Josep Lluis Berral Garcia

2022

• Towards automatic model specialization for edge video analytics

  Future Generation Computer Systems

  D. Rivas-Barragan, J L. Berral, J. Polo, and D. Carrera
• The Holistic Perspective of the INCISIVE Project—Artificial Intelligence in Screening Mammography

  Applied Sciences

  F. Agulló, S. Auso, B. Alves, C. Barelle, I. Lazic, J L. Berral, P. Bizopoulos, O. Bunduc, I. Chouvarda, D. Dominguez, D. Filos, A. Gutierrez-Torre, I. Hesso, N. Jakovljevic, and et. al.
• Clustering and graph mining techniques for classification of complex structural variations in cancer genomes

  Scientific Reports

  G. Gomez-Sanchez, L. Delgado-Serrano, D. Carrera, D. Torrents, and J L. Berral
• TunaOil: A Tuning Algorithm Strategy for Reservoir Simulation Workloads

  Journal of Computational Science

  F. Portella, D. Buchaca, J. Roberto Rodrigues, and J L. Berral

2021

• Automatic Distributed Deep Learning Using Resource-Constrained Edge Devices

  IEEE Internet of Things Journal

  A. Gutierrez-Torre, K. Bahadori, S-ur-R. Baig, W. Iqbal, T. Vardanega, J L. Berral, and D. Carrera

2020

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

  IEEE International Conference on Cloud Computing, CLOUD

  D. Buchaca, J L. Berral, C. Wang, and A. Youssef
• AI4DL: Mining Behaviors of Deep Learning Workloads for Resource Management

  12th USENIX Workshop on Hot Topics in Cloud Computing (HotCloud 20)

  J L. Berral, C. Wang, and A. Youssef
• Burst-Aware Predictive Autoscaling for Containerized Microservices

  IEEE Transactions on Services Computing

  M. Abdullah, W. Iqbal, J L. Berral, J. Polo, and D. Carrera
• You Only Run Once: Spark Auto-tuning from a Single Run

  IEEE Transaction on Networks and Systems Management

  D. Buchaca, F. Portella, C. Costa, and J L. Berral
• Sequence-to-sequence models for workload interference prediction on batch processing datacenters

  Future Generation Computer Systems

  D. Buchaca, J. Marcual, J L. Berral, and D. Carrera