Publications

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Showing 1 - 10 results of 47

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

Pages