David Buchaca Prats

According to our database, David Buchaca Prats authored at least 13 papers between 2014 and 2022.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

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

2021

Learning workload behaviour models from monitored time-series for resource estimation towards data center optimization.

David Buchaca Prats

PhD thesis, 2021

Theta-Scan: Leveraging Behavior-Driven Forecasting for Vertical Auto-Scaling in Container Cloud.

Josep Lluis Berral, David Buchaca Prats, Claudia Herron, Chen Wang, Alaa Youssef

Proceedings of the 14th IEEE International Conference on Cloud Computing, 2021

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

Sequence-to-sequence models for workload interference prediction on batch processing datacenters.

David Buchaca Prats, Joan Marcual, Josep Lluis Berral, David Carrera

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

Future Gener. Comput. Syst., 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

Eng. Appl. Artif. Intell., 2020

Sequence-to-sequence models for workload interference.

David Buchaca Prats, Joan Marcual, Josep Lluís Berral, David Carrera

CoRR, 2020

Proactive Container Auto-scaling for Cloud Native Machine Learning Services.

David Buchaca Prats, Josep Lluís Berral, Chen Wang, Alaa Youssef

Proceedings of the 13th IEEE International Conference on Cloud Computing, 2020

2019

Weighted contrastive divergence.

Enrique Romero, Ferran Mazzanti, Jordi Delgado, David Buchaca Prats

Neural Networks, 2019

2018

Automatic Generation of Workload Profiles Using Unsupervised Learning Pipelines.

David Buchaca Prats, Josep Lluis Berral, David Carrera

IEEE Trans. Netw. Serv. Manag., 2018

Weighted Contrastive Divergence.

Enrique Romero Merino, Ferran Mazzanti Castrillejo, Jordi Delgado Pin, David Buchaca Prats

CoRR, 2018

2014

Stopping Criteria in Contrastive Divergence: Alternatives to the Reconstruction Error.

David Buchaca Prats, Enrique Romero, Ferran Mazzanti, Jordi Delgado

Proceedings of the 2nd International Conference on Learning Representations, 2014