Research

My research work focuses on data-analytics and applications of machine learning towards efficient computing, quality of service on web-services, and autonomic Cloud applications management. I have been working at the LARCA Research Group (Laboratori d'Algorísmica Relacional, Complexitat i Aprenentatge) at LSI-UPC, at the HPC-Autonomic (High Performance Computing Group) at DAC-UPC, at the Autonomic Business Systems Research Group also leader of the Data-Centric Computing Research Group at Barcelona Supercomputing Center (BSC). Currently managing the Computing Resources Orchestration and Management for/through AI Research Group at UPC + BSC.

Participation in Projects
Grants and Fellowships
Research Publications

Scholar Visits and Collaborations
Services and Commissions

Research Projects

INTEL Lighthouse	"Elastic Energy-oriented Edge Orchestration".	Intel-UPC Lighthouse Grant	PI	2024 - 2027
CLOUDSTARS	"Cloud Open Source Research Mobility Network".	EU-HORIZON MSCA GA.101086248	Sci.Advisor	2023 - 2026
CLOUDSKIN	"Adaptive virtualization for AI-enabled Cloud-edge Continuum".	EU-HORIZON GA.101092646	Sci.Advisor	2023 - 2025
NEARDATA	"Extreme Near-Data Processing Platform".	EU-HORIZON GA.101092644	Sci.Advisor	2023 - 2025
VITAMIN-V	"Virtual Environment and Tool-boxing for Trustworthy Development of RISC-V based Cloud Services".	EU-HORIZON GA.101093062	Sci.Advisor	2023 - 2025
SECURED	"Scaling Up secure Processing, Anonymization and generation of Health Data".	EU-HORIZON GA.101095717	Sci.Advisor	2023 - 2025
DALEST	"Distributed Analytics and Learning in Edge-to-Supercomputing Technologies".	MICINN PID-126248OB-I00	PI	2022 - 2025
CROMAI	"Computing Resources orchestration and Management for AI".	SGR-2021-00478	PI	2022 - 2025

Finished Projects

INCISIVE	"A 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.952179	Local PI	2020 - 2024
CALLISTO	"Copernicus 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.101004152	Local PI	2021 - 2023
MEEP	"The MareNostrum Experimental Exascale Platform"	EU-H2020 GA.946002		2020 - 2023
IBM-BSC JSA	"Heterogeneous Cloud Computing Systems; Cognitive Cloud Ecosystem", Joint research agreement between IBM and BSC. SoW1-Cloud.	BSC-IBM Agreement	SoW PI	2019 - 2022
DM-CANCER	"Data Mining on Carcinogen Data". Partially financed by UPC and ICREA. Collaboration with the Life Sciences Department @ BSC.		PI	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-2015-0493	PI	2017 - 2022
FEM IoT	"Agrupament de Tecnologies Emergents IoT". EU Regional Development Funding FEDER-RIS3CAT	RIS3CAT GA.001-P-001662	Local PI	2020 - 2022
DBR-BigData	Databricks, Benchmarking on Big Data Analytics.	BSC-DBR Agreement	PI	2019 - 2021
Hi-EST	"Holistic Integration of Emerging Supercomputing Technologies". European Research Council, DataCentric Computing Group @ BSC	ERC-StG GA.639595		2015 - 2020
CAP-VII	Computación de Altas Prestaciones VII	TIN2015-65316-P, jan/16-dec/19		2016 - 2019
CISCO Lighthouse	Cisco-Lighthouse, Fog Computing on Smart-Cites	BSC-Cisco Agreement		2015 - 2017
ALOJA	Hadoop Benchmark Repository and Performance Analysis Tools	BSC-Microsoft Agreement		2014 - 2017
CAP-VI	Computación de Altas Prestaciones VI	TIN2012-34557, jan/13-dec/15		2013 - 2015
BASMATI	Biological and Social Mining: Algorithms, Theory, and Implementation	TIN2011-27479-C04-03, jan/12-dec/14		2012 - 2014
PARASOL	Rutgers Green microDatacenter	Rutgers Univ. jan/12-jul/12		2012
SESAAME-BCN	Symbolic Sequences: Analysis, Learning, Mining, and Evolution	TIN2008-06582-C03, jan/09-dec/11		2009 - 2011
MOISES-BCN	Individualized Modeling of Symbolic Sequences	TIN2005-08832-C03-01, jan/06-dec/08		2006 - 2008

Grants, Fellowships and Accreditation

CERTIFICACIÓN I3 (Spanish Ministry of Universities) : National Plan of Scientific Research, 2022.
JOSE CASTILLEJO 2018 (Spanish Ministry of Education) : Mobility grant (USA 3 months), 2019.
JUAN DE LA CIERVA INCORPORACIÓN 2016 (Spanish Ministry of Economy) : Research Fellowship at BSC, 2018 - 2019.
EEBB-MICINN 2011 (Spanish Ministry of Science) : Mobility grant (USA 6 months), 2012.
FPI-MICINN 2008 (Spanish Ministry of Science) : Ph.D. studies, at LARCA-UPC research group, 2009 - 2013.
BEQUES UNIVERS 2004 – 2007 (UPC) : Facultat Informàtica de Barcelona (FIB).

Research Publications

ORCID: 0000-0003-3037-3580

DBLP: Berral:Josep_Lluis

Google Scholar: Josep Ll. Berral

Scopus ID: 23090036200

Journal Publications
(JCR-Q1: 16, JCR-Q2: 7)

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. DOI LINK	JCR-Q2 2,700*	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 arXiv	JCR-Q2 3,300	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 LINK	JCR-Q2 2,700	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 arXiv	JCR-Q1 7,500	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 LINK	JCR-Q2 4,600	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 LINK	JCR-Q1 10,600	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 LINK	JCR-Q1 8,100	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 LINK	JCR-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 arXiv	JCR-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 arXiv	JCR-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 LINK	JCR-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 LINK	JCR-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 LINK	JCR-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 LINK	JCR-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 LINK	JCR-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 LINK	JCR-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 LINK	JCR-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 arXiv	JCR-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 LINK	JCR-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. DOI	JCR-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 LINK	JCR-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 LINK	JCR-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. DOI	JCR-Q2 1,201	2009

Publications in International Conferences and Workshops
(CORE-A*: 5, CORE-A: 12, CORE-B: 7)

34.	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 arXiv	CORE-A	2024
33.	Aniol Bisquert, Achraf Hmimou, Josep Ll. Berral, Alberto Gutiérrez-Torre, Oscar Romero. “HealthMesh: An Architectural Framework for Federated Healthcare Data Management”. 26th International Workshop on Design, Optimization, Languages and Analytical Processing of Big Data (DOLAP 2024). Paestum, Italy - March 25th, 2024. LINK	CORE-B	2024
32.	Pol G. Recasens, Jordi Torres, Josep Berral, Søren Hauberg, Pablo Moreno-Muñoz. “Beyond Parameter Averaging in Model Aggregation”. NeurIPS 2024 - Workshop on Federated Learning. LINK	CORE-A*	2024
31.	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 LINK	CORE-B	2024
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	CORE-C	2023
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 arXiv		2023
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 arXiv	CORE-C	2023
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 LINK	CORE-A	2022
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 arXiv	CORE-A	2022
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 arXiv		2021
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 LINK	CORE-B	2021
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 LINK	CORE-B	2020
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 LINK	CORE-A	2020
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 LINK		2019
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 LINK	CORE-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 LINK		2016
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 LINK		2015
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. DOI		2015
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 arXiv	CORE-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 LINK	CORE-A	2014
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 LINK	CORE-A	2013
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 LINK		2013
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 LINK	CORE-B	2013
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 LINK	CORE-A	2011
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 LINK	CORE-A	2010
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 LINK	CORE-A	2010
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 LINK	CORE-A	2010
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 LINK	CORE-A	2010
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 LINK		2010
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 LINK	CORE-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. DOI	CORE-B	2008
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). [PDF]	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). REF [PDF]		2007
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). DOI [PDF]	CORE-B	2007

Patents and Inventions

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

Book Chapters

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 [PDF]

2012

Invited Talks and Tutorials

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 [LINK], PPT	2018
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 [LINK], PPT	2016

Technical Reports, Local Conferences and Extended Versions

12.	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. LINK REF	2024
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. LINK	2022
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. LINK	2017
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. LINK	2013
8.	Josep Ll. Berral, Ricard Gavaldà, Jordi Torres. “Modeling cloud resources using Machine Learning”. Research Report number: UPC-LSI-13-7-R, March 2013. LINK	2013
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. LINK	2013
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. LINK	2011
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. LINK	2011
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. LINK	2010
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. LINK	2010
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. REF [PDF]	2008
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. LINK	2006

Demos

J. Guitart, I. Goiri, F. Julià, M. Macías, D. Carrera, Y. Becerra, V. Beltran, J. Polo, D. de Nadal, U. Kiran, J.O. Fitó, G. Reig, R. Badia, J. Ejarque, E. Ayguadé, J. Alonso, J.Ll. Berral, R. Gavaldà, N. Poggi, and J. Torres. “EMOTIVE CLOUD: The BSC Engine for Cloud Solutions”. 6th IEEE International Conference on Autonomic Computing (ICAC). Barcelona, Spain, June 15-19, 2009.

2009

Teaching and Academic Publications

2.	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, 2024. ISBN: 978-989-758-697-2; ISSN: 2184-5026. DOI LINK	2024
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.	2008

Theses and Final Degree Project

Ph.D.	Josep Lluís Berral García. “Improved self-management of datacenter systems applying machine learning” (Ph.D. Thesis on Computer Sciences) November 22nd, 2013. LINK PPT	2013
M.Sc.	Josep Lluís Berral García. “Distributed Framework Against Flooding Attacks Based on Machine Learning” (M.Sc. Computer Architecture, Networks and Systems) July 8th, 2008.	2008
Eng.	Josep Lluís Berral García. “Sistema d'Admissió de Clients Autoadaptatiu en un entorn Web” (Final Degree on Informatics [5 year programme]) June 27th, 2007.	2007

Visits and Collaborations

Visiting Positions

IBM, T.J.Watson Research Labs. New York: Scholar Visit to IBM with Doctor Alaa Youssef, from September to November 2019.
Rutgers, State University of New Jersey: Scholar Visit to Rutgers with professor Ricardo Bianchini, from January to July 2012.

Services and Commissions

Institutional Responsibilities

Computer Architecture Department
→ Member of the Department Council and Committee. From July 2006 to July 2007.
Faculty of Informatics of Barcelona
→ Member of the Faculty Council, from July 2004 to July 2007.
→ Member of the Faculty Academic Committees, from July 2004 to July 2007.
→ Member of the Students Council (DAFIB), from June 2004 to July 2007; Secretary('06), President('07).
→ Member of the Committee of the Faculty Spring festival (FestaFIB), from June 2004 to July 2007; President('06-'07).
→ Member of the Faculty Student Magazine (Associació Cultural l'Oasi), from June 2005 to December 2013; Chief editor('08-'10).

Commissions of Trust

Reviewer in Journals
Elsevier	Future Generation Computing Systems	FGCS
	Journal in Parallel and Distributed Computing	JPDC
	Sustainable Computing	SUSCOM
IEEE	Networks Magazine	Network
	Systems Journal	SJ
	Transactions on Network and Service Management	TNSM
	Transactions on Networking	TNET
	Transactions on Emerging Topics on Computing	TETC
	Transactions on Parallel and Distributed Systems	TPDS
Reviewer in Conferences
	European Conference on Advances in Databases and Information Systems	ADBIS
IEEE	Intl. Conference on Big Data	BigData
IEEE/ACM	Intl. Symposium on Cluster, Cloud and Grid Computing	CCGRID
IEEE	Intl. Conference on Cloud Computing Technology and Science	CloudCom
	Intl. European Conference on Parallel and Distributed Computing	EuroPAR
IEEE	Intl. Conference on Autonomic Computing	ICAC

Organization of Scientific Conferences

Program Committee at ADBIS 2023, 2024 – "European Conference on Advances in Databases and Information Systems".
Program Committee at IEEE CloudCom 2022 – "International Conference on Cloud Computing Technology and Science".
Program Committee at IEEE ICDM-Workshops 2016 – "International Conference on Data Mining".
Volunteer at IJCAI 2011 – "International Joint Conference on Artificial Intelligence".
Volunteer at ECML-PKDD 2010 – "European Conference on Machine Learning - Principles and Practices on Knowledge Discovery".

Societies and Community

Member of IEEE, since mid-2017
Member of ACM & SIGKDD, since 2019
Member of the "Green-IT Conferences" community, from 2010 to 2013.

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Josep Lluís Berral-García

Researcher on Computer Science, Data Centers and Data Mining