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

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.

Publikacje

No-Regret Slice Reservation Algorithms

Autorzy: Monteil, J.-B., Iosifidis, G., & DaSilva, L.
Opublikowane w: ICC 2021 - IEEE International Conference on Communications, 2021, ISBN 978-1-7281-7122-7
Wydawca: Institute of Electrical and Electronics Engineers
DOI: 10.1109/icc42927.2021.9500530

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

Spotlight on 5G: Performance, Device Evolution and Challenges from a Mobile Operator Perspective

Autorzy: Paniz Parastar; Andra Lutu; Özgü Alay; Giuseppe Caso; Diego Perino
Opublikowane w: IEEE INFOCOM 2023 - IEEE Conference on Computer Communications, 2023, ISBN 979-8-3503-3414-2
Wydawca: Institute of Electrical and Electronics Engineers
DOI: 10.1109/infocom53939.2023.10229108

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

Online Caching with Optimistic Learning

Autorzy: Mhaisen, N.; Iosifidis, G.; Leith, Douglas
Opublikowane w: Proceedings of the 2022 IFIP Networking Conference (IFIP Networking), 2022, ISBN 978-3-903176-48-5
Wydawca: Institute of Electrical and Electronics Engineers
DOI: 10.23919/ifipnetworking55013.2022.9829806

A Data Flow Programming Framework for 6G-Enabled Internet of Things Applications.

Autorzy: Baldoni, G., Loudet, J., Guimaraes, C., Nair, S., & Corsaro, A.
Opublikowane w: 9th IEEE World Forum on Internet of Things (IEEE WFIoT2023) (IEEE WFIoT2023), 2023
Wydawca: Institute of Electrical and Electronics Engineers
DOI: 10.5281/zenodo.10025848

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

Utilising Correlation at the Edge with Deep Reinforcement Learning

Autorzy: Hribar, Jernej; Shinkuma, Ryoichi; Iosifidis, George; Dusparic, Ivana
Opublikowane w: 2021 IEEE Global Communications Conference (GLOBECOM), 2022, ISBN 978-1-7281-8104-2
Wydawca: Institute of Electrical and Electronics Engineers
DOI: 10.1109/globecom46510.2021.9685166

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

Orchestration Procedures for the Network Intelligence Stratum in 6G Networks

Autorzy: Chatzieleftheriou, Livia Elena; Gramaglia, Marco; Camelo, Miguel; Garcia-Saavedra, Andres; Kosmatos, Evangelos; Gucciardo, Michele; Soto, Paola; Iosifidis, George; Fuentes, Lidia; García-Aviles, Ginés; Lutu, Andra;; Baldoni, Gabriele; Fiore, Marco
Opublikowane w: 2023 Joint European Conference on Networks and Communications & 6G Summit (EuCNC/6G Summit), 2023, Strona(/y) 347-352, ISBN 979-8-3503-1102-0
Wydawca: Institute of Electrical and Electronics Engineers
DOI: 10.1109/eucnc/6gsummit58263.2023.10188297

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

Showcasing In-Switch Machine Learning Inference

Autorzy: Akem Aritside; Beyza Bütün; Michele Gucciardo; Marco Fiore
Opublikowane w: 2023 IEEE 9th International Conference on Network Softwarization (NetSoft), 2023, ISBN 979-8-3503-9980-6
Wydawca: Institute of Electrical and Electronics Engineers
DOI: 10.1109/netsoft57336.2023.10175464

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

Mean-Field Multi-Agent Contextual Bandit for Energy-Efficient Resource Allocation in vRANs

Autorzy: J. A. Ayala-Romero, L. Lo-Schiavo, A. Garcia-Saavedra, X. Costa-Perez
Opublikowane w: IEEE INFOCOM 2024, 2024
Wydawca: IEEE
DOI: 10.5281/zenodo.10686512

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

CloudRIC: Open Radio Access Network (O-RAN) Virtualization with Shared Heterogeneous Computing

Autorzy: L. Lo Schiavo, G. Garcia-Aviles, A. Garcia-Saavedra, M. Gramaglia, M. Fiore, A. Banchs, X. Costa-Perez
Opublikowane w: ACM MobiCom '24: Proceedings of the 30th Annual International Conference on Mobile Computing and Networking, 2024, Strona(/y) 558-572, ISBN 979-8-4007-0489-5
Wydawca: Association for Computing Machinery
DOI: 10.1145/3636534.3649381

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

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

YinYangRAN: Resource Multiplexing in GPU-Accelerated Virtualized RANs

Autorzy: Lo Schiavo, L., Ayala-Romero, J., Garcia-Saavedra, A., Fiore, M., & Costa-Perez, X.
Opublikowane w: IEEE INFOCOM 2024, 2024
Wydawca: IEEE
DOI: 10.5281/zenodo.10686545

Spotting Deep Neural Network Vulnerabilities in Mobile Traffic Forecasting with an Explainable AI Lens

Autorzy: Moghadas Gholian, Serly; Fiandrino, Claudio; Collet, Alan; Attanasio, Giulia; Fiore, Marco; Widmer, Joerg
Opublikowane w: IEEE INFOCOM 2023 - IEEE Conference on Computer Communications, 2023, ISBN 979-8-3503-3414-2
Wydawca: Institute of Electrical and Electronics Engineers
DOI: 10.1109/infocom53939.2023.10228989

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

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

OREO: O-RAN intElligence Orchestration of xApp-based network services

Autorzy: F. Mungari, C. Puligheddu, A. Garcia-Saavedra, C. F. Chiasserini
Opublikowane w: IEEE INFOCOM 2024, 2024
Wydawca: IEEE
DOI: 10.5281/zenodo.10686449

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

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A FaaS Approach for Long-Term Monitoring in Rehabilitation

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AutoML for Video Analytics with Edge Computing

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ORANUS: Latency-tailored Orchestration via Stochastic Network Calculus in 6G O-RAN

Autorzy: Adamuz-Hinojosa, Oscar; Zanzi, Lanfranco; Sciancalepore, Vincenzo; Garcia-Saavedra, Andres; Costa-Perez, Xavier
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LossLeaP: Learning to Predict for Intent-Based Networking

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

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Evaluation of iStar 2.0 models using Linear Programming

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DAEMON: A Network Intelligence Plane for 6G Networks

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Reservation of Virtualized Resources with Optimistic Online Learning

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

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Fast Detection of Cyberattacks on the Metaverse through User-plane Inference

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

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Jewel: Resource-Efficient Joint Packet and Flow Level Inference in Programmable Switches

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Category Theory Framework for Variability Models with Non-Functional Requirements

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

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Teoría de Categorías Aplicada a Variabilidad

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

Autorzy: Claudio Fiandrino; Giulia Attanasio; Marco Fiore; Joerg Widmer
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Realizing Flat Multi-Zone Multi-Controller Software-Defined Networks using Zenoh

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Flowrest: Practical Flow-Level Inference in Programmable Switches with Random Forests

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Experimental Evaluation of Power Consumption in Virtualized Base Stations

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Explainable and Transferable Loss Meta-Learning for Zero-Touch Anticipatory Network Management

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Lazy Lagrangians for Optimistic Learning With Budget Constraints

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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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Improving network delay predictions using GNNs

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

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

Autorzy: Cañete, Angel; Amor, Mercedes; Fuentes, Lidia
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Toward native explainable and robust AI in 6G networks: Current state, challenges and road ahead

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SLA Decomposition for Network Slicing: A Deep Neural Network Approach

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

Autorzy: Daniel-Jesus Munoz; Monica Pinto; Lidia Fuentes; Don Batory
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Digital Twins for Next-Generation Mobile Networks: Applications and Solutions

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AIRIC: Orchestration of Virtualized Radio Access Networks With Noisy Neighbours

Autorzy: Josep Xavier Salvat Lozano; Andres Garcia-Saavedra; Xi Li; Xavier Costa Perez
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Birkhoff's Decomposition Revisited: Sparse Scheduling for High-Speed Circuit Switches

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

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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

Autorzy: Esteban Municio; Gines Garcia-Aviles; Andres Garcia-Saavedra; Xavier Costa-Pérez
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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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Detecting Feature Influences to Quality Attributes in Large and Partially Measured Spaces using Smart Sampling and Dynamic Learning in Knowledge-Based Systems

Autorzy: Daniel-Jesus Munoz; Monica Pinto; Lidia Fuentes
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Risk-Aware Continuous Control with Neural Contextual Bandits

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

Autorzy: Jose-Miguel Horcas, Mónica Pinto, Lidia Fuentes
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Elastic FemtoCaching: Scale, Cache, and Route

Autorzy: Kwak, Jeongho; Paschos, Georgios; Iosifidis, George
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O-RAN: Disrupting the Virtualized RAN Ecosystem

Autorzy: Andres Garcia-Saavedra; Xavier Costa-Perez
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Quid pro Quo in Streaming Services: Algorithms for Cooperative Recommendations

Autorzy: Dimitra Tsigkari; George Iosifidis; Thrasyvoulos Spyropoulos
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HADES: An NFV solution for energy-efficient placement and resource allocation in heterogeneous infrastructures. Study dataset

Autorzy: Ángel Cañete, Mercedes Amor, Lidia Fuentes
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vrAIn: Deep Learning based Orchestration for Computing and Radio Resources in vRANs

Autorzy: Jose A. Ayala-Romero; Andres Garcia-Saavedra; Marco Gramaglia; Xavier Costa-Perez; Albert Banchs; Juan J. Alcaraz
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Orchestrating Energy-Efficient vRANs: Bayesian Learning and Experimental Results

Autorzy: Jose A. Ayala-Romero; Andres Garcia-Saavedra; Xavier Costa-Perez; George Iosifidis
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ATARI: A Graph Convolutional Neural Network Approach for Performance Prediction in Next-Generation WLANs.

Autorzy: Paola Soto; Miguel Camelo; Kevin Mets; Francesc Wilhelmi; David Góez; Luis Alejandro Fletscher; Natalia Gaviria; Peter Hellinckx; Juan Felipe Botero; Steven Latre
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Network Automation and Data Analytics in 3GPP 5G Systems

Autorzy: Garcia-Martin, Miguel Angel; Gramaglia, Marco; Serrano, Pablo
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Network Intelligence for NFV Scaling in Closed-Loop Architectures

Autorzy: Soto, Paola; Camelo, Miguel; De Vleeschauwer, Danny; De Bock, Yorick; Chang, Chia-Yu; Botero, Juan F.; Latré, Steven
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A Dataflow-Oriented Approach for Machine-Learning-Powered Internet of Things Applications

Autorzy: Baldoni, G.; Teixeira, R.;Guimarães, C.; Antunes M.; GomesD.; Corsaro A.
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Learning-Based Reservation of Virtualized Network Resources

Autorzy: Jean-Baptiste Monteil; George Iosifidis; Luiz A. DaSilva
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A General Approach for Traffic Classification in Wireless Networks using Deep Learning

Autorzy: Miguel Camelo; Paola Soto; Steven Latré
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A Methodology to Design Quantized Deep Neural Networks for Automatic Modulation Recognition

Autorzy: David Góez; Paola Soto; Steven Latré; Natalia Gaviria; Miguel Camelo
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Design and Validation of an Open Source Cloud Native Mobile Network

Autorzy: Apostolakis, Nikolaos; Gramaglia, Marco; Serrano, Pablo
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Supporting IoT applications deployment on edge-based infrastructures using multi-layer feature models

Autorzy: Cañete, Angel; Amor, Mercedes; Fuentes, Lidia
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AI-Empowered Management and Orchestration of Vehicular Systems in the Beyond 5G Era

Autorzy: Slamnik-Kriještorac, N., Camelo, M., Chang, C.-Y., Soto, P., Cominardi, L., De Vleeschauwer, D., Latré, S., & Marquez-Barja, J.
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Empirical analysis of the tool support for software product lines

Autorzy: José Miguel Horcas; Mónica Pinto; Lidia Fuentes
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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

Autorzy: Luis F. Abanto-Leon; Arash Asadi; Andres Garcia-Saavedra; Gek Hong Sim; Matthias Hollick
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ProDSPL: Proactive Self-Adaptation based on Dynamic Software Product Lines

Autorzy: Inmaculada Ayala; Alessandro V. Papadopoulos; Mercedes Amor; Lidia Fuentes
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Towards Sustainable and Trustworthy 6G: Challenges, Enablers, and Architectural Design

Autorzy: Ömer Bulakçı (ed.), Xi Li (ed.), Marco Gramaglia (ed.), Anastasius Gavras (ed.), Mikko Uusitalo (ed.), Patrik Rugeland (ed.), Mauro Boldi (ed.)
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Research Landscape – 6G Networks Research in Europe

Autorzy: Soumaya Cherkaoui
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A Deep RL Approach on Task Placement and Scaling of Edge Resources for Cellular Vehicle-to-Network Service Provisioning

Autorzy: Hsu, Cyril Shih-Huan; Martín-Pérez, Jorge; De Vleeschauwer, Danny; Kondepu, Koteswararao; Valcarenghi, Luca; Li, Xi; Papagianni, Chrysa
Opublikowane w: arXiv (submitted to IEEE Transactions on Services Computing), 2023
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Privacy-Preserving AI for Future Networks

Autorzy: Diego Perino, Kleomenis Katevas, Andra Lutu, Eduard Marin, Nicolas Kourtellis
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Designing the Network Intelligence Stratum for 6G Networks

Autorzy: Soto Arenas, P. A., Camelo, M., Garcia-Aviles, G., Municio, E., Gramaglia, M., Kosmatos, E., Slamnik-Kriještorac, N., De Vleeschauwer, D., Bazco-Nogueras, A., Fuentes, L., Ballesteros, J., Lutu, A., Cominardi, L., Paez, I., Alcalá-Marín, S., Chatzieleftheriou, L. E., Garcia-Saavedra, A., & Fiore, M.
Opublikowane w: 2024
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6G Technology Overview - One6G White Paper

Autorzy: Carlos Guimaraes, Luca Cominardi et al.
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DOI: 10.5281/zenodo.6630706

Guest Editorial: Network Applications Software for Vertical IoT Industry

Autorzy: Bessem Sayadi; Chia-Yu Chang; Christos Tranoris; Qi Wang; Abhimanyu Gosain; Akihiro Nakao; Yue Wang
Opublikowane w: IEEE Internet of Things Magazine, Numer 5(4), 2022, Strona(/y) 112 - 114, ISSN 2576-3180
Wydawca: Institute of Electrical and Electronics Engineers
DOI: 10.1109/miot.2022.10012471

European Vision for the 6G Network Ecosystem

Autorzy: Bernardos, C. J., & Uusitalo, M. A.
Opublikowane w: The 5G Infrastructure Association Whitepapers, 2021
Wydawca: The 5G Infrastructure Association
DOI: 10.5281/zenodo.5007671

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
Opublikowane w: Numer 26, 2021
Wydawca: 5GPPP Architecture Working Group
DOI: 10.5281/zenodo.5155657

5G PPP Architecture Working Group - The 6G Architecture Landscape - European perspective

Autorzy: Bahare, M. K., Gavras, A., Gramaglia, M., Cosmas, J., Li, X., Bulakci, Ö., Rahman, A., Kostopoulos, A., Mesodiakaki, A., Tsolkas, D., Ericson, M., Boldi, M., Uusitalo, M., Ghoraishi, M., & Rugeland, P.
Opublikowane w: 5G PPP Architecture Working Group White Papers, 2023
Wydawca: 5G PPP Architecture Working Group
DOI: 10.5281/zenodo.7313232

5G Public Private PartnershipTest, Measurement and KPIs Validation Working Group - Whitepaper Beyond 5G/6G KPIs and Target Values

Autorzy: Nielsen, L., Gavras, A., Dieudonne, M., Mesogiti, I., Roosipuu, P., Houatra, D., & Kosmatos, E.
Opublikowane w: 5G Public Private PartnershipTest, Measurement and KPIs Validation Working Group Whitepapers, 2022
Wydawca: 5G Public Private PartnershipTest, Measurement and KPIs Validation Working Group
DOI: 10.5281/zenodo.6577506

Towards Natively Intelligent Networks

Autorzy: Marco Gramaglia, Xi Li, Ginés García-Aviles
Opublikowane w: "Ömer Bulakçı (ed.), Xi Li (ed.), Marco Gramaglia (ed.), Anastasius Gavras (ed.), Mikko Uusitalo (ed.), Patrik Rugeland (ed.), Mauro Boldi (ed.) (2023), ""Towards Sustainable and Trustworthy 6G: Challenges, Enablers, and Architectural Design"", Boston-Delft: now publishers, http://dx.doi.org/10.1561/9781638282396", 2023, Strona(/y) Chapter 5 (pp. 159-232)
Wydawca: now publishers inc.
DOI: 10.1561/9781638282396.ch5

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