Web Customer Modeling for Automated Session Prioritization on High Traffic Sites. - Nicolás Poggi; Toni Moreno; Josep Lluis Berral; Ricard Gavaldà; Jordi Torres (User Modeling, 2007)

Adaptive distributed mechanism against flooding network attacks based on machine learning. - Josep Lluis Berral; Nicolás Poggi; Javier Alonso 001; Ricard Gavaldà; Jordi Torres; Manish Parashar (AISec, 2008)

Tailoring Resources: The Energy Efficient Consolidation Strategy Goes Beyond Virtualization. - Jordi Torres; David Carrera 001; Vicenç Beltran 001; Nicolás Poggi; Kevin Hogan; Josep Lluis Berral; Ricard Gavaldà; Eduard Ayguadé; Toni Moreno; Jordi Guitart (ICAC, 2008)

Self-adaptive utility-based web session management. - Nicolás Poggi; Toni Moreno; Josep Lluis Berral; Ricard Gavaldà; Jordi Torres (Comput. Networks, 2009)

Energy-Aware Scheduling in Virtualized Datacenters. - Iñigo Goiri; Ferran Julià; Ramon Nou; Josep Lluis Berral; Jordi Guitart; Jordi Torres (CLUSTER, 2010)

Adaptive on-line software aging prediction based on machine learning. - Javier Alonso 001; Jordi Torres; Josep Lluis Berral; Ricard Gavaldà (DSN, 2010)

Towards energy-aware scheduling in data centers using machine learning. - Josep Lluis Berral; Iñigo Goiri; Ramon Nou; Ferran Julià; Jordi Guitart; Ricard Gavaldà; Jordi Torres (e-Energy, 2010)

Multifaceted resource management for dealing with heterogeneous workloads in virtualized data centers. - Iñigo Goiri; Josep Oriol Fitó; Ferran Julià; Ramon Nou; Josep Lluis Berral; Jordi Guitart; Jordi Torres (GRID, 2010)

J2EE instrumentation for software aging root cause application component determination with AspectJ. - Javier Alonso 001; Jordi Torres; Josep Lluis Berral; Ricard Gavaldà (IPDPS Workshops, 2010)

Adaptive Scheduling on Power-Aware Managed Data-Centers Using Machine Learning. - Josep Lluis Berral; Ricard Gavaldà; Jordi Torres (GRID, 2011)

Energy-efficient and multifaceted resource management for profit-driven virtualized data centers. - Iñigo Goiri; Josep Lluis Berral; Josep Oriol Fitó; Ferran Julià; Ramon Nou; Jordi Guitart; Ricard Gavaldà; Jordi Torres (Future Gener. Comput. Syst., 2012)

Power-Aware Multi-data Center Management Using Machine Learning. - Josep Lluis Berral; Ricard Gavaldà; Jordi Torres (ICPP, 2013)

Empowering automatic data-center management with machine learning. - Josep Lluis Berral; Ricard Gavaldà; Jordi Torres (SAC, 2013)

Cross-stratum orchestration and flexgrid optical networks for data center federations. - Luis Velasco 001; Adria Asensio; Alberto Castro; Josep Lluis Berral; David Carrera 001; Víctor López 001; Juan P. Fernández Palacios (IEEE Netw., 2013)

Improved self-management of datacenter systems applying machine learning. - Josep Lluís Berral (2013)

Building Green Cloud Services at Low Cost. - Josep Lluis Berral; Iñigo Goiri; Thu D. Nguyen; Ricard Gavaldà; Jordi Torres; Ricardo Bianchini (ICDCS, 2014)

Elastic operations in federated datacenters for performance and cost optimization. - Luis Velasco 001; Adrian Asensio; Josep Lluis Berral; Edoardo Bonetto; Francesco Musumeci 001; Víctor López 001 (Comput. Commun., 2014)

From performance profiling to predictive analytics while evaluating hadoop cost-efficiency in ALOJA. - Nicolás Poggi; Josep Lluis Berral; David Carrera 001; Aaron Call; Fabrizio Gagliardi; Rob Reinauer; Nikola Vujic; Daron Green; José A. Blakeley (IEEE BigData, 2015)

ALOJA-ML: A Framework for Automating Characterization and Knowledge Discovery in Hadoop Deployments. - Josep Lluis Berral; Nicolás Poggi; David Carrera 001; Aaron Call; Rob Reinauer; Daron Green (KDD, 2015)

ALOJA: A Benchmarking and Predictive Platform for Big Data Performance Analysis. - Nicolás Poggi; Josep Lluis Berral; David Carrera 001 (WBDB, 2015)

ALOJA: A Framework for Benchmarking and Predictive Analytics in Big Data Deployments. - Josep Lluis Berral; Nicolás Poggi; David Carrera 001; Aaron Call; Rob Reinauer; Daron Green (CoRR, 2015)

The state of SQL-on-Hadoop in the cloud. - Nicolás Poggi; Josep Lluis Berral; Thomas Fenech; David Carrera 001; José A. Blakeley; Umar Farooq Minhas; Nikola Vujic (IEEE BigData, 2016)

Database Integrated Analytics Using R: Initial Experiences with SQL-Server + R. - Josep Lluis Berral; Nicolás Poggi (ICDM Workshops, 2016)

A quick view on current techniques and machine learning algorithms for big data analytics. - Josep Lluis Berral-Garcia (ICTON, 2016)

ALOJA: A Framework for Benchmarking and Predictive Analytics in Hadoop Deployments. - Josep Lluis Berral; Nicolás Poggi; David Carrera 001; Aaron Call; Rob Reinauer; Daron Green (IEEE Trans. Emerg. Top. Comput., 2017)

When and How to Apply Statistics, Machine Learning and Deep Learning Techniques. - Josep Lluis Berral-Garcia (ICTON, 2018)

A resilient and distributed near real-time traffic forecasting application for Fog computing environments. - Juan Luis Pérez; Alberto Gutierrez-Torre; Josep Lluis Berral; David Carrera 001 (Future Gener. Comput. Syst., 2018)

Automatic Generation of Workload Profiles Using Unsupervised Learning Pipelines. - David Buchaca Prats; Josep Lluis Berral; David Carrera 001 (IEEE Trans. Netw. Serv. Manag., 2018)

Benchmarking Elastic Cloud Big Data Services Under SLA Constraints. - Nicolás Poggi; Víctor Cuevas-Vicenttín; Josep Lluis Berral; Thomas Fenech; Gonzalo Gómez; Davide Brini; Alejandro Montero; David Carrera 001; Umar Farooq Minhas; José A. Blakeley; Donald Kossmann; Raghu Ramakrishnan 001; et al. (TPCTC, 2019)

Real-Time Data Center's Telemetry Reduction and Reconstruction Using Markov Chain Models. - Shuja-ur-Rehman Baig; Waheed Iqbal; Josep Lluis Berral; Abdelkarim Erradi; David Carrera 001 (IEEE Syst. J., 2019)

Adaptive Prediction Models for Data Center Resources Utilization Estimation. - Shuja Ur Rehman Baig; Waheed Iqbal; Josep Lluis Berral; Abdelkarim Erradi; David Carrera 001 (IEEE Trans. Netw. Serv. Manag., 2019)

Constant-Time Sliding Window Framework with Reduced Memory Footprint and Efficient Bulk Evictions. - Álvaro Villalba; Josep Lluis Berral; David Carrera 001 (IEEE Trans. Parallel Distributed Syst., 2019)

Proactive Container Auto-scaling for Cloud Native Machine Learning Services. - David Buchaca Prats; Josep Lluís Berral; Chen Wang 039; Alaa Youssef (CLOUD, 2020)

AI4DL: Mining Behaviors of Deep Learning Workloads for Resource Management. - Josep Lluís Berral; Chen Wang 039; Alaa Youssef (HotCloud, 2020)

Sequence-to-sequence models for workload interference. - David Buchaca Prats; Joan Marcual; Josep Lluís Berral; David Carrera 001 (CoRR, 2020)

Improving maritime traffic emission estimations on missing data with CRBMs. - Alberto Gutierrez-Torre; Josep Lluís Berral; David Buchaca Prats; Marc Guevara; Albert Soret; David Carrera 001 (Eng. Appl. Artif. Intell., 2020)

Adaptive sliding windows for improved estimation of data center resource utilization. - Shuja-ur-Rehman Baig; Waheed Iqbal; Josep Lluis Berral; David Carrera 001 (Future Gener. Comput. Syst., 2020)

A highly parameterizable framework for Conditional Restricted Boltzmann Machine based workloads accelerated with FPGAs and OpenCL. - Zoran Jaksic; Nicola Cadenelli; David Buchaca Prats; Jordà Polo; Josep Lluis Berral; David Carrera 001 (Future Gener. Comput. Syst., 2020)

Sequence-to-sequence models for workload interference prediction on batch processing datacenters. - David Buchaca Prats; Joan Marcual; Josep Lluis Berral; David Carrera 001 (Future Gener. Comput. Syst., 2020)

You Only Run Once: Spark Auto-Tuning From a Single Run. - David Buchaca Prats; Felipe Albuquerque Portella; Carlos H. A. Costa; Josep Lluis Berral (IEEE Trans. Netw. Serv. Manag., 2020)

Theta-Scan: Leveraging Behavior-Driven Forecasting for Vertical Auto-Scaling in Container Cloud. - Josep Lluis Berral; David Buchaca Prats; Claudia Herron; Chen Wang 039; Alaa Youssef (CLOUD, 2021)

Large-Scale Video Analytics Through Object-Level Consolidation. - Daniel Rivas-Barragan; Francesc Guim 001; Jordà Polo; Josep Lluís Berral; David Carrera 001 (SmartCity360°, 2021)

Towards Unsupervised Fine-Tuning for Edge Video Analytics. - Daniel Rivas-Barragan; Francesc Guim 001; Jordà Polo; Josep Lluis Berral; Pubudu Madhawa Silva; David Carrera 001 (CoRR, 2021)

Distributing Deep Learning Hyperparameter Tuning for 3D Medical Image Segmentation. - Josep Lluís Berral; Oriol Aranda; Juan Luis Domínguez; Jordi Torres (IPDPS Workshops, 2022)

Floki: a proactive data forwarding system for direct inter-function communication for serverless workflows. - Anna Maria Nestorov; Josep Lluís Berral; Claudia Misale; Chen Wang 039; David Carrera 001; Alaa Youssef (WOC@Middleware, 2022)

Towards automatic model specialization for edge video analytics. - Daniel Rivas-Barragan; Francesc Guim 001; Jordà Polo; Pubudu Madhawa Silva; Josep Lluís Berral; David Carrera 001 (Future Gener. Comput. Syst., 2022)

Automatic Distributed Deep Learning Using Resource-Constrained Edge Devices. - Alberto Gutierrez-Torre; Kiyana Bahadori; Shuja Ur Rehman Baig; Waheed Iqbal; Tullio Vardanega; Josep Lluís Berral; David Carrera 001 (IEEE Internet Things J., 2022)

TunaOil: A tuning algorithm strategy for reservoir simulation workloads. - Felipe Albuquerque Portella; David Buchaca Prats; José Roberto Pereira Rodrigues; Josep Lluís Berral (J. Comput. Sci., 2022)

Burst-Aware Predictive Autoscaling for Containerized Microservices. - Muhammad Abdullah 004; Waheed Iqbal; Josep Lluis Berral; Jorda Polo; David Carrera 001 (IEEE Trans. Serv. Comput., 2022)

MScheduler: Leveraging Spot Instances for High-Performance Reservoir Simulation in the Cloud. - Felipe Albuquerque Portella; Paulo J. B. Estrela; Renzo Q. Malini; Luan Teylo; Josep Lluís Berral; Lúcia M. A. Drummond (CloudCom, 2023)

VITAMIN-V: Virtual Environment and Tool-Boxing for Trustworthy Development of RISC-V Based Cloud Services. - Ramon Canal; Cristiano Pegoraro Chenet; Aggelos Arelakis; José-María Arnau; Josep Lluís Berral; Aaron Call; Stefano Di Carlo; Juan José Costa; Dimitris Gizopoulos; Vasileios Karakostas; Francesco Lubrano; Konstantinos Nikas; et al. (DSD, 2023)

Challenges and Opportunities for RISC-V Architectures Towards Genomics-Based Workloads. - Gonzalo Gomez-Sanchez; Aaron Call; Xavier Teruel; Lorena Alonso; Ignasi Moran; Miguel Angel Perez; David Torrents; Josep Lluís Berral (ISC Workshops, 2023)

Vitamin-V: Virtual Environment and Tool-boxing for Trustworthy Development of RISC-V based Cloud Services. - Aggelos Arelakis; José-María Arnau; Josep Lluis Berral; Aaron Call; Ramon Canal; Stefano Di Carlo; Juan José Costa; Dimitris Gizopoulos; Vasileios Karakostas; Francesco Lubrano; Konstantinos Nikas; Yiannis Nikolakopoulos; et al. (CoRR, 2023)

On the Relation Between Open Project-Based Learning in Undergraduate Computer Science Education and Contemporary Technological Trends. - Rubén Tous; Felix Freitag; Josep Lluis Berral (CSEDU (2), 2024)

SECURED for Health: Scaling Up Privacy to Enable the Integration of the European Health Data Space. - Francesco Regazzoni 001; Gergely Ács; Albert Zoltan Aszalos; Christos Avgerinos; Nikolaos Bakalos; Josep Lluis Berral; Joppe W. Bos; Marco Brohet; Andrés G. Castillo Sanz; Gareth T. Davies; Stefanos Florescu; Pierre-Elisée Flory; et al. (DATE, 2024)

HealthMesh: An Architectural Framework for Federated Healthcare Data Management. - Aniol Bisquert; Achraf Hmimou; Josep Lluis Berral; Alberto Gutierrez-Torre; Oscar Romero 001 (DOLAP, 2024)

Towards Pareto Optimal Throughput in Small Language Model Serving. - Pol G. Recasens; Yue Zhu; Chen Wang 039; Eun Kyung Lee; Olivier Tardieu; Alaa Youssef; Jordi Torres; Josep Lluis Berral (EuroMLSys@EuroSys, 2024)

Data-Connector: An Agent-Based Framework for Autonomous ML-Based Smart Management in Cloud-Edge Continuum. - Peini Liu; Joan Oliveras Torra; Marc Palacín; Jordi Guitart; Josep Lluis Berral; Ramon Nou (ICNP, 2024)

Dexter: A Performance-Cost Efficient Resource Allocation Manager for Serverless Data Analytics. - Anna Maria Nestorov; Diego Marrón; Alberto Gutierrez-Torre; Chen Wang 039; Claudia Misale; Alaa Youssef; David Carrera 001; Josep Lluís Berral (Middleware, 2024)

Time-Quality Tradeoff of MuseHash Query Processing Performance. - Maria Pegia; Ferran Agullo Lopez; Anastasia Moumtzidou; Alberto Gutierrez-Torre; Björn Þór Jónsson 001; Josep Lluis Berral-Garcia; Ilias Gialampoukidis; Stefanos Vrochidis; Ioannis Kompatsiaris (MMM (3), 2024)

Vitamin-V: Expanding Open-Source RISC-V Cloud Environments. - Ramon Canal; Stefano Di Carlo; Dimitris Gizopoulos; Alberto Scionti; Francesco Lubrano; Josep Lluis Berral; Aaron Call; Diego Marron; Konstantinos Nikas; Dionisios N. Pnevmatikatos; Daniel Raho; Alvise Rigo; et al. (CoRR, 2024)

Enabling an OpenStack-based cloud on top of RISC-V hardware. - Diego Marrón; Aaron Call; Josep Lluís Berral; Ramon Nou (CoRR, 2024)

FRIDA: Free-Rider Detection using Privacy Attacks. - Pol G. Recasens; Ádám Horváth; Alberto Gutierrez-Torre; Jordi Torres; Josep Lluis Berral; Balázs Pejó (CoRR, 2024)

Enhancing the output of time series forecasting algorithms for cloud resource provisioning. - Ferran Agullo; Alberto Gutierrez-Torre; Jordi Torres; Josep Lluís Berral (Future Gener. Comput. Syst., 2025)

Mind the Memory Gap: Unveiling GPU Bottlenecks in Large-Batch LLM Inference. - Pol G. Recasens; Ferran Agullo; Yue Zhu; Chen Wang 039; Eun Kyung Lee; Olivier Tardieu; Jordi Torres; Josep Lluís Berral (CoRR, 2025)

In-Context Bias Propagation in LLM-Based Tabular Data Generation. - Pol G. Recasens; Alberto Gutierrez; Jordi Torres; Josep Lluís Berral; Anisa Halimi; Kieran Fraser (CoRR, 2025)

Maximizing GPU Efficiency via Optimal Adapter Caching: An Analytical Approach for Multi-Tenant LLM Serving. - Ferran Agullo; Joan Oliveras; Chen Wang 039; Alberto Gutierrez-Torre; Olivier Tardieu; Alaa Youssef; Jordi Torres; Josep Lluís Berral (CoRR, 2025)