Angel Cañete; Alberto Rodriguez; Lidia Fuentes; Mercedes Amor
Pubblicato in: Jornadas de Ingeniería del Software y Bases de Datos (JISBD), Numero 17, 2021
Editore: Sociedad Científica Informática de España
DOI: 10.5281/zenodo.5075287

Nuberu: a reliable DU design suitable for virtualization platforms

Autori: Garcia-Aviles, G., Garcia-Saavedra, A., Gramaglia, M., Costa-Perez, X., Serrano, P. & Banchs, A.
Pubblicato in: MobiCom '21: Proceedings of the 27th Annual International Conference on Mobile Computing and Networking, Numero 27, 2021, Pagina/e 862–864, ISBN 978-1-4503-8342-4
Editore: Association for Computing Machinery
DOI: 10.1145/3447993.3511173

Building Realistic Experimentation Environments for AI-enhanced Management and Orchestration (MANO) of 5G and beyond V2X systems

Autori: Nina Slamnik-Kriještorac; Miguel Camelo; Luca Cominardi; Steven Latré; Johann M. Marquez-Barja
Pubblicato in: IEEE Consumer Communications & Networking Conference 2022, Numero 11, 2021
Editore: Institute of Electrical and Electronics Engineers
DOI: 10.5281/zenodo.5767768

Elimination of constraints for parallel analysis of feature models

Autori: Jose-Miguel Horcas, Joaquin Ballesteros, Mónica Pinto, Lidia Fuentes
Pubblicato in: SPLC '23: Proceedings of the 27th ACM International Systems and Software Product Line Conference, Numero 27 Vol.A, 2023, Pagina/e 99–110, ISBN 979-8-4007-0091-0
Editore: Association for Computing Machinery
DOI: 10.1145/3579027.3608981

EdgeBOL: Automating Energy-savings for Mobile Edge AI

Autori: J. A. Ayala-Romero, A. Garcia-Saavedra, G. Iosifidis, X. Costa-Perez
Pubblicato in: ACM International Conference on emerging Networking EXperiments and Technologies, 2021
Editore: Association for Computing Machinery
DOI: 10.5281/zenodo.5734868

No-Regret Slice Reservation Algorithms

Autori: Monteil, Jean-Baptiste; Iosifidis, George; DaSilva, Luiz
Pubblicato in: IEEE International Conference on Communications (ICC), Numero 8, 2021
Editore: Institute of Electrical and Electronics Engineers
DOI: 10.5281/zenodo.4966897

Realistic Experimentation Environments for Intelligent and Distributed Management and Orchestration (MANO) in 5G and beyond

Autori: Nina Slamnik-Kriještorac; Paola Soto; Miguel Camelo; Luca Cominardi; Steven Latré; Johann M. Marquez-Barja
Pubblicato in: IEEE 19th Annual Consumer Communications & Networking Conference (CCNC), Numero 19, 2022, ISBN 978-1-6654-3161-3
Editore: Institute of Electrical and Electronics Engineers
DOI: 10.1109/ccnc49033.2022.9700659

Global mobile network aggregators: taxonomy, roaming performance and optimization

Autori: Sergi Alcalá-Marín, Aravindh Raman, Weili Wu, Andra Lutu, Marcelo Bagnulo, Ozgu Alay, Fabian E. Bustamante
Pubblicato in: MobiSys '22: Proceedings of the 20th Annual International Conference on Mobile Systems, Applications and Services, Numero 20, 2022, Pagina/e 183–195, ISBN 978-1-4503-9185-6
Editore: Association for Computing Machinery
DOI: 10.1145/3498361.3538942

Requirements and Specifications for the Orchestration of Network Intelligence in 6G

Autori: Miguel Camelo; Luca Cominardi; Marco Gramaglia; Marco Fiore; Andres Garcia-Saavedra; Lidia Fuentes; Danny De Vleeschauwer; Paola Soto; Nina Slamnik-Kriještorac; Joaquín Ballesteros; Chia-Yu Chang; Gabriele Baldoni; Johann M. Marquez-Barja; Peter Hellinckx; Steven Latré
Pubblicato in: 2022 IEEE 19th Annual Consumer Communications & Networking Conference (CCNC), Numero 19, 2022, ISBN 978-1-6654-3161-3
Editore: Institute of Electrical and Electronics Engineers
DOI: 10.1109/ccnc49033.2022.9700729

AutoManager: a Meta-Learning Model for Network Management from Intertwined Forecasts

Autori: Collet, Alan; Bazco-Nogueras, Antonio; Banchs, Albert; Fiore, Marco
Pubblicato in: IEEE INFOCOM 2023 - IEEE Conference on Computer Communications, Numero 2023, 2023, ISBN 979-8-3503-3414-2
Editore: Institute of Electrical and Electronics Engineers
DOI: 10.1109/infocom53939.2023.10229064

Network Intelligence in 6G: challenges and opportunities

Autori: A. Banchs, M. Fiore, M. Gramaglia, A. Garcia-Saavedra
Pubblicato in: MobiArch '21: Proceedings of the 16th ACM Workshop on Mobility in the Evolving Internet Architecture, Numero 16, 2021, Pagina/e Pages 7–12, ISBN 978-1-4503-4257-5
Editore: Association for Computing Machinery
DOI: 10.5281/zenodo.5524560

Energy-Aware Scheduling of Virtualized Base Stations in O-RAN with Online Learning

Autori: Kalntis, Michail; Iosifidis, George
Pubblicato in: GLOBECOM 2022 - 2022 IEEE Global Communications Conference, Numero 2022, 2022, ISBN 978-1-6654-3540-6
Editore: Institute of Electrical and Electronics Engineers
DOI: 10.1109/globecom48099.2022.10001330

Decentralised Blockchain-based Solutions for Electronic Healthcare Record with Interacting Social Networking Components

Autori: Munoz, Daniel-Jesus; Constantinescu, Denisa-Andreea
Pubblicato in: 2021 IEEE INTERNATIONAL CONFERENCE ON INNOVATION AND INTELLIGENCE FOR INFORMATICS, COMPUTING,AND TECHNOLOGIES (3ICT 2021), Numero 8, 2021
Editore: Institute of Electrical and Electronics Engineers
DOI: 10.1109/3ict53449.2021.9581525

When Deep Learning May Not Be The Right Tool For Traffic Classification

Autori: Kleidi Ismailaj; Miguel Camelo; Steven Latré
Pubblicato in: IEEE/IFIP International Workshop on Analytics for Network and Service Management, Numero 7, 2021
Editore: International Federation for Information Processing
DOI: 10.5281/zenodo.5127129

Optimistic No-regret Algorithms for Discrete Caching

Autori: Naram Mhaisen; Abhishek Sinha; Georgios Paschos; George Iosifidis
Pubblicato in: Proceedings of the ACM on Measurement and Analysis of Computing Systems (POMACS), Numero 6(3), 2022, ISSN 2476-1249
Editore: Association for Computing Machinery
DOI: 10.1145/3570608

Forecasting for Network Management with Joint Statistical Modelling and Machine Learning

Autori: Lo Schiavo, Leonardo; Fiore, Marco; Gramaglia, Marco; Banchs, Albert; Costa-Perez, Xavier
Pubblicato in: 2022 IEEE 23rd International Symposium on a World of Wireless, Mobile and Multimedia Networks (WoWMoM), Numero 23, 2022, ISBN 978-1-6654-0876-9
Editore: Institute of Electrical and Electronics Engineers
DOI: 10.1109/wowmom54355.2022.00028

Acapulco: an extensible tool for identifying optimal and consistent feature model configurations

Autori: Martínez, Jabier; Strüber, Daniel; Horcas, Jose-Miguel; Burdusel, Alexandru; Zschaler, Steffen
Pubblicato in: SPLC '22: Proceedings of the 26th ACM International Systems and Software Product Line Conference, Numero 26 Vol.B, 2022, Pagina/e 50–53, ISBN 978-1-4503-9206-8
Editore: Association for Computing Machinery
DOI: 10.1145/3503229.3547067

Nuberu: Reliable RAN Virtualization in Shared Platforms

Autori: Garcia-Aviles, Gines; Garcia-Saavedra, Andres; Gramaglia, Marco; Costa-Perez, Xavier; Serrano, Pablo; Banchs, Albert
Pubblicato in: Annual International Conference On Mobile Computing And Networking (ACM MobiCom 2021), Numero 27, 2021
Editore: Association for Computing Machinery
DOI: 10.5281/zenodo.5599123

Resource Allocation of Multi-user Workloads in Cloud and Edge Data-Centers Using Reinforcement Learning

Autori: Julian Jimenez, Paola Soto, Danny De Vleeschauwer, Chia-Yu Chang, Yorick De Bock, Steven Latre, Miguel Camelo
Pubblicato in: 19th International Conference on Network and Service Management, Numero 19, 2023
Editore: Institute of Electrical and Electronics Engineers
DOI: 10.5281/zenodo.10007880

Enabling Long-term Fairness in Dynamic Resource Allocation

Autori: Tareq Si Salem; Georgios Iosifidis; Giovanni Neglia
Pubblicato in: Proceedings of the ACM on Measurement and Analysis of Computing Systems, Numero 6(3), 2022, Pagina/e 1-36, ISSN 2476-1249
Editore: Association for Computing Machinery
DOI: 10.1145/3570606

CloudLSTM: A Recurrent Neural Model for Spatiotemporal Point-cloud Stream Forecasting

Autori: Chaoyun Zhang; Marco Fiore; Iain Murray; Paul Patras
Pubblicato in: Thirty-Fifth AAAI Conference on Artificial Intelligence, Numero 8, 2021
Editore: IEEE
DOI: 10.5281/zenodo.5524838

kaNSaaS: Combining Deep Learning and Optimization for Practical Overbooking of Network Slices

Autori: Alcalá-Marín, Sergi; Bazco Nogueras, Antonio; BANCHS, ALBERT; Fiore, Marco
Pubblicato in: MobiHoc '23: Proceedings of the Twenty-fourth International Symposium on Theory, Algorithmic Foundations, and Protocol Design for Mobile Networks and Mobile Computing, Numero 24, 2023, Pagina/e 51–60, ISBN 978-1-4503-9926-5
Editore: Association for Computing Machinery
DOI: 10.1145/3565287.3610265

Atom: Neural Traffic Compression with Spatio-Temporal Graph Neural Networks

Autori: Paul Almasan; Krzysztof Rusek; Shihan Xiao; Xiang Shi; Xiangle Cheng; Albert Cabellos-Aparicio; Pere Barlet-Ros
Pubblicato in: GNNet '23: Proceedings of the 2nd on Graph Neural Networking Workshop 2023, Numero 2, 2023, Pagina/e 1–6, ISBN 979-8-4007-0448-2
Editore: Association for Computing Machinery
DOI: 10.1145/3630049.3630170

Towards Autonomous VNF Auto-scaling using Deep Reinforcement Learning

Autori: Paola Soto; Danny De Vleeschauwer; Miguel Camelo; Yorick De Bock; Koen De Schepper; Chia-Yu Chang; Peter Hellinckx; Juan F. Botero; Steven Latré
Pubblicato in: The Eighth International Conference on Software Defined Systems (SDS-2021), Numero 16, 2021
Editore: Institute of Electrical and Electronics Engineers
DOI: 10.5281/zenodo.5767618

Designing, Building, and Characterizing RF Switch-based Reconfigurable Intelligent Surfaces

Autori: M. Rossanese, P. Mursia, A. Garcia-Saavedra, V. Sciancalepore, A. Asadi, X. Costa-Perez
Pubblicato in: WiNTECH '22: Proceedings of the 16th ACM Workshop on Wireless Network Testbeds, Experimental evaluation & CHaracterization, Numero 16, 2022, Pagina/e 69–76, ISBN 978-1-4503-9527-4
Editore: Association for Computing Machinery
DOI: 10.1145/3556564.3558236

Facilitating distributed data-flow programming with Eclipse Zenoh: the ERDOS case

Autori: Baldoni, Gabriele; Loudet, Julien; Cominardi, Luca; Corsaro, Angelo; He, Yong
Pubblicato in: MobileServerless'21: Proceedings of the 1st Workshop on Serverless mobile networking for 6G Communications, Numero 1, 2021, Pagina/e 13–18, ISBN 978-1-4503-8603-6
Editore: Association for Computing Machinery
DOI: 10.1145/3469263.3469858

Detecting Contextual Network Anomalies with Graph Neural Networks

Autori: Hamid Latif; José Suárez-Varela; Albert Cabellos-Aparicio; Pere Barlet-Ros
Pubblicato in: GNNet '23: Proceedings of the 2nd on Graph Neural Networking Workshop 2023, Numero 2, 2023, Pagina/e 25–30, ISBN 979-8-4007-0448-2
Editore: Association for Computing Machinery
DOI: 10.1145/3630049.3630171

Zenoh-based Dataflow Framework for Autonomous Vehicles

Autori: Baldoni, Gabriele; Loudet, Julien; Cominardi, Luca; Corsaro, Angelo; He, Yong
Pubblicato in: IEEE International Symposium on Autonomous Vehicle Software (AVS 2021) (IEEE QRS 2021 AVS), Hainan Island, China, December 6-10, 2021, Numero 2, 2021
Editore: Institute of Electrical and Electronics Engineers
DOI: 10.5281/zenodo.5734287

Energy-aware placement of network functions in edge-based infrastructures with Open Source MANO and Kubernetes

Autori: Cañete, Ángel; Rodríguez, Alberto; Amor, Mercedes; Fuentes, Lidia
Pubblicato in: Service-Oriented Computing – ICSOC 2022 Workshops. ICSOC 2022. Lecture Notes in Computer Science., Numero 13821, 2023, Pagina/e 183-195, ISBN 978-3-031-26506-8
Editore: Springer
DOI: 10.1007/978-3-031-26507-5_15

Henna: hierarchical machine learning inference in programmable switches

Autori: Akem Aristide Tanyi-Jong; Beyza Bütün; Michele Gucciardo; Marco Fiore
Pubblicato in: NativeNi '22: Proceedings of the 1st International Workshop on Native Network Intelligence. CoNEXT '22: The 18th International Conference on emerging Networking EXperiments and Technologies, Numero 1, 2022, Pagina/e 1–7, ISBN 978-1-4503-9887-9
Editore: Association for Computing Machinery
DOI: 10.1145/3565009.3569520

Enhancing 5G Radio Planning with Graph Representations and Deep Learning

Autori: Paul Almasan; José Suárez-Varela; Andra Lutu; Albert Cabellos-Aparicio; Pere Barlet-Ros
Pubblicato in: 5G-MeMU '23: Proceedings of the 3rd ACM Workshop on 5G and Beyond Network Measurements, Modeling, and Use Cases, Numero 3, 2023, Pagina/e 14–20, ISBN 979-8-4007-0301-0
Editore: Association for Computing Machinery
DOI: 10.1145/3609382.3610509

Demonstrating a Bayesian Online Learning for Energy-Aware Resource Orchestration in vRANs

Autori: Ayala-Romero, Jose; Garcia-Saavedra, Andres; Costa-Perez, Xavier; Iosifidis, George
Pubblicato in: IEEE International Conference on Computer Communications (INFOCOM), 2021
Editore: Institute of Electrical and Electronics Engineers
DOI: 10.5281/zenodo.4966737

Insights from Operating an IP Exchage Provider

Autori: Lutu, Andra; Perino, Diego; Bagnulo, Marcelo; Bustamante, Fabián E.
Pubblicato in: Proceedings of the 2021 ACM SIGCOMM 2021 Conference, Numero 32, 2021, ISBN 978-1-4503-8383-7
Editore: Association for Computing Machinery
DOI: 10.5281/zenodo.5722464

Development and Evolution of Software Product Lines Driven by Stakeholder Beliefs

Autori: Lola Burgueño, Jose-Miguel Horcas, Jörg Kienzle
Pubblicato in: SPLC '23: Proceedings of the 27th ACM International Systems and Software Product Line Conference, Numero 27 Vol.A, 2023, Pagina/e 34–40, ISBN 979-8-4007-0091-0
Editore: Association for Computing Machinery
DOI: 10.1145/3579027.3608975

Applying QoS in FaaS applications: a Software Product Line approach

Autori: Serrano-Gutierrez, P., Ayala, I., & Fuentes, L.
Pubblicato in: Joint Post-proceedings of the Third and Fourth International Conference on Microservices (Microservices 2020/2022). Open Access Series in Informatics (OASIcs), Numero 111, 2023, Pagina/e 9:1-9:15
Editore: Dagstuhl Publishing
DOI: 10.4230/oasics.microservices.2020-2022.9

FM fact label: a configurable and interactive visualization of feature model characterizations

Autori: Horcas, Jose-Miguel; Galindo, José A.; Pinto, Mónica; Fuentes, Lidia; Benavides, David
Pubblicato in: SPLC '22: Proceedings of the 26th ACM International Systems and Software Product Line Conference, Numero 26 Vol.B, 2022, Pagina/e 42–45, ISBN 978-1-4503-9206-8
Editore: Association for Computing Machinery
DOI: 10.1145/3503229.3547025

Data-driven Analysis of the Cost-Performance Trade-off of Reconfigurable Intelligent Surfaces in a Production Network

Autori: Marco Rossanese, Andres Garcia-Saavedra, Andra Elena Lutu, Xavier Costa Perez
Pubblicato in: Proceedings of the ACM on Networking, CONEXT3, Numero Vol.1, 2023, Pagina/e 1–20, ISSN 2834-5509
Editore: Association for Computing Machinery
DOI: 10.1145/3629134

Composición Categórica de Análisis Automáticos para Líneas de Productos Extendidas

Autori: Daniel-Jesus Munoz; Monica Pinto; Lidia Fuentes
Pubblicato in: Actas de las XXVI Jornadas de Ingeniería del Software y Bases de Datos (JISBD 2022), Numero 26, 2022
Editore: Sistedes
DOI: 10.5281/zenodo.6658078

A proactive energy-aware auto-scaling solution for edge-based infrastructures

Autori: Cañete, Angel; Djemame, Karim; Amor, Mercedes; Fuentes, Lidia; Aljulayfi, Abdullah
Pubblicato in: 2022 IEEE/ACM 15th International Conference on Utility and Cloud Computing (UCC), Numero 15, 2022, ISBN 978-1-6654-6087-3
Editore: Institute of Electrical and Electronics Engineers
DOI: 10.1109/ucc56403.2022.00044

We're not gonna Break It!: Consistency-Preserving Operators for Efficient Product Line Configuration

Autori: Horcas, J.M.; Strüber, D.G.F.; Burdusel, A.; Martinez, J.; Zschaler, S.; Felfernig, A.
Pubblicato in: SPLC '22: Proceedings of the 26th ACM International Systems and Software Product Line Conference - Volume A, Numero 26 vol.A, 2022, ISBN 978-1-4503-9443-7
Editore: Association for Computing Machinery
DOI: 10.1145/3546932.3547011

A FaaS Approach for Long-Term Monitoring in Rehabilitation

Autori: Serrano-Gutierrez, P., Ayala, I., Fuentes, L.
Pubblicato in: Proceedings of the International Conference on Ubiquitous Computing & Ambient Intelligence (UCAmI 2022). UCAmI 2022. Lecture Notes in Networks and Systems, Numero 594, 2022, ISBN 978-3-031-21332-8
Editore: Springer Cham
DOI: 10.1007/978-3-031-21333-5_44

AutoML for Video Analytics with Edge Computing

Autori: Galanopoulos, Apostolos; Ayala-Romero, Jose; Leith, Douglas; Iosifidis, George
Pubblicato in: IEEE International Conference on Computer Communications (INFOCOM), Numero 26, 2021
Editore: IEEE
DOI: 10.5281/zenodo.4966558

Bayesian Online Learning for Energy-Aware Resource Orchestration in Virtualized RANs

Autori: Ayala-Romero, Jose; Garcia-Saavedra, Andres; Costa-Perez, Xavier; Iosifidis, George
Pubblicato in: IEEE International Conference on Computer Communications (INFOCOM), Numero 31, 2021
Editore: IEEE
DOI: 10.5281/zenodo.4966637

DAEMON: A Network Intelligence Plane for 6G Networks

Autori: Camelo, Miguel; Gramaglia, Marco; Soto, Paola; Fuentes, Lidia; Ballesteros, Joaquín; Bazco-Nogueras, Antonio; Garcia-Aviles, Gines; Latré, Steven; Garcia-Saavedra, Andres; Fiore, Marco
Pubblicato in: 2022 IEEE Globecom Workshops (GC Wkshps), Numero 2022, 2022, ISBN 978-1-6654-5975-4
Editore: Institute of Electrical and Electronics Engineers
DOI: 10.1109/gcwkshps56602.2022.10008662

FLAMA: A collaborative effort to build a new framework for the automated analysis of feature models

Autori: José A. Galindo, Jose-Miguel Horcas, Alexander Felferning, David Fernandez-Amoros, David Benavides
Pubblicato in: SPLC '23: Proceedings of the 27th ACM International Systems and Software Product Line Conference, Numero 27 Vol.B, 2023, Pagina/e 16–19, ISBN 979-8-4007-0092-7
Editore: Association for Computing Machinery
DOI: 10.1145/3579028.3609008

Energy-Efficient Orchestration of Metro-Scale 5G Radio Access Networks

Autori: Rajkarn Singh; Cengis Hasan; Xenofon Foukas; Marco Fiore; Mahesh K. Marina; Yue Wang
Pubblicato in: IEEE Conference on Computer Communications Workshops (INFOCOM) 2021, Numero 31, 2021
Editore: IEEE
DOI: 10.5281/zenodo.5524774

Category Theory Framework for Variability Models with Non-Functional Requirements

Autori: Daniel-Jesus Munoz; Dilian Gurov; Monica Pinto; Lidia Fuentes
Pubblicato in: Advanced Information Systems Engineering, Numero 1, 2021
Editore: Springer
DOI: 10.5281/zenodo.4599585

Nemo: A Tool to Transform Feature Models with Numerical Features and Arithmetic Constraints

Autori: Munoz, Daniel-Jesus; Jeho Oh; Pinto, Monica; Fuentes, Lidia; Batory, Don
Pubblicato in: Reuse and Software Quality. ICSR 2022. Lecture Notes in Computer Science, Numero 13297, 2022, ISBN 978-3-031-08128-6
Editore: Springer Nature Switzerland AG
DOI: 10.1007/978-3-031-08129-3_4

Teoría de Categorías Aplicada a Variabilidad

Autori: Daniel-Jesus Munoz; Monica Pinto; Lidia Fuentes
Pubblicato in: Actas de las XXV Jornadas de Ingeniería del Software y Bases de Datos (JISBD 2021), Numero 25, 2021
Editore: Sistedes
DOI: 10.5281/zenodo.4974523

Traffic-Driven Sounding Reference Signal Resource Allocation in (Beyond) 5G Networks

Autori: Claudio Fiandrino; Giulia Attanasio; Marco Fiore; Joerg Widmer
Pubblicato in: IEEE International Conference on Sensing, Communication, and Networking (SECON), Numero 18, 2021
Editore: IEEE
DOI: 10.5281/zenodo.5524826

Experimental Evaluation of Power Consumption in Virtualized Base Stations

Autori: Ayala-Romero, Jose; Khalid, Ihtisham; Garcia-Saavedra, Andres; Costa-Perez, Xavier; Iosifidis, George
Pubblicato in: IEEE International Conference on Communications (ICC), 14-23 June 2021, Numero 21, 2021
Editore: IEEE
DOI: 10.5281/zenodo.4966356

Lazy Lagrangians for Optimistic Learning With Budget Constraints

Autori: Daron Anderson; George Iosifidis; Douglas J. Leith
Pubblicato in: IEEE/ACM Transactions on Networking, Numero 31(5), 2023, Pagina/e 1935 - 1949, ISSN 1063-6692
Editore: Institute of Electrical and Electronics Engineers
DOI: 10.1109/tnet.2022.3222404

Deep Reinforcement Learning for Orchestrating Cost-Aware Reconfigurations of vRANs

Autori: Fahri Wisnu Murti; Samad Ali; George Iosifidis; Matti Latva-aho
Pubblicato in: IEEE Transactions on Network and Service Management, Numero 22(1), 2023, Pagina/e 200 - 216, ISSN 1932-4537
Editore: Institute of Electrical and Electronics Engineers
DOI: 10.1109/tnsm.2023.3292713

Selective Edge Computing for Mobile Analytics

Autori: Apostolos Galanopoulos; George Iosifidis; Theodoros Salonidis; Douglas J. Leith
Pubblicato in: IEEE Transactions on Network and Service Management, Numero 19(3), 2022, Pagina/e 3090 - 3104, ISSN 1932-4537
Editore: Institute of Electrical and Electronics Engineers
DOI: 10.1109/tnsm.2022.3174776

Improving network delay predictions using GNNs

Autori: Miquel Farreras; Paola Soto; Miguel Camelo; Lluís Fàbrega; Pere Vilà
Pubblicato in: Journal of Network and Systems Management, Numero 31(65), 2023, ISSN 1064-7570
Editore: Kluwer Academic Publishers
DOI: 10.1007/s10922-023-09758-9

Open Radio Access Networks (O-RAN) Experimentation Platform: Design and Datasets

Autori: J. Xavier Salvat; Jose A. Ayala-Romero; Lanfranco Zanzi; Andres Garcia-Saavedra; Xavier Costa-Perez
Pubblicato in: IEEE Communications Magazine, Numero 61(9), 2023, Pagina/e 138 - 144, ISSN 0163-6804
Editore: Institute of Electrical and Electronics Engineers
DOI: 10.1109/mcom.003.2200711

Migration-Aware Network Services With Edge Computing

Autori: Mukhopadhyay, A., Iosifidis, G., & Ruffini, M.
Pubblicato in: IEEE Transactions on Network and Service Management, Numero 19(2), 2022, Pagina/e 1458 - 1471, ISSN 1932-4537
Editore: Institute of Electrical and Electronics Engineers
DOI: 10.1109/tnsm.2021.3139857

ATHENA: Machine Learning and Reasoning for Radio Resources Scheduling in vRAN systems

Autori: Apostolakis, N., Gramaglia, M., Chatzieleftheriou, L. E., Subramanya, T., Banchs, A., & Sanneck, H.
Pubblicato in: IEEE Journal on Selected Areas in Communications, Numero 42(2), 2024, Pagina/e 263 - 279, ISSN 0733-8716
Editore: Institute of Electrical and Electronics Engineers
DOI: 10.1109/jsac.2023.3336155

Energy-Efficient Deployment of IoT Applications in Edge-Based Infrastructures: A Software Product Line Approach

Autori: Cañete, Angel; Amor, Mercedes; Fuentes, Lidia
Pubblicato in: IEEE Internet of Things Journal, Numero 8, 2021, ISSN 2327-4662
Editore: Institute of Electrical and Electronics Engineers Inc.
DOI: 10.5281/zenodo.4605644

Toward native explainable and robust AI in 6G networks: Current state, challenges and road ahead

Autori: Claudio Fiandrino; Giulia Attanasio; Marco Fiore; Joerg Widmer
Pubblicato in: Computer Communications, Numero 193, 2022, Pagina/e 47-52, ISSN 0140-3664
Editore: Elsevier BV
DOI: 10.1016/j.comcom.2022.06.036

SLA Decomposition for Network Slicing: A Deep Neural Network Approach

Autori: Cyril Shih-Huan Hsu; Danny De Vleeschauwer; Chrysa Papagianni
Pubblicato in: IEEE Networking Letters, Numero 5(4), 2023, Pagina/e 294 - 298, ISSN 2576-3156
Editore: Institute of Electrical and Electronics Engineers
DOI: 10.1109/lnet.2023.3310359

Transforming Numerical Feature Models into Propositional Formulas and the Universal Variability Language

Autori: Daniel-Jesus Munoz; Monica Pinto; Lidia Fuentes; Don Batory
Pubblicato in: Journal of Systems and Software, Numero 204, 2023, ISSN 0164-1212
Editore: Elsevier BV
DOI: 10.1016/j.jss.2023.111770

Digital Twins for Next-Generation Mobile Networks: Applications and Solutions

Autori: Apostolakis, Nikolaos; Chatzieleftheriou, Livia Elena; Bega, Dario; Gramaglia, Marco; Banchs, Albert
Pubblicato in: IEEE Communications Magazine, Numero 61(11), 2023, Pagina/e 80 - 86, ISSN 0163-6804
Editore: Institute of Electrical and Electronics Engineers
DOI: 10.1109/mcom.001.2200854

AIRIC: Orchestration of Virtualized Radio Access Networks With Noisy Neighbours

Autori: Josep Xavier Salvat Lozano; Andres Garcia-Saavedra; Xi Li; Xavier Costa Perez
Pubblicato in: IEEE Journal on Selected Areas in Communications, Numero 42(2), 2023, Pagina/e 432 - 445, ISSN 0733-8716
Editore: Institute of Electrical and Electronics Engineers
DOI: 10.1109/jsac.2023.3339749

Birkhoff's Decomposition Revisited: Sparse Scheduling for High-Speed Circuit Switches

Autori: Victor Valls; George Iosifidis; Leandros Tassiulas
Pubblicato in: IEEE - ACM Transactions on Networking, 29(6), Numero 29, 2021, Pagina/e Volume 29, Numero 6, ISSN 1063-6692
Editore: Institute of Electrical and Electronics Engineers
DOI: 10.1109/tnet.2021.3088327

Combining multiple granularity variability in a software product line approach for web engineering

Autori: Horcas, Jose-Miguel; Cortiñas, Alejandro; Fuentes, Lidia; R. Luaces, Miguel
Pubblicato in: Information and Software Technology, Numero 148, 2022, ISSN 0950-5849
Editore: Elsevier BV
DOI: 10.1016/j.infsof.2022.106910

Managing the far-Edge: are today's centralized solutions a good fit?

Autori: Baldoni, Gabriele; Cominardi, Luca; Groshev, Milan; De la Oliva, Antonio; Corsaro, Angelo
Pubblicato in: IEEE Consumer Electronics Magazine, Numero 36, 2021, ISSN 2162-2256
Editore: Institute of Electrical and Electronics Engineers Inc.
DOI: 10.5281/zenodo.4923689

O-RAN: Analysis of Latency-Critical Interfaces and Overview of Time Sensitive Networking Solutions

Autori: Esteban Municio; Gines Garcia-Aviles; Andres Garcia-Saavedra; Xavier Costa-Pérez
Pubblicato in: IEEE Communications Standards Magazine, Numero 7(3), 2023, Pagina/e 82 - 89, ISSN 2471-2825
Editore: Institute of Electrical and Electronics Engineers
DOI: 10.1109/mcomstd.0001.2200041

Deep Multi-Agent Reinforcement Learning With Minimal Cross-Agent Communication for SFC Partitioning

Autori: Pentelas, Angelos; De Vleeschauwer, Danny; Chang, Chia-Yu; De Schepper, Koen; Papadimitriou, Panagiotis
Pubblicato in: IEEE Access, Numero 11, 2023, Pagina/e 40384-40398, ISSN 2169-3536
Editore: Institute of Electrical and Electronics Engineers Inc.
DOI: 10.1109/access.2023.3269576

Data-centric Service-Based Architecture for Edge-Native 6G Network

Autori: Baldoni, G., Quevedo, J., Guimaraes, C., De la Oliva, A., & Corsaro, A.
Pubblicato in: IEEE Communication Magazine, Numero 62(4), 2024, Pagina/e 32 - 38, ISSN 0163-6804
Editore: Institute of Electrical and Electronics Engineers
DOI: 10.1109/mcom.001.2300178

Detecting Feature Influences to Quality Attributes in Large and Partially Measured Spaces using Smart Sampling and Dynamic Learning in Knowledge-Based Systems

Autori: Daniel-Jesus Munoz; Monica Pinto; Lidia Fuentes
Pubblicato in: Knowledge-Based Systems, Numero 270, 2023, ISSN 0950-7051
Editore: Elsevier BV
DOI: 10.1016/j.knosys.2023.110558

Risk-Aware Continuous Control with Neural Contextual Bandits

Autori: Ayala-Romero, Jose A.; Garcia-Saavedra, Andres; Costa-Perez, Xavier
Pubblicato in: Proceedings of the AAAI Conference on Artificial Intelligence, Numero 38(19), 2024, Pagina/e 20930-20938, ISSN 2374-3468
Editore: Association for the Advancement of Artificial Intelligence
DOI: 10.1609/aaai.v38i19.30083

A modular metamodel and refactoring rules to achieve software product line interoperability

Autori: Jose-Miguel Horcas, Mónica Pinto, Lidia Fuentes
Pubblicato in: Journal of Systems and Software, Numero 197, 2023, ISSN 0164-1212
Editore: Elsevier BV
DOI: 10.1016/j.jss.2022.111579

Elastic FemtoCaching: Scale, Cache, and Route

Autori: Kwak, Jeongho; Paschos, Georgios; Iosifidis, George
Pubblicato in: IEEE Transactions on Wireless Communications, Numero 20, 2021, Pagina/e 4174 - 4189, ISSN 1536-1276
Editore: Institute of Electrical and Electronics Engineers
DOI: 10.5281/zenodo.4967023

O-RAN: Disrupting the Virtualized RAN Ecosystem

Autori: Andres Garcia-Saavedra; Xavier Costa-Perez
Pubblicato in: IEEE Communications Standards Magazine, Numero 5, 2021, ISSN 2471-2825
Editore: Institute of Electrical and Electronics Engineers
DOI: 10.5281/zenodo.5746870

Quid pro Quo in Streaming Services: Algorithms for Cooperative Recommendations

Autori: Dimitra Tsigkari; George Iosifidis; Thrasyvoulos Spyropoulos
Pubblicato in: IEEE Transactions on Mobile Computing, Numero 23(2), 2023, Pagina/e 1753 - 1768, ISSN 1536-1233
Editore: Institute of Electrical and Electronics Engineers
DOI: 10.1109/tmc.2023.3240006

HADES: An NFV solution for energy-efficient placement and resource allocation in heterogeneous infrastructures. Study dataset

Autori: Ángel Cañete, Mercedes Amor, Lidia Fuentes
Pubblicato in: Journal of Network and Computer Applications, Numero 221, 2023, ISSN 1084-8045
Editore: Academic Press
DOI: 10.1016/j.jnca.2023.103764

vrAIn: Deep Learning based Orchestration for Computing and Radio Resources in vRANs

Autori: Jose A. Ayala-Romero; Andres Garcia-Saavedra; Marco Gramaglia; Xavier Costa-Perez; Albert Banchs; Juan J. Alcaraz
Pubblicato in: IEEE Transactions on Mobile Computing, Numero 47, 2020, ISSN 1536-1233
Editore: Institute of Electrical and Electronics Engineers
DOI: 10.5281/zenodo.5746896

Orchestrating Energy-Efficient vRANs: Bayesian Learning and Experimental Results

Autori: Jose A. Ayala-Romero; Andres Garcia-Saavedra; Xavier Costa-Perez; George Iosifidis
Pubblicato in: IEEE Transactions on Mobile Computing, Numero 7, 2021, ISSN 1536-1233
Editore: Institute of Electrical and Electronics Engineers
DOI: 10.5281/zenodo.5747905

ATARI: A Graph Convolutional Neural Network Approach for Performance Prediction in Next-Generation WLANs.

Autori: Paola Soto; Miguel Camelo; Kevin Mets; Francesc Wilhelmi; David Góez; Luis Alejandro Fletscher; Natalia Gaviria; Peter Hellinckx; Juan Felipe Botero; Steven Latre
Pubblicato in: Sensors (Basel, Switzerland), Numero 6, 2021, ISSN 1424-8220
Editore: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/s21134321

Network Intelligence for NFV Scaling in Closed-Loop Architectures

Autori: Soto, Paola; Camelo, Miguel; De Vleeschauwer, Danny; De Bock, Yorick; Chang, Chia-Yu; Botero, Juan F.; Latré, Steven
Pubblicato in: IEEE Communications Magazine, Numero 61(6), 2023, Pagina/e 66 - 72, ISSN 0163-6804
Editore: Institute of Electrical and Electronics Engineers
DOI: 10.1109/mcom.001.2200529

A Dataflow-Oriented Approach for Machine-Learning-Powered Internet of Things Applications

Autori: Baldoni, G.; Teixeira, R.;Guimarães, C.; Antunes M.; GomesD.; Corsaro A.
Pubblicato in: Electronics, Numero 12, 3940, 2023, ISSN 2079-9292
Editore: MDPI
DOI: 10.3390/electronics12183940

Learning-Based Reservation of Virtualized Network Resources

Autori: Jean-Baptiste Monteil; George Iosifidis; Luiz A. DaSilva
Pubblicato in: IEEE Transactions on Network and Service Management, Numero 19(3), 2022, Pagina/e 2001 - 2016, ISSN 1932-4537
Editore: Institute of Electrical and Electronics Engineers
DOI: 10.1109/tnsm.2022.3144774

A General Approach for Traffic Classification in Wireless Networks using Deep Learning

Autori: Miguel Camelo; Paola Soto; Steven Latré
Pubblicato in: IEEE Transactions on Network and Service Management, Numero 6, 2021, ISSN 1932-4537
Editore: Institute of Electrical and Electronics Engineers
DOI: 10.5281/zenodo.5236573

A Methodology to Design Quantized Deep Neural Networks for Automatic Modulation Recognition

Autori: David Góez; Paola Soto; Steven Latré; Natalia Gaviria; Miguel Camelo
Pubblicato in: Algorithms, Numero 15(12), 441, 2022, ISSN 1999-4893
Editore: MDPI Open Access Publishing
DOI: 10.3390/a15120441

Design and Validation of an Open Source Cloud Native Mobile Network

Autori: Apostolakis, Nikolaos; Gramaglia, Marco; Serrano, Pablo
Pubblicato in: IEEE Communications Magazine, Numero 60(11), 2022, Pagina/e 66 - 72, ISSN 0163-6804
Editore: Institute of Electrical and Electronics Engineers
DOI: 10.1109/mcom.003.2200195

Supporting IoT applications deployment on edge-based infrastructures using multi-layer feature models

Autori: Cañete, Angel; Amor, Mercedes; Fuentes, Lidia
Pubblicato in: Journal of Systems and Software, Numero 183, 2021, ISSN 0164-1212
Editore: Elsevier BV
DOI: 10.5281/zenodo.5476111

AI-Empowered Management and Orchestration of Vehicular Systems in the Beyond 5G Era

Autori: Slamnik-Kriještorac, N., Camelo, M., Chang, C.-Y., Soto, P., Cominardi, L., De Vleeschauwer, D., Latré, S., & Marquez-Barja, J.
Pubblicato in: IEEE Network, Numero 37(4), 2023, Pagina/e 305 - 313, ISSN 0890-8044
Editore: Institute of Electrical and Electronics Engineers
DOI: 10.1109/mnet.008.2300024

Empirical analysis of the tool support for software product lines

Autori: José Miguel Horcas; Mónica Pinto; Lidia Fuentes
Pubblicato in: Software and Systems Modeling, Numero 22, 2023, Pagina/e 377–414, ISSN 1619-1366
Editore: Springer Verlag
DOI: 10.1007/s10270-022-01011-2

RadiOrchestra: Proactive Management of Millimeter-Wave Self-Backhauled Small Cells via Joint Optimization of Beamforming, User Association, Rate Selection, and Admission Control

Autori: Luis F. Abanto-Leon; Arash Asadi; Andres Garcia-Saavedra; Gek Hong Sim; Matthias Hollick
Pubblicato in: IEEE Transactions on Wireless Communications, Numero 22(1), 2023, Pagina/e 153 - 173, ISSN 1536-1276
Editore: Institute of Electrical and Electronics Engineers
DOI: 10.1109/twc.2022.3191744

ProDSPL: Proactive Self-Adaptation based on Dynamic Software Product Lines

Autori: Inmaculada Ayala; Alessandro V. Papadopoulos; Mercedes Amor; Lidia Fuentes
Pubblicato in: Journal of Systems and Software, Numero 175, 2021, ISSN 0164-1212
Editore: Elsevier BV
DOI: 10.5281/zenodo.4616618

Research Landscape – 6G Networks Research in Europe

Autori: Soumaya Cherkaoui
Pubblicato in: IEEE Network, Numero 36(6), 2021, Pagina/e 4-6, ISSN 0890-8044
Editore: Institute of Electrical and Electronics Engineers
DOI: 10.1109/mnet.2021.9687530

Privacy-Preserving AI for Future Networks

Autori: Diego Perino, Kleomenis Katevas, Andra Lutu, Eduard Marin, Nicolas Kourtellis
Pubblicato in: Communications of the ACM, Numero 65(4), 2022, Pagina/e 52-53, ISSN 0001-0782
Editore: Association for Computing Machinery
DOI: 10.1145/3512343

Guest Editorial: Network Applications Software for Vertical IoT Industry

Autori: Bessem Sayadi; Chia-Yu Chang; Christos Tranoris; Qi Wang; Abhimanyu Gosain; Akihiro Nakao; Yue Wang
Pubblicato in: IEEE Internet of Things Magazine, Numero 5(4), 2022, Pagina/e 112 - 114, ISSN 2576-3180
Editore: Institute of Electrical and Electronics Engineers
DOI: 10.1109/miot.2022.10012471

5G PPP Architecture Working Group - View on 5G Architecture, Version 4.0

Autori: Gavras, Anastasius; Bulakci, Ömer; Gramaglia, Marco; Iordache, Marius; Ghoraishi, Mir; Garcia, Antonio; Cogalan, Tezcan; Gutiérrez, Jesús; Tzanakaki, Anna; Warren, Dan; Li, Xi; Landi, Giada; Mangues, Josep; Tsagkaris, Kostas; Frascolla, Valerio; Lee, Haeyoung
Pubblicato in: Numero 26, 2021
Editore: 5GPPP Architecture Working Group
DOI: 10.5281/zenodo.5155657

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