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Josep Lluís Berral
Josep Lluis Berral – Josep Lluis Berral-Garcia
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2020 – today
- 2024
- [c35]Rubén Tous, Felix Freitag, Josep Lluis Berral:
On the Relation Between Open Project-Based Learning in Undergraduate Computer Science Education and Contemporary Technological Trends. CSEDU (2) 2024: 397-404 - [c34]Francesco Regazzoni, 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, Alberto Gutierrez-Torre, Evangelos Haleplidis, Alice Héliou, Sotirios Ioannidis, Alexander Islam El-Kady, Katarzyna Kapusta, Konstantina Karagianni, Pieter Kruizinga, Kyrian Maat, Zoltán Ádám Mann, Kalliopi Mastoraki, SeoJeong Moon, Maja Nisevic, Balázs Pejó, Kostas Papagiannopoulos, Vassilis Paliouras, Paolo Palmieri, Francesca Palumbo, Juan Carlos Pérez Baun, Péter Pollner, Eduard Porta-Pardo, Luca Pulina, Muhammad Ali Siddiqi, Daniela Spajic, Christos Strydis, Georgios Tasopoulos, Vincent Thouvenot, Christos Tselios, Apostolos P. Fournaris:
SECURED for Health: Scaling Up Privacy to Enable the Integration of the European Health Data Space. DATE 2024: 1-4 - [c33]Aniol Bisquert, Achraf Hmimou, Josep Lluis Berral, Alberto Gutierrez-Torre, Oscar Romero:
HealthMesh: An Architectural Framework for Federated Healthcare Data Management. DOLAP 2024: 45-54 - [c32]Pol G. Recasens
, Yue Zhu
Towards Pareto Optimal Throughput in Small Language Model Serving. EuroMLSys@EuroSys 2024: 144-152 - [c31]Anna Maria Nestorov
Dexter: A Performance-Cost Efficient Resource Allocation Manager for Serverless Data Analytics. Middleware 2024: 117-130 - [c30]Maria Pegia
Time-Quality Tradeoff of MuseHash Query Processing Performance. MMM (3) 2024: 270-283 - [i12]Pol G. Recasens, Yue Zhu, Chen Wang, Eun Kyung Lee, Olivier Tardieu, Alaa Youssef, Jordi Torres, Josep Lluís Berral:
Towards Pareto Optimal Throughput in Small Language Model Serving. CoRR abs/2404.03353 (2024) - [i11]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, Yannis Papaefstathiou, José-María Arnau, Angelos Arelakis:
Vitamin-V: Expanding Open-Source RISC-V Cloud Environments. CoRR abs/2407.00052 (2024) - [i10]Diego Marrón, Aaron Call, Josep Lluís Berral, Ramon Nou:
Enabling an OpenStack-based cloud on top of RISC-V hardware. CoRR abs/2407.12008 (2024) - 2023
- [c29]Felipe Albuquerque Portella, Paulo J. B. Estrela, Renzo Q. Malini, Luan Teylo, Josep Lluís Berral
MScheduler: Leveraging Spot Instances for High-Performance Reservoir Simulation in the Cloud. CloudCom 2023: 99-106 - [c28]Ramon Canal, Cristiano Pegoraro Chenet, Aggelos Arelakis, José-María Arnau, Josep Lluís Berral
VITAMIN-V: Virtual Environment and Tool-Boxing for Trustworthy Development of RISC-V Based Cloud Services. DSD 2023: 302-308 - [c27]Gonzalo Gomez-Sanchez, Aaron Call
Challenges and Opportunities for RISC-V Architectures Towards Genomics-Based Workloads. ISC Workshops 2023: 458-471 - [i9]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, Beatriz Otero, George Papadimitriou, Ioannis Papaefstathiou, Dionisios N. 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. CoRR abs/2305.10982 (2023) - [i8]Gonzalo Gomez-Sanchez, Aaron Call, Xavier Teruel, Lorena Alonso, Ignasi Moran, Miguel Angel Perez, David Torrents, Josep Lluís Berral:
Challenges and Opportunities for RISC-V Architectures towards Genomics-based Workloads. CoRR abs/2306.15562 (2023) - 2022
- [j19]Daniel Rivas-Barragan
Towards automatic model specialization for edge video analytics. Future Gener. Comput. Syst. 134: 399-413 (2022) - [j18]Alberto Gutierrez-Torre
Automatic Distributed Deep Learning Using Resource-Constrained Edge Devices. IEEE Internet Things J. 9(16): 15018-15029 (2022) - [j17]Felipe Albuquerque Portella, David Buchaca Prats, José Roberto Pereira Rodrigues
TunaOil: A tuning algorithm strategy for reservoir simulation workloads. J. Comput. Sci. 63: 101811 (2022) - [j16]Muhammad Abdullah
Burst-Aware Predictive Autoscaling for Containerized Microservices. IEEE Trans. Serv. Comput. 15(3): 1448-1460 (2022) - [c26]Josep Lluís Berral
Distributing Deep Learning Hyperparameter Tuning for 3D Medical Image Segmentation. IPDPS Workshops 2022: 1045-1052 - [c25]Anna Maria Nestorov, Josep Lluís Berral
Floki: a proactive data forwarding system for direct inter-function communication for serverless workflows. WOC@Middleware 2022: 13-18 - [i7]Felipe Albuquerque Portella, David Buchaca Prats, José Roberto Pereira Rodrigues, Josep Lluís Berral:
TunaOil: A Tuning Algorithm Strategy for Reservoir Simulation Workloads. CoRR abs/2208.02606 (2022) - 2021
- [c24]Josep Lluis Berral
Theta-Scan: Leveraging Behavior-Driven Forecasting for Vertical Auto-Scaling in Container Cloud. CLOUD 2021: 404-409 - [c23]Daniel Rivas-Barragan, Francesc Guim, Jordà Polo, Josep Lluís Berral
Large-Scale Video Analytics Through Object-Level Consolidation. SmartCity360° 2021: 155-171 - [i6]Daniel Rivas-Barragan, Francesc Guim, Jordà Polo, Josep Lluis Berral, Pubudu Madhawa Silva, David Carrera:
Towards Unsupervised Fine-Tuning for Edge Video Analytics. CoRR abs/2104.06826 (2021) - [i5]Josep Lluis Berral, Oriol Aranda, Juan Luis Domínguez, Jordi Torres:
Distributing Deep Learning Hyperparameter Tuning for 3D Medical Image Segmentation. CoRR abs/2110.15884 (2021) - 2020
- [j15]Alberto Gutierrez-Torre
Improving maritime traffic emission estimations on missing data with CRBMs. Eng. Appl. Artif. Intell. 94: 103793 (2020) - [j14]Zoran Jaksic
A highly parameterizable framework for Conditional Restricted Boltzmann Machine based workloads accelerated with FPGAs and OpenCL. Future Gener. Comput. Syst. 104: 201-211 (2020) - [j13]Shuja-ur-Rehman Baig
Adaptive sliding windows for improved estimation of data center resource utilization. Future Gener. Comput. Syst. 104: 212-224 (2020) - [j12]David Buchaca Prats
Sequence-to-sequence models for workload interference prediction on batch processing datacenters. Future Gener. Comput. Syst. 110: 155-166 (2020) - [j11]David Buchaca Prats
You Only Run Once: Spark Auto-Tuning From a Single Run. IEEE Trans. Netw. Serv. Manag. 17(4): 2039-2051 (2020) - [c22]David Buchaca Prats, Josep Lluís Berral
Proactive Container Auto-scaling for Cloud Native Machine Learning Services. CLOUD 2020: 475-479 - [c21]Josep Lluís Berral
AI4DL: Mining Behaviors of Deep Learning Workloads for Resource Management. HotCloud 2020 - [i4]David Buchaca Prats, Joan Marcual, Josep Lluís Berral, David Carrera:
Sequence-to-sequence models for workload interference. CoRR abs/2006.14429 (2020) - [i3]Alberto Gutierrez-Torre, Josep Lluis Berral, David Buchaca Prats, Marc Guevara, Albert Soret, David Carrera:
Improving Maritime Traffic Emission Estimations on Missing Data with CRBMs. CoRR abs/2009.03001 (2020)
2010 – 2019
- 2019
- [j10]Shuja-ur-Rehman Baig
Real-Time Data Center's Telemetry Reduction and Reconstruction Using Markov Chain Models. IEEE Syst. J. 13(4): 4039-4050 (2019) - [j9]Shuja Ur Rehman Baig
Adaptive Prediction Models for Data Center Resources Utilization Estimation. IEEE Trans. Netw. Serv. Manag. 16(4): 1681-1693 (2019) - [j8]Álvaro Villalba
Constant-Time Sliding Window Framework with Reduced Memory Footprint and Efficient Bulk Evictions. IEEE Trans. Parallel Distributed Syst. 30(3): 486-500 (2019) - [c20]Nicolás Poggi, Víctor Cuevas-Vicenttín
Benchmarking Elastic Cloud Big Data Services Under SLA Constraints. TPCTC 2019: 1-18 - 2018
- [j7]Juan Luis Pérez, Alberto Gutierrez-Torre
A resilient and distributed near real-time traffic forecasting application for Fog computing environments. Future Gener. Comput. Syst. 87: 198-212 (2018) - [j6]David Buchaca Prats
Automatic Generation of Workload Profiles Using Unsupervised Learning Pipelines. IEEE Trans. Netw. Serv. Manag. 15(1): 142-155 (2018) - [c19]Josep Lluis Berral-Garcia
When and How to Apply Statistics, Machine Learning and Deep Learning Techniques. ICTON 2018: 1-4 - 2017
- [j5]Josep Lluis Berral
ALOJA: A Framework for Benchmarking and Predictive Analytics in Hadoop Deployments. IEEE Trans. Emerg. Top. Comput. 5(4): 480-493 (2017) - 2016
- [c18]Nicolás Poggi
The state of SQL-on-Hadoop in the cloud. IEEE BigData 2016: 1432-1443 - [c17]Josep Lluis Berral
Database Integrated Analytics Using R: Initial Experiences with SQL-Server + R. ICDM Workshops 2016: 1-7 - [c16]Josep Lluis Berral-Garcia
A quick view on current techniques and machine learning algorithms for big data analytics. ICTON 2016: 1-4 - 2015
- [c15]Nicolás Poggi
From performance profiling to predictive analytics while evaluating hadoop cost-efficiency in ALOJA. IEEE BigData 2015: 1220-1229 - [c14]Josep Lluis Berral
ALOJA-ML: A Framework for Automating Characterization and Knowledge Discovery in Hadoop Deployments. KDD 2015: 1701-1710 - [c13]Nicolás Poggi, Josep Lluis Berral
ALOJA: A Benchmarking and Predictive Platform for Big Data Performance Analysis. WBDB 2015: 71-84 - [i2]Josep Lluis Berral, Nicolás Poggi, David Carrera, Aaron Call, Rob Reinauer, Daron Green:
ALOJA-ML: A Framework for Automating Characterization and Knowledge Discovery in Hadoop Deployments. CoRR abs/1511.02030 (2015) - [i1]Josep Lluis Berral, Nicolás Poggi, David Carrera, Aaron Call
ALOJA: A Framework for Benchmarking and Predictive Analytics in Big Data Deployments. CoRR abs/1511.02037 (2015) - 2014
- [j4]Luis Velasco, Adrian Asensio
Elastic operations in federated datacenters for performance and cost optimization. Comput. Commun. 50: 142-151 (2014) - [c12]Josep Lluis Berral
Building Green Cloud Services at Low Cost. ICDCS 2014: 449-460 - 2013
- [b1]Josep Lluís Berral:
Improved self-management of datacenter systems applying machine learning. Polytechnic University of Catalonia, Spain, 2013 - [j3]Luis Velasco, Adria Asensio
Cross-stratum orchestration and flexgrid optical networks for data center federations. IEEE Netw. 27(6): 23-30 (2013) - [c11]Josep Lluis Berral
Power-Aware Multi-data Center Management Using Machine Learning. ICPP 2013: 858-867 - [c10]Josep Lluis Berral
Empowering automatic data-center management with machine learning. SAC 2013: 170-172 - 2012
- [j2]Iñigo Goiri, Josep Lluis Berral
Energy-efficient and multifaceted resource management for profit-driven virtualized data centers. Future Gener. Comput. Syst. 28(5): 718-731 (2012) - 2011
- [c9]Josep Lluis Berral
Adaptive Scheduling on Power-Aware Managed Data-Centers Using Machine Learning. GRID 2011: 66-73 - 2010
- [c8]Iñigo Goiri, Ferran Julià, Ramon Nou
Energy-Aware Scheduling in Virtualized Datacenters. CLUSTER 2010: 58-67 - [c7]Javier Alonso, Jordi Torres
Adaptive on-line software aging prediction based on machine learning. DSN 2010: 507-516 - [c6]Josep Lluis Berral
Towards energy-aware scheduling in data centers using machine learning. e-Energy 2010: 215-224 - [c5]Iñigo Goiri, Josep Oriol Fitó, Ferran Julià, Ramon Nou
Multifaceted resource management for dealing with heterogeneous workloads in virtualized data centers. GRID 2010: 25-32 - [c4]Javier Alonso, Jordi Torres
J2EE instrumentation for software aging root cause application component determination with AspectJ. IPDPS Workshops 2010: 1-8
2000 – 2009
- 2009
- [j1]Nicolás Poggi
Self-adaptive utility-based web session management. Comput. Networks 53(10): 1712-1721 (2009) - 2008
- [c3]Josep Lluis Berral
Adaptive distributed mechanism against flooding network attacks based on machine learning. AISec 2008: 43-50 - [c2]Jordi Torres
Tailoring Resources: The Energy Efficient Consolidation Strategy Goes Beyond Virtualization. ICAC 2008: 197-198 - 2007
- [c1]Nicolás Poggi, Toni Moreno, Josep Lluis Berral, Ricard Gavaldà
Web Customer Modeling for Automated Session Prioritization on High Traffic Sites. User Modeling 2007: 450-454
Coauthor Index
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last updated on 2024-12-26 00:49 CET by the dblp team
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