Josep Lluís Berral-García

Short Bio

Current occupation

  • Researcher and Associate Professor at the Department of Computer Architecture (DAC-UPC).
  • Associate Researcher at the Barcelona Supercomputing Center (BSC).


Universitat Politècnica de Catalunya
Carrer Jordi Girona 1-3,
Campus Nord UPC, C6-206
E-08034 Barcelona
email: josep.ll.berral @ upc.edu
Barcelona Supercomputing Center
Plaça Eusebi Güell 1-3,
BSC-REPSOL Building
E-08034 Barcelona
email: josep.berral @ bsc.es
Research

Research Publications
Futur UPC: research proileUPCommons PublicationsORCID: 0000-0003-3037-3580
DBLP: Berral:Josep_LluisGoogle Scholar: Josep Ll. BerralScopus ID: 23090036200
Current Research Projects
OptimAIse(Pending to Start in May).EU-HORIZON GA.XXXXXX2026 - 2029
SCALESTScalability for AI Leveraging Edge and Sustainable Technologies.AEI PID2024-160996OB-I002025 - 2028
INTEL LighthouseElastic Energy-oriented Edge Orchestration.Intel-UPC Lighthouse Grant2023 - 2026
CLOUDSTARSCloud Open Source Research Mobility Network.EU-HORIZON MSCA GA.1010862482023 - 2026
CLOUDSKINAdaptive virtualization for AI-enabled Cloud-edge Continuum.EU-HORIZON GA.1010926462023 - 2025
NEARDATAExtreme Near-Data Processing Platform.EU-HORIZON GA.1010926442023 - 2025
VITAMIN-VVirtual Environment and Tool-boxing for Trustworthy Development of RISC-V based Cloud Services.EU-HORIZON GA.1010930622023 - 2025
SECUREDScaling Up secure Processing, Anonymization and generation of Health Data.EU-HORIZON GA.1010957172023 - 2025
DALESTDistributed Analytics and Learning in Edge-to-Supercomputing Technologies.AEI PID2021-126248OB-I002023 - 2025
CROMAIComputational Resources Orchestration and Management for AI.AGAUR 2021-SGR-004782023 - 2025
INCISIVEA multimodal AI-based toolbox and an interoperable health imaging repository for the empowerment of imaging analysis related to the diagnosis, prediction and follow-up of cancer.EU-H2020 GA.9521792020 - 2024
CALLISTOCopernicus Artificial Intelligence Services and data fusion with other distributed data sources and processing at the edge to support DIAS and HPC infrastructures.EU-H2020 GA.1010041522021 - 2023
MEEPThe MareNostrum Experimental Exascale Platform.EU-H2020 GA.9460022020 - 2023
IBM-BSC JSA'Heterogeneous Cloud Computing Systems; Cognitive Cloud Ecosystem', Joint research agreement between IBM and BSC. SoW1-Cloud.BSC-IBM Agreement2019 - 2022
DM-CANCER'Data Mining on Carcinogen Data'. Partially financed by UPC and ICREA. Collaboration with the Life Sciences Department @ BSC.2016 - 2022
PATRONS@BSC'Emission Models and Patterns through Machine Learning Analytics'. Partially financed by Severo Ochoa Programme 2015-2019. Collaboration with Earth Sciences Department @ BSC..MICINN GA.SEV-2015-04932017 - 2022
FEM IoTAgrupament de Tecnologies Emergents IoT". EU Regional Development Funding FEDER-RIS3CAT.RIS3CAT GA.001-P-0016622020 - 2022
DBR-BigDataDatabricks, Benchmarking on Big Data Analytics..BSC-DBR Agreement2019 - 2021
Intel-AI'AI and Predictive Analytics in Data-Center Environments', awarded by the Intel Academic Education Mindshare Initiative for AI.Intel Corporation Award2019 - 2020
Hi-EST'Holistic Integration of Emerging Supercomputing Technologies'. European Research Council, DataCentric Computing Group @ BSC.ERC-StG GA.6395952015 - 2020
CAP-VIIComputación de Altas Prestaciones VII.TIN2015-65316-P, jan/16-dec/192016 - 2019
CISCO LighthouseCisco-Lighthouse, Fog Computing on Smart-Cites.BSC-Cisco Agreement2015 - 2017
ALOJAHadoop Benchmark Repository and Performance Analysis Tools.BSC-Microsoft Agreement2014 - 2017
CAP-VIComputación de Altas Prestaciones VI.TIN2012-34557, jan/13-dec/152013 - 2015
BASMATIBiological and Social Mining: Algorithms, Theory, and Implementation.TIN2011-27479-C04-03, jan/12-dec/142012 - 2014
PARASOLRutgers Green microDatacenter.Rutgers Univ. jan/12-jul/122012
SESAAME-BCNSymbolic Sequences: Analysis, Learning, Mining, and Evolution.TIN2008-06582-C03, jan/09-dec/112009 - 2011
MOISES-BCNIndividualized Modeling of Symbolic Sequences.TIN2005-08832-C03-01, jan/06-dec/082006 - 2008
Academia

Current Subjects at UPC

Facultat d'Informàtica de Barcelona
MDS/MIRI Innovation Interdisciplinary Project (I2P)
GIA High-Performance Computing (CAP), Parallel and Distributed Systems (PSD)
GEI Data-Centers (CPD)
Escola Tècnica Superior de Telecomunicacions de Barcelona
GRETST Fundamentals of Computers (FO)
Current Students
David Aguilera LuzónPh.D. Student (DAC-UPC)Started September 2025
Joan Oliveras TorraPh.D. Student (DAC-UPC), co-directed with Peini LiuStarted October 2024
Pol García RecasensPh.D. Student (DAC-UPC), co-directed with Jordi TorresStarted October 2023
Ferran Agulló LópezPh.D. Student (DAC-UPC), co-directed with Jordi TorresStarted September 2022
Marc Romera PeralB.Sc. Student (FIB-UPC)Started January 2026
Carlos Martinez LopezM.Sc. Student (FIB-UPC)Started September 2025
Marc González VidalM.Sc. Student (FIB-UPC)Started May 2025

Ph.D. Students
Gonzalo Gómez SánchezExploring genomic datasets through machine learning methods leveraging high-performance computing
Doctoral Programme on Computer Architecture DAC - UPC. Co-directed w. David Carrera. Awarded Excellent Cum Laude. LINK
July 2024
Felipe Albuquerque PortellaA paradigm shift of HPC for geosciences: a novel HPC service model for geosciences applications
Doctoral Programme on Computer Architecture DAC - UPC. Co-directed w. David Carrera. Awarded Excellent. LINK
June 2024
Anna Maria NestorovOptimizing serverless architectures for data-intensive analytics workloads
Doctoral Programme on Computer Architecture DAC - UPC. Co-directed w. David Carrera. Awarded Excellent. LINK
May 2024
Alberto Gutiérrez TorreDistributed cloud-edge analytics and machine learning for transportation emissions estimation
Doctoral Programme on Computer Architecture DAC - UPC. Co-directed w. David Carrera. Awarded Excellent Cum Laude. LINK
November 2022
David Buchaca PratLearning workload behaviour models from monitored time-series for resource estimation towards data center optimization
Doctoral Programme on Computer Architecture DAC - UPC. Co-directed w. David Carrera. Awarded Excellent Cum Laude. LINK
January 2021
Shuja-ur-Rehman BaigData Center's Telemetry Reduction and Prediction through Modelling Techniques
Doctoral Programme on Computer Architecture DAC - UPC. Co-directed w. David Carrera. Awarded Excellent. LINK
December 2019
M.Sc. Students
Joan Oliveras TorraModeling and Predicting Quality of Service for Application Migrations in the Cloud-Edge Continuum
Master in Data Sciences, FIB - UPC. Co-directed with Peini Liu. LINK
October 2024
Omar López RúbioSecured and conditioned generation of synthetic mammograms
Master in Data Sciences, FIB - UPC. Co-directed with Alberto Gutiérrez. LINK
October 2024
Marçal Garcia BorisPredictive Maintenance and Hardware Anomaly Detection in Urban IoT Devices
Master in Data Sciences, FIB - UPC. LINK
June 2024
Mateusz GalinskiUsing ML-based Telemetry Forecasting for Smart Scalability on Serverless Environments
Master in Data Sciences, FIB - UPC. Co-directed with Aaron Call. LINK
June 2024
Ferran Agulló LópezTime series forecasting of application resource usage applying deep learning methods
Master in Artificial Intelligence, FIB - UPC. Co-directed w. Alberto Gutiérrez. LINK
June 2022
Adrià Marcoval MartínezInfraestructura como código. Despliegue automatizado de clústers basados en Kubernetes on-premise
Master Informatics Engineering, FIB - UPC. Co-directed w. Jordà Polo. LINK
June 2021
Marc Ortega AguascaIdentificación y reconstrucción de trazas con datos de cámaras cenitales
Master in Data Science, URL - LaSalle.
July 2020
Lev DenisovPlatform for Analysis and Forecasting of Exhaust Emissions of Marine Traffic
Master Erasmus Mundus in Big Data Management and Analytics, FIB - UPC. Co-directed w. Alberto Gutiérrez.
August 2019
Gonzalo Gómez SánchezUnsupervised Clustering for Mining Patterns in Genomic Dataset
Master in Artificial Intelligence, FIB - UPC. Co-directed w. David Carrera. LINK
April 2018
Katsiaryna KrasnashchokMining Patterns in Genomic Datasets Containing Chained Chromosomal Rearrangements
Master Erasmus Mundus in IT4BigData. Top 2nd Best Thesis Award, FIB - UPC.
September 2017
Alberto Gutiérrez TorreDiscovering Ship Navigation Patterns towards Environmental Impact Modeling
Master in Innovationand Research in Informatics, FIB - UPC. Co-directed w. David Carrera. LINK
May 2017
B.Sc. Students
Max Marín BarandaOptimització d'una sincronització de dades en temps real sota els límits restringits per l'API (Machine Learning)
Bachelor Degree on Informatics, FIB - UPC. LINK
October 2025
Pablo Franco CarrascoMigració i Renovació d'un Sistema d'Autenticació: Transició d'Okta a Microsoft Entra ID
Bachelor Degree on Informatics, FIB - UPC. LINK
July 2025
Lola Constantin StefanDesign of a virtualized cluster for HPC towards AI teaching
Bachelor Degree on Informatics, FIB - UPC. LINK
July 2025
Pol Rion SoléMachine Learning alternatives for approaching Genome-Wide problems
Bachelor Degree on Artificial Intelligence, FIB - UPC. Co-directed with Lorena Alonso. LINK
January 2025
Roger Viles LeandroDiseño e Implementación de una Herramienta de Validación Funcional y Benchmarking para Validar la Implementación de un Subset de Instrucciones de la Extensión Vectorial RVV 1.0 de la ISA de RISC-V
Bachelor Degree in Electronics, ETSETB - UPC. Co-directed with Aaron Call.
November 2024
Alex Martín TresánchezIncorporació de Seguretat al Cicle de Desenvolupament de Sistemes
Bachelor Degree in Informatics, FIB - UPC. LINK
May 2024
Hamza BoulaichDisaster Recovery on Openshift Clusters
Bachelor Degree in Informatics, FIB - UPC. LINK
January 2023
Josep Hilari Gómez ViladotSistema recomanador de reparacions d'autobusos
Bachelor Degree on Informatics, FIB - UPC. LINK
April 2022
Óscar Ruíz GallardoRenovació del software de virtualització de servidors en una empresa
Bachelor Degree on Informatics, FIB - UPC. LINK
January 2022
Claudia Herrón MuletVertical Autoscaling in Container Resource Provisioning with Reinforcement Learning
Bachelor Degree on Mathematics Engineering and Data Science, UPF.
July 2021
Engineering Students
Alberto Gutiérrez TorreLearning user behaviours from website visit profiling
Engineering Degree in Informatics (pre-EHEA 5 year degree), FIB - UPC. Co-directed w. Ricard Gavaldà. LINK
June 2014
Jordi Roldán LlinàsSimulation and modeling of Cloud environments for experimentation with machine learning
Engineering Degree in Informatics (pre-EHEA 5 year degree), FIB - UPC. Co-directed w. Ricard Gavaldà. LINK
June 2010

Plus 13 groupal Master theses from the Master BDMA (editions 2017, 2018, 2019, 2022, 2023, 2024, 2025).


Guest and Mentoring
Marco Ronchetti, as M.Sc. Student in Data Sciences from University of Milano, IT.2025
Francisco Javier Jurado, as M.Sc. Student from FIB-UPC, ES.2020
Carlos Mougan, as M.Sc. Student from UAB, ES.2019
Kiyana Bahadori, as Ph.D. candidate visitor from University of Padova, IT.2018-2019
Joan Marcual, as M.Sc. Student, finished his M.Sc. at GeorgiaTech, USA.2017-2018
Publications


(JCR-Q1: 18, JCR-Q2: 8)
26.Pol G. Recasens, Ádám Horváth, Alberto Gutierrez-Torre, Jordi Torres, Josep Ll. Berral, Balázs Pejó. “FRIDA: Free-Rider Detection using Privacy Attacks”. Journal of Information Security and Applications, Volume 97, 2026, 104357, ISSN 2214-2126. DOI LINKJCR-Q2
3,7*
2025
25.Ferran Agulló, Alberto Gutiérrez-Torre, Jordi Torres, Josep Ll. Berral. “Enhancing the output of time series forecasting algorithms for cloud resource provisioning”. Future Generation Computer Systems, 2025, art.107833, ISSN 0167-739X, S0167-739X(25)00128-1. Open Access. DOI LINKJCR-Q1
7,5*
2025
24.Ioannis Tzortzis, Alberto Gutierrez-Torre, Stavros Sykiotis, Ferran Agulló, Nikolaos Bakalos, Anastasios Doulamis, Nikolaos Doulamis, Josep Lluis Berral. “Towards generalizable Federated Learning in Medical Imaging: A real-world case study on mammography data”. Computational and Structural Biotechnology Journal. Elsevier, 2001-0370, 2025/03/24. DOI LINKJCR-Q1
4,5*
2025
23.Gonzalo Gómez-Sánchez, Lorena Alonso, Miguel Ángel Pérez, Ignasi Morán, David Torrents and Josep Ll. Berral. “Exhaustive Variant Interaction Analysis Using Multifactor Dimensionality Reduction”. Applied Sciences. 2024; 14(12): 5136. ISSN 2076-3417. Special Issue Advances in Bioinformatics and Biomedical Engineering. DOIJCR-Q2
2,7*
2024
22.Felipe Portella, David Buchaca, José Roberto Rodrigues, Josep Ll. Berral. “TunaOil: A tuning algorithm strategy for reservoir simulation workloads”. Journal of Computational Science, Vol.63, n.101811/2022. ISSN 1877-7503. DOI LINK arXivJCR-Q2
3,3
2022
21.Lazic I, Agullo F, Ausso S, Alves B, Barelle C, Berral JL, Bizopoulos P, Bunduc O, Chouvarda I, Dominguez D, Filos D, Gutierrez-Torre A, Hesso I, Jakovljević N, Kayyali R, Kogut-Czarkowska M, Kosvyra A, Lalas A, Lavdaniti M, Loncar-Turukalo T, Martinez-Alabart S, Michas N, Nabhani-Gebara S, Raptopoulos A, Roussakis Y, Stalika E, Symvoulidis C, Tsave O, Votis K, Charalambous A. “The Holistic Perspective of the INCISIVE Project — Artificial Intelligence in Screening Mammography”. Applied Sciences. 2022; 12(17): 8755. ISSN 2076-3417. Open Access. DOI LINKJCR-Q2
2,7
2022
20.Daniel Rivas, Francesc Guim, Jordà Polo, Pubudu M. Silva, Josep Ll. Berral, David Carrera. “Towards automatic model specialization for edge video analytics”. Future Generation Computer Systems, Vol.134, pp.399-413 (2022). ISSN 0167-739X. Open Access. DOI LINK arXivJCR-Q1
7,5
2022
19.Gonzalo Gómez-Sánchez, Luisa Delgado-Serrano, David Carrera, David Torrents, Josep Ll. Berral. “Clustering and graph mining techniques for classification of complex structural variations in cancer genomes”. Scientific Reports, vol.12, Article number 3244, Springer Nature (2022). ISSN 2045-2322. Open Access. DOI LINKJCR-Q2
4,6
2022
18.Alberto Gutierrez-Torre, Kiyana Bahadori, Shuja-ur-Rehman Baig, Waheed Iqbal, Tullio Vardanega, Josep Lluís Berral, David Carrera. “Automatic Distributed Deep Learning Using Resource-constrained Edge Devices”. IEEE Internet of Things Journal, vol.9 issue.16 pp.15018-15029 (2022). ISSN 2327-4662. DOI LINKJCR-Q1
10,6
2022
17.Muhammad Abdullah, Waheed Iqbal, Josep Ll. Berral, Jordà Polo, David Carrera. “Burst-Aware Predictive Autoscaling for Containerized Microservices”. IEEE Transactions on Services Computing. vol.15 issue.3 pp.1448-1460 (2022) ISSN 1939-1374. DOI LINKJCR-Q1
8,1
2022
16.David Buchaca, Felipe Portella, Carlos Costa, Josep Lluis Berral. “You Only Run Once: Spark Auto-tuning from a Single Run”. IEEE Transactions on Network and Service Management, vol.17 issue.4 pp.2039-2051 (2020). ISSN 1932-4537. DOI LINKJCR-Q2
4,195
2020
15.Alberto Gutierrez-Torre, Josep Ll. Berral, David Buchaca, Mar Guevara, Albert Soret, David Carrera. “Improving Maritime Traffic Emission Estimations on Missing Data with CRBMs”. Elsevier Engineering Applications of Artificial Intelligence.94, n.103793/2020 ISSN 0952-1976. DOI LINK arXivJCR-Q1
6,212
2020
14.David Buchaca, Joan Marcual, Josep Lluis Berral-García, David Carrera. “Sequence-to-sequence models for workload interference prediction on batch processing datacenters”. Elsevier Future Generation Computer Systems.110, pp.155-166/2020 ISSN 0167-739X. DOI LINK arXivJCR-Q1
7,187
2020
13.Shuja-ur-Rehman Baig, Waheed Iqbal, Josep Lluis Berral-García, David Carrera. “Adaptive Sliding Windows for Improved Estimation of Data Center Resource Utilization”. Elsevier Future Generation Computer Systems.104, pp.212-224/2020 ISSN 0167-739X. Open Access. DOI LINKJCR-Q1
7,187
2020
12.Zoran Jaksic, Nicola Cadenelli, David Buchaca Prats, Jordà Polo, Josep Lluis Berral-García, David Carrera. “A Highly Parametrizable Framework for Conditional Restricted Boltzmann Machine Based Workloads Accelerated With FPGAs and OpenCL”. Elsevier Future Generation Computer Systems.104, pp.201-211/2020 ISSN 0167-739X. Open Access. DOI LINKJCR-Q1
7,187
2020
11.Shuja-ur-Rehman Baig, Waheed Iqbal, Josep Lluís Berral, Abdelkarim Erradi, David Carrera. “Adaptive Prediction Models for Data Center Resource Utilization Estimation”. IEEE Transactions on Network and Service Management, vol.16 issue.4 pp.1681-1693 (2019). ISSN 1932-4537. Open Access. DOI LINKJCR-Q1
3,878
2019
10.Shuja-ur-Rehman Baig, Waheed Iqbal, Josep Lluís Berral, Abdelkarim Erradi, David Carrera. “Real-time Data Center’s Telemetry Reduction and Reconstruction Using Markov Chain Models”. IEEE Systems Journal, vol.13 issue.4 pp.4039-4050 (2019). ISSN 1932-8184. Open Access. DOI LINKJCR-Q1
3,987
2019
9.Álvaro Villalba, Josep Ll. Berral, David Carrera. “Constant-Time Sliding Window Framework with Reduced Memory Footprint and Efficient Bulk Evictions”. IEEE Transactions on Parallel and Distributed Systems, vol.30 issue.3 pp.486-500 (2019). ISSN 1045-9219. Open Access. DOI LINKJCR-Q2
3,402
2019
8.Juan Luis Perez, Alberto Gutierrez-Torre, Josep Ll. Berral, David Carrera. “A Resilient and Distributed Near Real-Time Traffic Forecasting Application for Fog Computing Environments”. Elsevier Future Generation Computer Systems.87, pp.198-212/2018 ISSN 0167-739X. Open Access. DOI LINKJCR-Q1
5,768
2018
7.David Buchaca, Josep Ll. Berral, David Carrera. “Automatic Generation of Workload Profiles using Unsupervised Learning Pipelines”. IEEE Transactions on Network and Service Management, vol.15 issue.1 pp.142-155 (2018). ISSN 1932-4537. Open Access. DOI LINKJCR-Q1
4,682
2018
6.Josep Ll. Berral, Nicolas Poggi, David Carrera, Aaron Call, Rob Reinauer, Daron Green. “ALOJA: A Framework for Benchmarking and Predictive Analytics in Big Data Deployments”. IEEE Transactions on Emerging Topics in Computing vol.5 issue.4 pp.480-493 (2017). ISSN 2168-6750. DOI LINK arXivJCR-Q1
3,626
2017
5.Luis Velasco, Adrian Asensio, Josep Ll. Berral, Alberto Castro, Victor López. “Towards a carrier SDN: an example for elastic inter-datacenter connectivity”. Optics Express. 22-1, pp. 55-61. 01/2014. ISSN 1094-4087. DOI LINKJCR-Q1
1,695
2014
4.Luis Velasco, Adrian Asensio, Josep Lluis Berral, Edoardo Bonetto, Francesco Musumeci, Víctor López. “Elastic operations in federated datacenters for performance and cost optimization”. Elsevier Computer Communications 50: 142-151 (2014). ISSN 0140-3664. DOIJCR-Q1
3,488
2014
3.Luis Velasco, Adrian Asensio, Alberto Castro, Josep Lluis Berral, David Carrera, Víctor López, Juan P. Fernández Palacios. “Cross-stratum orchestration and flexgrid optical networks for data center federations”. IEEE Network 27(6): 23-30 (2013). ISSN 0890-8044. DOI LINKJCR-Q1
3,720
2013
2.Iñigo Goiri, Josep Ll. Berral, J. Oriol Fitó, Ferran Julià, Ramon Nou, Jordi Guitart, Ricard Gavaldà, Jordi Torres. “Energy-efficient and multifaceted resource management for profit-driven virtualized data centers”. Elsevier Future Generation Computer Systems.5-28, pp.718-731.05/2012. ISSN 0167-739X. DOI LINKJCR-Q1
1,864
2012
1.Nicolas Poggi, Toni Moreno, Josep Lluis Berral, Ricard Gavaldà, Jordi Torres. “Self-Adaptive Utility-Based Web Session Management”. Elsevier Computer Networks.53-10, pp.1712-1721.07/2009. ISSN 1389-1286. DOIJCR-Q2
1,201
2009

(CORE-A*: 6, CORE-A: 15, CORE-B: 11, CORE-C: 2)
44.Josep Lluís Berral García, David Aguilera-Luzon, Peini Liu, Ramon Nou Castell, Maria Serrano, Angelos Antonopoulos, Javier Santaella, Mario José Divan. “Integrating Reliability into Intent-Driven Orchestration on Kubernetes-based Edge Nodes”. Proceedings of the IEEE ICNP'25 - The 3rd IEEE International Conference on Network Protocols, Workshop on Cloud-Edge Continuum CEC, 22nd September, 2025, Seoul, South Korea. DOI LINKCORE-A2025
43.Peini Liu, Joan Oliveras Torra, Marc Palacín, Michail Dalgitsis, Maria A. Serrano, Eftychia Datsika, Angelos Antonopoulos, Javier Santaella Sánchez, Jordi Guitart, Josep Ll. Berral, Ramon Nou. “Mobility Usecase: Intelligent Service Migration in Cloud-Edge Continuum”. Proceedings of the IEEE ICNP'25 - The 3rd IEEE International Conference on Network Protocols, Workshop on Cloud-Edge Continuum CEC, 22nd September, 2025, Seoul, South Korea. DOI LINKCORE-A2025
42.Pol Garcia, Ferran Agullo, Yue Zhu, Chen Wang, Eun Kyung Lee, Olivier Tardieu, Jordi Torres and Josep Lluis Berral. “Mind the Memory Gap: Unveiling GPU Bottlenecks in Large-Batch LLM Inference”. Proceedings of the 18th IEEE International Conference on Cloud Computing (CLOUD 2025), pp. 277-287, July 7-12, Helsinki, Finland, 2025. DOI LINK arXivCORE-B2025
41.Pol G. Recasens, Alberto Gutierrez-Torre, Jordi Torres, Josep Lluis Berral, Anisa Halimi, Kieran Fraser. “In-Context Bias Propagation in LLM-Based Tabular Data Generation”. Proceedings of the ICML 2025 Workshop - DIG-BUG 'Data in Generative Models - The Bad, the Ugly, and the Greats', Co-located with the International Conference on Machine Learning 2025. Vancouver, Canada, July 19th, 2025. DOI arXivCORE-A*2025
40.Marçal Garcia-Boris, Joan Oliveras, David Aguilera-Luzon, Peini Liu, Mario Divan-Koller, Josep Lluís Berral García. “A Reliability Score for Video-Analytics Edge-IoT Devices in Urban Environments”. Proceedings of the 7th International Workshop on Urban Computing (UrbCom), June 9 – 11, 2025 - Tuscany (Lucca) - Italy. Co-located with IEEE DCOSS 2025, 2025. DOI LINKCORE-B2025
39.Anna Maria Nestorov, Diego Marrón Vida, Alberto Gutiérrez Torre, Chen Wang, Claudia Misale, Alaa Youssef, David Carrera Pérez, Josep Lluís Berral García. “Dexter: a performance-cost efficient resource allocation manager for serverless data analytics”. Proceedings of the 25th ACM International Middleware Conference (Middleware'24), p.117-130, ISBN 979-8-4007-0623-3. 2nd-6th December, 2024, Hong Kong, Hong Kong. DOI LINKCORE-A2024
38.Peini Liu, Joan Oliveras, Marc Palacín, Jordi Guitart, Josep Ll. Berral, Ramon Nou. “Data-connector: An agent-based framework for autonomous ML-based smart management”. Proceedings of the 32nd IEEE International Conference on Network Protocols, 28th October 2024, Charleroi, Belgium. DOI LINKCORE-A2024
37.Rubén Tous Liesa, Fèlix Freitag, Josep Ll. Berral. “On the relation between open project-based learning in undergraduate computer science education and contemporary technological trends”. In Proceedings of the 16th International Conference on Computer Supported Education (CSEDU 2024) - Volume 2, pages 397-404, May, 2024. ISBN: 978-989-758-697-2; ISSN: 2184-5026. DOI LINKCORE-B2024
36.Pol G. Recasens, Yue Zhu, Chen Wang, Eun Kyung Lee, Olivier Tardieu, Alaa Youssef, Jordi Torres, Josep Ll. Berral. “Towards Pareto Optimal Throughput in Small Language Model Serving”. 4th Workshop on Machine Learning and Systems (EuroMLSys), co-located with EuroSys'24. Athens, Greece, 22dn April 2024. DOI LINK arXivCORE-A2024
35.Aniol Bisquert, Achraf Hmimou, Josep Ll. Berral, Alberto Gutiérrez-Torre, Oscar Romero. “HealthMesh: An Architectural Framework for Federated Healthcare Data Management”. 26th Intl. Workshop on Design, Optimization, Languages and Analytical Processing of Big Data (DOLAP 2024). Paestum, Italy - March 25th, 2024. ISSN 1613-0073. DOI LINKCORE-B2024
34.Francesco Regazzoni [et al.] (Josep Ll. Berral, pos.24/41). “SECURED for health: scaling up privacy to enable the integration of the european health data space”. Design, Automation and Test in Europe Conference and Exhibition (DATE 2024), March 25-27, 2024, Valencia, Spain. DOI LINKCORE-B2024
33.Pegia, Maria-Eirini; Agulló López, Ferran; Moumtzidou, Anastasia; Gutierrez-Torre, Alberto; Jónsson, Björn Þór; Berral-García, Josep Lluís; Gialampoukidis, Ilias; Vrochidis, Stefanos; Kompatsiaris, Ioannis. “Time-Quality Tradeoff of MuseHash Query Processing Performance”. MultiMedia Modelling: 30th International Conference on Multimedia Modeling (MMM 2024). Amsterdam, The Netherlands. January 29 - February 2, 2024. proceedings, Part III. (LNCS, vol.14556. pp.270-283.01/2024. ISBN 978-3-031-53310-5, 978-3-031-53311-2) DOI LINKCORE-B2024
32.Peini Liu, Anna Ma Nestorov, Marc Palacín, Ramon Nou, Jordi Guitart, Josep Ll Berral. “CloudSkin: ML-based Smart Management for the Cloud-Edge Continuum”. 3rd Workshop on Deep Learning for IoT (DL4IoT-2024). Munich, Germany, 19th January, 2024. DOI LINK2024
31.Pol G. Recasens, Jordi Torres, Josep Berral, Søren Hauberg, Pablo Moreno-Muñoz. “Beyond Parameter Averaging in Model Aggregation”. International Workshop on Federated Learning in the Age of Foundation Models in Conjunction with NeurIPS 2023, FL@FM-NeurIPS’23. 16th December, New Orleans, USA, 2023. DOI LINKCORE-A*2023
30.Felipe Portella, Paulo Estrela, Renzo Malini, Luan Teylo, Josep Berral, Lúcia Drummond. “MScheduler: Leveraging Spot Instances for High-Performance Reservoir Simulation in the Cloud”. 14th IEEE International Conference on Cloud Computing Technology and Science. Napoli, Italy, 4-6 December 2023. DOI LINK arXivCORE-C2023
29.Ramon Canal, Cristiano Chenet, Angelos Arelakis, José-Maria Arnau, Josep Ll. Berral, Aaron Call, Stefano Di Carlo, Juan José Costa, Dimitris Gizopoulos, Vasileios Karakostas, Francesco Lubrano, Konstantinos Nikas, Yiannis Nikolakopoulos, Beatriz Otero, George Papadimitriou, Ioannis Papaefstathiou, Dionisios Pnevmatikatos, Daniel Raho, Alvise Rigo, Eva Rodríguez, Alessandro Savino. “Vitamin-V: Virtual Environment and Tool-boxing for Trustworthy Development of RISC-V based Cloud Services”. 26th Euromicro Conference on Digital System Design (DSD). Durres, Albania, September 6-8, 2023. DOI LINK arXiv2023
28.Gonzalo Gómez, Aaron Call, Lorena Álvarez, David Torrents, Josep Ll. Berral. “Challenges and Opportunities for RISC-V Architectures towards Genomics-based Workloads”. Intl. Supercomputing Conference (ISC-HPC 2023) - First International workshop on RISC-V for HPC, Hamburg, Germany, May 21 - 25 2023. DOI LINK arXivCORE-C2023
27.Anna Maria Nestorov, Josep Lluís Berral, Claudia Missale, Chen Wang, David Carrera, Alaa Youssef. “Floki: A Proactive Data Forwarding System for Direct Inter-Function Communication for Serverless Workflows”. Intl. Workshop on Container Technologies and Container Clouds (WoC’22) - 22nd ACM/IFIP Intl. Conf. Middleware 2022, Quebec City, Canada, November 7 - 11 2022. DOI LINKCORE-A2022
26.Josep L. Berral, Oriol Aranda, Juan Luis Dominguez, Jordi Torres. “Distributing Deep Learning Hyperparameter Tuning for 3D Medical Image Segmentation”. Scalable Deep Learning Workshop (ScaDL 2022) - IEEE Intl. Parallel & Distributed Processing Symposium (IEEE IPDPS 2022), On-Line, May 30 - June 3 2022. DOI LINK arXivCORE-A2022
25.Daniel Rivas, Francesc Guim, Jordà Polo, Josep Ll. Berral, David Carrera. “Large-Scale Video Analytics Through Object-Level Consolidation”. EAI Edge-IoT 2021 - 2nd EAI International Conference on Intelligent Edge Processing in the IoT Era. November 24 – 26, 2021. Portugal. (LNICST, vol 442. p155-171/2022. ISBN 978-3-031-06370-1, Springer) DOI LINK arXiv2021
24.Josep L. Berral, David Buchaca, Claudia Herron, Chen Wang, Alaa Youssef. “Theta-Scan: Leveraging Behavior-Driven Forecasting for Vertical Auto-Scaling in Container Cloud”. IEEE Intl. Conference on Cloud Computing (IEEE Cloud 2021), On-Line, September 5-10 2021. DOI LINKCORE-B2021
23.David Buchaca, Josep L. Berral, Chen Wang, Alaa Youssef. “Proactive Container Auto-scaling for Cloud Native Machine Learning Services”. IEEE Intl. Conference on Cloud Computing (IEEE Cloud 2020), On-Line (Beijing, China), October 19-23 2020. DOI LINKCORE-B2020
22.Josep L. Berral, Chen Wang, Alaa Youssef. “AI4DL: Mining Behaviors of Deep Learning Workloads for Resource Management”. Workshop on Hot Topics on Cloud Computing (HotCloud'20), USENIX'2020, On-Line (Boston, MA, USA), July 13-14 2020. DOI arXivCORE-A2020
21.Nicolas Poggi, Victor Cuevas-Vicenttin, David Carrera, Josep Lluis Berral, Thomas Fenech, Gonzalo Gomez, Davide Brini, Alejandro Montero, Umar Farooq Minhas, Jose A. Blakeley, Donald Kossmann, Raghu Ramakrishnan and Clemens Szyperski. “Benchmarking Elastic Cloud Big Data Services Under SLA Constraints”. The Technology Conference on Performance Evaluation and Benchmarking (TPCTC 2019), Los Angeles, CA, USA, August 26-30 2019. (LNCS, vol.12257 pp.1-18/2020. ISBN 978-3-030-55023-3, Springer). DOI LINK2019
20.Josep Ll. Berral, Nicolas Poggi. “Database Integrated Analytics using R: Initial Experiences with SQL-Server + R”. The IEEE International Conference on Data Mining (IEEE ICDM 2016), Barcelona, Spain, December 12-15 2016. DOI LINKCORE-A*2016
19.Nicolas Poggi, Josep Ll. Berral, Thomas Fenech, David Carrera, Jose Blakeley, Umar Farooq Minhas, and Nikola Vujic. “The state of SQL-on-Hadoop in the Cloud”. The IEEE International Conference on Big Data (IEEE BigData 2016), Washington DC, USA, December 5-8 2016. DOI LINK2016
18.Nicolas Poggi, Josep Ll. Berral, David Carrera. “ALOJA: a Benchmarking and Predictive Platform for Big Data Performance Analysis”. The Sixth Workshop on Big Data Benchmarking (6th WBDB). June 16-17, 2015 in Toronto, Canada. (LNCS, vol.10044, pp.71-84.12/2016. ISBN 978-3-319-49747-1, Springer) DOI LINK2015
17.Nicolas Poggi, Josep Ll. Berral, David Carrera, Aaron Call, Rob Reinauer, Nikola Vujic, Daron Green, José Blakeley, Fabrizio Gagliardi. “From Performance Profiling to Predictive Analytics while Evaluating Hadoop Cost-Efficiency in ALOJA”. The IEEE International Conference on Big Data (IEEE BigData 2015), Santa Clara (CA), USA, Oct. 29-Nov. 1 2015. DOI2015
16.Josep Ll. Berral, Nicolas Poggi, David Carrera, Aaron Call, Rob Reinauer, Daron Green. “ALOJA-ML: A Framework for Automating Characterization and Knowledge Discovery in Hadoop Deployments”. The 21st ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2015), Sydney, Australia, August 10-13 2015. DOI LINK arXivCORE-A*2015
15.Josep Ll. Berral, Íñigo Goiri, Thu Nguyen, Ricard Gavaldà, Jordi Torres, Ricardo Bianchini. “Building Low-Cost Green DataCenters”. The International Conference on Distributed Computer Systems (ICDCS 2014). DOI LINKCORE-A2014
14.Josep Ll. Berral, Ricard Gavaldà, Jordi Torres. “Power-aware Multi-DataCenter Management using Machine Learning”. The 42rd International Conference on Parallel Processing - Workshop on Power-aware Algorithms, Systems, and Architectures (ICPP - PASA), 2013. DOI LINKCORE-A2013
13.Luis Velasco, Adrià Asensio, Josep Ll. Berral, Alberto Castro, Victor López “Towards a Carrier SDN: An example for Elastic Inter-Datacenter Connectivity”. European Conference on Optical Communication (ECOC), 2013. DOI LINK2013
12.Josep Ll. Berral, Ricard Gavaldà, Jordi Torres. “Empowering Automatic Data-Center Management with Machine Learning”. The 28th ACM Symposium on Applied Computing (SAC 2013) Data-Mining track, Coimbra, Portugal, March 18-22 2013. DOI LINKCORE-B2013
11.Josep Ll. Berral, Ricard Gavaldà, Jordi Torres. “Adaptive Scheduling on Power-Aware Managed Data-Centers using Machine Learning”. The IEEE International Conference on GRID Computing (GRID 2011), Lyon, France, September 22-23 2011. DOI LINKCORE-A2011
10.Iñigo Goiri, J. Oriol Fitó, Ferran Julià, Ramón Nou, Josep Ll. Berral, Jordi Guitart, and Jordi Torres. “Multifaceted Resource Management for Dealing with Heterogeneous Workloads in Virtualized Data Centers”. The 11th ACM/IEEE International Conference on Grid Computing (GRID 2010), Brussels, Belgium, October 25-29, 2010. DOI LINKCORE-A2010
9.Iñigo Goiri, Ferran Julià , Ramón Nou, Josep Ll. Berral, Jordi Guitart and Jordi Torres. “Energy-aware Scheduling in Virtualized Datacenters”. IEEE International Conference on Cluster Computing (CLUSTER 2010), Heraclion (Creta), Greece, September 20 - 24, 2010. DOI LINKCORE-A2010
8.Javier Alonso, Josep Ll. Berral, Ricard Gavaldà and Jordi Torres. “Adaptive on-line software aging prediction based on Machine Learning”. The 40th Annual IEEE/IFIP International Conference on Dependable Systems and Networks (DSN 2010), Chicago (IL), USA, June 28 - July 1, 2010. DOI LINKCORE-A2010
7.Javier Alonso, Josep Ll. Berral, Ricard Gavaldà, Jordi Torres. “J2EE Instrumentation for software aging root cause application component determination with AspectJ”. 15th IEEE Workshop on Dependable Parallel, Distributed and Network-Centric Systems (DPDNS 2010), Atlanta (GA), USA, April 19-23 2010. DOI LINKCORE-A2010
6.Josep Ll. Berral, Iñigo Goiri, Ramon Nou, Ferran Julià, Jordi Guitart, Ricard Gavaldà, Jordi Torres. “Towards energy-aware scheduling in data centers using machine learning”. 1st ACM/SIGCOM Intl. Conf. on Energy-Efficient Computing and Networking (eEnergy 2010), Passau, Germany, April 13-15 2010. DOI LINK2010
5.Josep Ll. Berral, Nicolas Poggi, Javier Alonso, Ricard Gavaldà, Jordi Torres, Manish Parashar. “Adaptive Distributed Mechanism Against Flooding Network Attacks Based on Machine Learning”. 1st ACM Workshop on Artificial Intelligence on Security (AISec 2008), Alexandria (VA), USA, October 27th 2008. DOI LINKCORE-A*2008
4.Jordi Torres, David Carrera, Vicenç Beltran, Nicolas Poggi, Josep Ll. Berral, Ricard Gavaldà, Eduard Ayguadé, Toni Moreno, Jordi Guitar “Tailoring resources: Energy efficient consolidation strategy goes beyond virtualization”. The International Conference on Autonomic Computing (ICAC 2008), Chicago (IL), USA, 2 to 6 of July, 2008. DOICORE-B2008
3.Nicolas Poggi, Josep Ll. Berral, Toni Moreno, Ricard Gavaldà, Jordi Torres “Automatic Detection and Banning of Content Stealing Bots for E-commerce”. Workshop on Machine Learning in Adversarial Environments for Computer Security, British Columbia, Canada, December the 8th, 2007, The Neural Information Processing Systems (NIPS 2007) Foundation (Proceedings of the NIPS Machine Learning in Adversarial Environments for Computer Security 2007).CORE-A*2007
2.Toni Moreno, Nicolas Poggi, Josep Ll. Berral, Ricard Gavaldà, Jordi Torres “Policy-based autonomous bidding for overload management in eCommerce websites”. Group Decision and Negotiation Meeting - GDN Section of INFORMS, Montreal, Canada, 14-1 of May, 2007, Group Decision and Negotiation, INFORMS (Proceedings of the Group Decision and Negotiation 2007, pages 162-166). LINK2007
1.Nicolas Poggi, Toni Moreno, Josep Ll. Berral, Ricard Gavaldà, Jordi Torres “Web Customer Modeling for Automated Session Prioritization on High Traffic Sites”. 11th International Conference on User Modeling (UM 2007), Corfu, Grece, 25-29 of June, 2007. User Modeling Inc. (LNCS, vol.4511 pp.450-454.06/2007. ISSN 0302-9743, Springer). DOICORE-B2007
2.Chen Wang, Josep Ll. Berral, Alaa Youssef. “Dynamic anomaly forecasting from execution logs”. References: EP21382339A, US20220335318A1, US patent. Filed: 23rd June 2021; Published: 20th October 2022. [LINK]2021
1.Juan Luis Perez, Alberto Gutierrez-Torre, Josep Ll. Berral, David Carrera. “Fog Computing Systems and Methods”. References: EP3785117A1; US2021117758A1; WO2019206436A1, EU patent. Filed: 26th April 2018; Published: 3rd March 2021. [LINK]2018
2.Josep Ll. Berral, Iñigo Goiri, Ramon Nou, Ferran Julià, Josep O. Fitó, Jordi Guitart, Ricard Gavaldà, Jordi Torres “Toward Energy-Aware Scheduling Using Machine Learning”. Energy-Efficient Distributed Computing Systems, Chapter 8. Editors: Albert Y. Zomaya, Young Choon Lee, July 2012. ISBN 9780470908754. DOI LINK2012
1.Josep Ll. Berral. “Self-Adaption and Learning on the Cloud: Since the Grid until Now.”. In: J. Torres, I. Goiri, M. Macias (Eds.), 'Execution Environments for Distributed Computation Issues', Chapter 5, Pages 117-135. Lulu.com publisher, 2008. ISBN: 978-1-4092-1787-9. DOI LINK2008
3.Josep Ll. Berral. “On the use of Data Analytics as principal workloads in supercomputing research centres”. DARLI-AP - 9th International workshop on Data Analytics solutions for Real-LIfe APplications - 25th - 28th March, 2025 - Barcelona, Spain. DOI2025
2.Josep Ll. Berral. “When and how to apply Statistics, Machine Learning and Deep Learning Techniques”. ICTON - Intl. Conf. Transparent Optical Networks. Bucarest, Romania, July 2nd, 2018. ISBN: 978-1-5386-6604-3. DOI LINK2018
1.Josep Ll. Berral. “A Quick View on Current Techniques and Machine Learning Algorithms for Big Data Analytics”. ICTON - Intl. Conf. Transparent Optical Networks. Trento, Italy, July 13th, 2016. ISBN: 978-1-5090-1467-5. DOI LINK2016
11.Felipe Portella, Josep Ll. Berral. “Tunaoil: a tuning algorithm strategy for reservoir simulation workloads”. BSC International Doctoral Symposium, 'Book of abstracts', p. 61-62, Barcelona, 2022. LINK2022
10.Alberto Gutiérrez, David Buchaca, Josep Ll. Berral. “Discovering ship navigation patterns towards environmental impact modeling”. BSC Severo Ochoa International Doctoral Symposium, 'Book of abstracts', p. 34-35, Barcelona, 2017. LINK2017
9.Luis Velasco, Adrià Asensio, Josep Ll. Berral, Eduardo Bonetto, F. Musumeci, Victor López. “Elastic Operations in Federated Datacenters for Performance and Cost Optimization”. Research Report number: UPC-DAC-RR-CBA-2013-2, May 2013. REP2013
8.Josep Ll. Berral, Ricard Gavaldà, Jordi Torres. “Modeling cloud resources using Machine Learning”. Research Report number: UPC-LSI-13-7-R, March 2013. LINK2013
7.Josep Ll. Berral, Ricard Gavaldà, Jordi Torres. “Empowering Automatic Data-Center Management with Machine Learning”. Extended version SAC 2013. Research Report number: UPC-LSI-13-1-R, January 2013. LINK2013
6.Josep Ll. Berral, Ricard Gavaldà, Jordi Torres. “Adaptive Scheduling on Power-Aware Managed Data-Centers using Machine Learning”. Extended Version GRID 2011. Research Report number: UPC-LSI-11-7-R, July 2011. LINK2011
5.Josep Ll. Berral, Ricard Gavaldà, Jordi Torres. “'Living In Barcelona' Li-BCN Workload 2010”. Research Report number: UPC-LSI-11-1-T, January 2011. LINK2011
4.Josep Ll. Berral, Ricard Gavaldà, Jordi Torres. “An Integer Linear Programming Representation for DataCenter Power-Aware Management”. Research Report number: UPC-LSI-10-21-R, November 2010. LINK2010
3.Ferran Julià, Jordi Roldan, Ramon Nou, Oriol Fitó, Alex Vaqué, Iñigo Goiri, Josep Ll. Berral. “EEFSim: Energy Efficency Simulator”. Research Report number: UPC-DAC-RR-CAP-2010-15, June 2010. REP2010
2.Josep Ll. Berral, Javier Alonso, Nicolas Poggi, Ricard Gavaldà, Manish Parashar, Jordi Torres. “Distributed Learning Mechanism Against Flooding Network Attacks”. XIX Jornadas de Paralelismo, Castelló, Spain, 17-19 of September, 2008. LINK2008
1.Nicolas Poggi, Toni Moreno, Josep Lluis Berral, Ricard Gavaldà, Jordi Torres. “Web customer modeling for automated session prioritization on high traffic sites”. Registered Version UM 2007. Research Report number UPC-DAC-RR-CAP-2006-23, November 2006. REP2006