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CORDIS

Network intelligence for aDAptive and sElf-Learning MObile Networks

Rezultaty

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

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

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

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

Publikacje

Fair Resource Allocation in Virtualized O-RAN Platforms

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

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

Autorzy: Munoz, Daniel-Jesus; Pinto, Monica; Gurov, Dilian; Fuentes, Lidia
Opublikowane w: SPLC '22: Proceedings of the 26th ACM International Systems and Software Product Line Conference, Numer 26, 2022, Strona(/y) 132–139, ISBN 978-1-4503-9443-7
Wydawca: Association for Computing Machinery
DOI: 10.1145/3503229.3547057

Network Intelligence for Virtualized RAN Orchestration: The DAEMON Approach

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

Variability in data transformation: towards data migration product lines

Autorzy: Romero Organvidez, D., Benavides, D., Horcas, J. M., & Gómez López, M. T.
Opublikowane w: VaMoS '24: Proceedings of the 18th International Working Conference on Variability Modelling of Software-Intensive Systems, Numer 18, 2024, Strona(/y) 83–92, ISBN 979-8-4007-0877-0
Wydawca: Association for Computing Machinery
DOI: 10.1145/3634713.3634724

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

Autorzy: Nina Slamnik-Kriještorac; Paola Soto; Miguel Camelo; Luca Cominardi; Steven Latré; Johann M. Marquez-Barja
Opublikowane w: IEEE Consumer Communications & Networking Conference 2022, Numer 7, 2021
Wydawca: Institute of Electrical and Electronics Engineers
DOI: 10.5281/zenodo.5767796

Quality-aware analysis and optimisation of virtual network functions

Autorzy: Munoz, Daniel-Jesus; Pinto, Monica; Fuentes, Lidia
Opublikowane w: SPLC '22: Proceedings of the 26th ACM International Systems and Software Product Line Conference, Numer 26, 2022, Strona(/y) 210–221, ISBN 978-1-4503-9443-7
Wydawca: Association for Computing Machinery
DOI: 10.1145/3546932.3547007

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

Autorzy: Angel Cañete; Alberto Rodriguez; Lidia Fuentes; Mercedes Amor
Opublikowane w: Jornadas de Ingeniería del Software y Bases de Datos (JISBD), Numer 17, 2021
Wydawca: Sociedad Científica Informática de España
DOI: 10.5281/zenodo.5075287

Nuberu: a reliable DU design suitable for virtualization platforms

Autorzy: Garcia-Aviles, G., Garcia-Saavedra, A., Gramaglia, M., Costa-Perez, X., Serrano, P. & Banchs, A.
Opublikowane w: MobiCom '21: Proceedings of the 27th Annual International Conference on Mobile Computing and Networking, Numer 27, 2021, Strona(/y) 862–864, ISBN 978-1-4503-8342-4
Wydawca: 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

Autorzy: Nina Slamnik-Kriještorac; Miguel Camelo; Luca Cominardi; Steven Latré; Johann M. Marquez-Barja
Opublikowane w: IEEE Consumer Communications & Networking Conference 2022, Numer 11, 2021
Wydawca: Institute of Electrical and Electronics Engineers
DOI: 10.5281/zenodo.5767768

Elimination of constraints for parallel analysis of feature models

Autorzy: Jose-Miguel Horcas, Joaquin Ballesteros, Mónica Pinto, Lidia Fuentes
Opublikowane w: SPLC '23: Proceedings of the 27th ACM International Systems and Software Product Line Conference, Numer 27 Vol.A, 2023, Strona(/y) 99–110, ISBN 979-8-4007-0091-0
Wydawca: Association for Computing Machinery
DOI: 10.1145/3579027.3608981

EdgeBOL: Automating Energy-savings for Mobile Edge AI

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

No-Regret Slice Reservation Algorithms

Autorzy: Monteil, Jean-Baptiste; Iosifidis, George; DaSilva, Luiz
Opublikowane w: IEEE International Conference on Communications (ICC), Numer 8, 2021
Wydawca: 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

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

Global mobile network aggregators: taxonomy, roaming performance and optimization

Autorzy: Sergi Alcalá-Marín, Aravindh Raman, Weili Wu, Andra Lutu, Marcelo Bagnulo, Ozgu Alay, Fabian E. Bustamante
Opublikowane w: MobiSys '22: Proceedings of the 20th Annual International Conference on Mobile Systems, Applications and Services, Numer 20, 2022, Strona(/y) 183–195, ISBN 978-1-4503-9185-6
Wydawca: Association for Computing Machinery
DOI: 10.1145/3498361.3538942

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

Autorzy: 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
Opublikowane w: 2022 IEEE 19th Annual Consumer Communications & Networking Conference (CCNC), Numer 19, 2022, ISBN 978-1-6654-3161-3
Wydawca: Institute of Electrical and Electronics Engineers
DOI: 10.1109/ccnc49033.2022.9700729

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

Autorzy: Collet, Alan; Bazco-Nogueras, Antonio; Banchs, Albert; Fiore, Marco
Opublikowane w: IEEE INFOCOM 2023 - IEEE Conference on Computer Communications, Numer 2023, 2023, ISBN 979-8-3503-3414-2
Wydawca: Institute of Electrical and Electronics Engineers
DOI: 10.1109/infocom53939.2023.10229064

Network Intelligence in 6G: challenges and opportunities

Autorzy: A. Banchs, M. Fiore, M. Gramaglia, A. Garcia-Saavedra
Opublikowane w: MobiArch '21: Proceedings of the 16th ACM Workshop on Mobility in the Evolving Internet Architecture, Numer 16, 2021, Strona(/y) Pages 7–12, ISBN 978-1-4503-4257-5
Wydawca: Association for Computing Machinery
DOI: 10.5281/zenodo.5524560

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

Autorzy: Kalntis, Michail; Iosifidis, George
Opublikowane w: GLOBECOM 2022 - 2022 IEEE Global Communications Conference, Numer 2022, 2022, ISBN 978-1-6654-3540-6
Wydawca: 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

Autorzy: Munoz, Daniel-Jesus; Constantinescu, Denisa-Andreea
Opublikowane w: 2021 IEEE INTERNATIONAL CONFERENCE ON INNOVATION AND INTELLIGENCE FOR INFORMATICS, COMPUTING,AND TECHNOLOGIES (3ICT 2021), Numer 8, 2021
Wydawca: Institute of Electrical and Electronics Engineers
DOI: 10.1109/3ict53449.2021.9581525

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

Autorzy: Kleidi Ismailaj; Miguel Camelo; Steven Latré
Opublikowane w: IEEE/IFIP International Workshop on Analytics for Network and Service Management, Numer 7, 2021
Wydawca: International Federation for Information Processing
DOI: 10.5281/zenodo.5127129

Optimistic No-regret Algorithms for Discrete Caching

Autorzy: Naram Mhaisen; Abhishek Sinha; Georgios Paschos; George Iosifidis
Opublikowane w: Proceedings of the ACM on Measurement and Analysis of Computing Systems (POMACS), Numer 6(3), 2022, ISSN 2476-1249
Wydawca: Association for Computing Machinery
DOI: 10.1145/3570608

Forecasting for Network Management with Joint Statistical Modelling and Machine Learning

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

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

Autorzy: Martínez, Jabier; Strüber, Daniel; Horcas, Jose-Miguel; Burdusel, Alexandru; Zschaler, Steffen
Opublikowane w: SPLC '22: Proceedings of the 26th ACM International Systems and Software Product Line Conference, Numer 26 Vol.B, 2022, Strona(/y) 50–53, ISBN 978-1-4503-9206-8
Wydawca: Association for Computing Machinery
DOI: 10.1145/3503229.3547067

Nuberu: Reliable RAN Virtualization in Shared Platforms

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

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

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

Enabling Long-term Fairness in Dynamic Resource Allocation

Autorzy: Tareq Si Salem; Georgios Iosifidis; Giovanni Neglia
Opublikowane w: Proceedings of the ACM on Measurement and Analysis of Computing Systems, Numer 6(3), 2022, Strona(/y) 1-36, ISSN 2476-1249
Wydawca: Association for Computing Machinery
DOI: 10.1145/3570606

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

Autorzy: M. Camelo; L. Cominardi; M. Gramaglia; M. Fiore; A. Garcia-Saavedra; L. Fuentes; D. De Vleeschauwer; P. Soto; N. Slamnik-Kriještorac; J. Ballesteros; C.-Y. Chang; G. Baldoni; J.M. Marquez-Barja; P. Hellinckx; S. Latré
Opublikowane w: 1st International Workshop on 6G: Visions, Use Cases and Technologies. IEEE Consumer Communications & Networking Conference, 2021
Wydawca: Institute of Electrical and Electronics Engineers
DOI: 10.5281/zenodo.5767861

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

Autorzy: Chaoyun Zhang; Marco Fiore; Iain Murray; Paul Patras
Opublikowane w: Thirty-Fifth AAAI Conference on Artificial Intelligence, Numer 8, 2021
Wydawca: IEEE
DOI: 10.5281/zenodo.5524838

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

Autorzy: Alcalá-Marín, Sergi; Bazco Nogueras, Antonio; BANCHS, ALBERT; Fiore, Marco
Opublikowane w: MobiHoc '23: Proceedings of the Twenty-fourth International Symposium on Theory, Algorithmic Foundations, and Protocol Design for Mobile Networks and Mobile Computing, Numer 24, 2023, Strona(/y) 51–60, ISBN 978-1-4503-9926-5
Wydawca: Association for Computing Machinery
DOI: 10.1145/3565287.3610265

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

Autorzy: Paul Almasan; Krzysztof Rusek; Shihan Xiao; Xiang Shi; Xiangle Cheng; Albert Cabellos-Aparicio; Pere Barlet-Ros
Opublikowane w: GNNet '23: Proceedings of the 2nd on Graph Neural Networking Workshop 2023, Numer 2, 2023, Strona(/y) 1–6, ISBN 979-8-4007-0448-2
Wydawca: Association for Computing Machinery
DOI: 10.1145/3630049.3630170

Towards Autonomous VNF Auto-scaling using Deep Reinforcement Learning

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

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

Autorzy: M. Rossanese, P. Mursia, A. Garcia-Saavedra, V. Sciancalepore, A. Asadi, X. Costa-Perez
Opublikowane w: WiNTECH '22: Proceedings of the 16th ACM Workshop on Wireless Network Testbeds, Experimental evaluation & CHaracterization, Numer 16, 2022, Strona(/y) 69–76, ISBN 978-1-4503-9527-4
Wydawca: Association for Computing Machinery
DOI: 10.1145/3556564.3558236

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

Autorzy: Baldoni, Gabriele; Loudet, Julien; Cominardi, Luca; Corsaro, Angelo; He, Yong
Opublikowane w: MobileServerless'21: Proceedings of the 1st Workshop on Serverless mobile networking for 6G Communications, Numer 1, 2021, Strona(/y) 13–18, ISBN 978-1-4503-8603-6
Wydawca: Association for Computing Machinery
DOI: 10.1145/3469263.3469858

Detecting Contextual Network Anomalies with Graph Neural Networks

Autorzy: Hamid Latif; José Suárez-Varela; Albert Cabellos-Aparicio; Pere Barlet-Ros
Opublikowane w: GNNet '23: Proceedings of the 2nd on Graph Neural Networking Workshop 2023, Numer 2, 2023, Strona(/y) 25–30, ISBN 979-8-4007-0448-2
Wydawca: Association for Computing Machinery
DOI: 10.1145/3630049.3630171

Zenoh-based Dataflow Framework for Autonomous Vehicles

Autorzy: Baldoni, Gabriele; Loudet, Julien; Cominardi, Luca; Corsaro, Angelo; He, Yong
Opublikowane w: IEEE International Symposium on Autonomous Vehicle Software (AVS 2021) (IEEE QRS 2021 AVS), Hainan Island, China, December 6-10, 2021, Numer 2, 2021
Wydawca: 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

Autorzy: Cañete, Ángel; Rodríguez, Alberto; Amor, Mercedes; Fuentes, Lidia
Opublikowane w: Service-Oriented Computing – ICSOC 2022 Workshops. ICSOC 2022. Lecture Notes in Computer Science., Numer 13821, 2023, Strona(/y) 183-195, ISBN 978-3-031-26506-8
Wydawca: Springer
DOI: 10.1007/978-3-031-26507-5_15

Henna: hierarchical machine learning inference in programmable switches

Autorzy: Akem Aristide Tanyi-Jong; Beyza Bütün; Michele Gucciardo; Marco Fiore
Opublikowane w: NativeNi '22: Proceedings of the 1st International Workshop on Native Network Intelligence. CoNEXT '22: The 18th International Conference on emerging Networking EXperiments and Technologies, Numer 1, 2022, Strona(/y) 1–7, ISBN 978-1-4503-9887-9
Wydawca: Association for Computing Machinery
DOI: 10.1145/3565009.3569520

Enhancing 5G Radio Planning with Graph Representations and Deep Learning

Autorzy: Paul Almasan; José Suárez-Varela; Andra Lutu; Albert Cabellos-Aparicio; Pere Barlet-Ros
Opublikowane w: 5G-MeMU '23: Proceedings of the 3rd ACM Workshop on 5G and Beyond Network Measurements, Modeling, and Use Cases, Numer 3, 2023, Strona(/y) 14–20, ISBN 979-8-4007-0301-0
Wydawca: Association for Computing Machinery
DOI: 10.1145/3609382.3610509

Teoría de Categorías Aplicada a Variabilidad

Autorzy: Daniel-Jesus Munoz; Monica Pinto; Lidia Fuentes
Opublikowane w: Jornadas de Ingeniería del Software y Bases de Datos (JISBD), Numer 11, 2021
Wydawca: Sociedad Científica Informática de España
DOI: 10.5281/zenodo.4974524

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

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

Insights from Operating an IP Exchage Provider

Autorzy: Lutu, Andra; Perino, Diego; Bagnulo, Marcelo; Bustamante, Fabián E.
Opublikowane w: Proceedings of the 2021 ACM SIGCOMM 2021 Conference, Numer 32, 2021, ISBN 978-1-4503-8383-7
Wydawca: Association for Computing Machinery
DOI: 10.5281/zenodo.5722464

Development and Evolution of Software Product Lines Driven by Stakeholder Beliefs

Autorzy: Lola Burgueño, Jose-Miguel Horcas, Jörg Kienzle
Opublikowane w: SPLC '23: Proceedings of the 27th ACM International Systems and Software Product Line Conference, Numer 27 Vol.A, 2023, Strona(/y) 34–40, ISBN 979-8-4007-0091-0
Wydawca: Association for Computing Machinery
DOI: 10.1145/3579027.3608975

Applying QoS in FaaS applications: a Software Product Line approach

Autorzy: Serrano-Gutierrez, P., Ayala, I., & Fuentes, L.
Opublikowane w: Joint Post-proceedings of the Third and Fourth International Conference on Microservices (Microservices 2020/2022). Open Access Series in Informatics (OASIcs), Numer 111, 2023, Strona(/y) 9:1-9:15
Wydawca: Dagstuhl Publishing
DOI: 10.4230/oasics.microservices.2020-2022.9

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

Autorzy: Horcas, Jose-Miguel; Galindo, José A.; Pinto, Mónica; Fuentes, Lidia; Benavides, David
Opublikowane w: SPLC '22: Proceedings of the 26th ACM International Systems and Software Product Line Conference, Numer 26 Vol.B, 2022, Strona(/y) 42–45, ISBN 978-1-4503-9206-8
Wydawca: 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

Autorzy: Marco Rossanese, Andres Garcia-Saavedra, Andra Elena Lutu, Xavier Costa Perez
Opublikowane w: Proceedings of the ACM on Networking, CONEXT3, Numer Vol.1, 2023, Strona(/y) 1–20, ISSN 2834-5509
Wydawca: Association for Computing Machinery
DOI: 10.1145/3629134

Composición Categórica de Análisis Automáticos para Líneas de Productos Extendidas

Autorzy: Daniel-Jesus Munoz; Monica Pinto; Lidia Fuentes
Opublikowane w: Actas de las XXVI Jornadas de Ingeniería del Software y Bases de Datos (JISBD 2022), Numer 26, 2022
Wydawca: Sistedes
DOI: 10.5281/zenodo.6658078

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

Autorzy: Cañete, Angel; Djemame, Karim; Amor, Mercedes; Fuentes, Lidia; Aljulayfi, Abdullah
Opublikowane w: 2022 IEEE/ACM 15th International Conference on Utility and Cloud Computing (UCC), Numer 15, 2022, ISBN 978-1-6654-6087-3
Wydawca: 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

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

A FaaS Approach for Long-Term Monitoring in Rehabilitation

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

AutoML for Video Analytics with Edge Computing

Autorzy: Galanopoulos, Apostolos; Ayala-Romero, Jose; Leith, Douglas; Iosifidis, George
Opublikowane w: IEEE International Conference on Computer Communications (INFOCOM), Numer 26, 2021
Wydawca: IEEE
DOI: 10.5281/zenodo.4966558

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

Autorzy: Ayala-Romero, Jose; Garcia-Saavedra, Andres; Costa-Perez, Xavier; Iosifidis, George
Opublikowane w: IEEE International Conference on Computer Communications (INFOCOM), Numer 31, 2021
Wydawca: IEEE
DOI: 10.5281/zenodo.4966637

DAEMON: A Network Intelligence Plane for 6G Networks

Autorzy: Camelo, Miguel; Gramaglia, Marco; Soto, Paola; Fuentes, Lidia; Ballesteros, Joaquín; Bazco-Nogueras, Antonio; Garcia-Aviles, Gines; Latré, Steven; Garcia-Saavedra, Andres; Fiore, Marco
Opublikowane w: 2022 IEEE Globecom Workshops (GC Wkshps), Numer 2022, 2022, ISBN 978-1-6654-5975-4
Wydawca: 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

Autorzy: José A. Galindo, Jose-Miguel Horcas, Alexander Felferning, David Fernandez-Amoros, David Benavides
Opublikowane w: SPLC '23: Proceedings of the 27th ACM International Systems and Software Product Line Conference, Numer 27 Vol.B, 2023, Strona(/y) 16–19, ISBN 979-8-4007-0092-7
Wydawca: Association for Computing Machinery
DOI: 10.1145/3579028.3609008

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

Autorzy: Rajkarn Singh; Cengis Hasan; Xenofon Foukas; Marco Fiore; Mahesh K. Marina; Yue Wang
Opublikowane w: IEEE Conference on Computer Communications Workshops (INFOCOM) 2021, Numer 31, 2021
Wydawca: IEEE
DOI: 10.5281/zenodo.5524774

Category Theory Framework for Variability Models with Non-Functional Requirements

Autorzy: Daniel-Jesus Munoz; Dilian Gurov; Monica Pinto; Lidia Fuentes
Opublikowane w: Advanced Information Systems Engineering, Numer 1, 2021
Wydawca: Springer
DOI: 10.5281/zenodo.4599585

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

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

Teoría de Categorías Aplicada a Variabilidad

Autorzy: Daniel-Jesus Munoz; Monica Pinto; Lidia Fuentes
Opublikowane w: Actas de las XXV Jornadas de Ingeniería del Software y Bases de Datos (JISBD 2021), Numer 25, 2021
Wydawca: Sistedes
DOI: 10.5281/zenodo.4974523

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

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Experimental Evaluation of Power Consumption in Virtualized Base Stations

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Deep Reinforcement Learning for Orchestrating Cost-Aware Reconfigurations of vRANs

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Selective Edge Computing for Mobile Analytics

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

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Migration-Aware Network Services With Edge Computing

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

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AIRIC: Orchestration of Virtualized Radio Access Networks With Noisy Neighbours

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

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

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

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

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

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Risk-Aware Continuous Control with Neural Contextual Bandits

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Orchestrating Energy-Efficient vRANs: Bayesian Learning and Experimental Results

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

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Network Intelligence for NFV Scaling in Closed-Loop Architectures

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

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Learning-Based Reservation of Virtualized Network Resources

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

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

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Design and Validation of an Open Source Cloud Native Mobile Network

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

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

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Empirical analysis of the tool support for software product lines

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

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

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Research Landscape – 6G Networks Research in Europe

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Privacy-Preserving AI for Future Networks

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Guest Editorial: Network Applications Software for Vertical IoT Industry

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

Autorzy: 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
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