Data-Centric Computing

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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
Workload-Aware Placement Strategies to Leverage Disaggregated Resources in the Datacenter

IEEE Systems Journal

A. Call, J. Polo, and D. Carrera
Performance characterization of video analytics workloads in heterogeneous edge infrastructures

Concurrency and Computation: Practice and Experience

D. Rivas-Barragan, F. Guim, J. Polo, 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
Drug2ways: Reasoning over causal paths in biological networks for drug discovery

PLOS Computational Biology

D. Rivas-Barragan, S. Mubeen, F. Guim Bernat, M. Hofmann-Apitius, and D. Domingo-Fernández
Improving maritime traffic emission estimations on missing data with CRBMs

Engineering Applications of Artificial Intelligence

A. Gutierrez-Torre, J L. Berral, D. Buchaca, M. Guevara, A. Soret, and D. Carrera
A highly parameterizable framework for Conditional Restricted Boltzmann Machine based workloads accelerated with FPGAs and OpenCL

Future Generation Computer Systems

Z. Jakšić, N. Cadenelli, D. Buchaca Prats, J. Polo, J L. Berral, and D. Carrera Perez

2019

Benchmarking Elastic Cloud Big Data Services Under SLA Constraints

TPCTC 2019: Performance Evaluation and Benchmarking for the Era of Cloud(s)

N. Poggi, V. Cuevas, D. Carrera, J L. Berral, T. Fenech, G. Gomez, D. Brini, A. Montero, U. Farooq, J. A. Blakeley, D. Kossmann, R. Ramakrishnan, and C. Szypersky
Guest Editorial: Special Issue on Novel Techniques in Big Data Analytics for Management

IEEE Transactions on Network and Service Management

D. Carrera, G. Casale, T. Inoue, H. Lutfiyya, J. Wang, and N. Zincir-Heywood
Real-Time Data Center’s Telemetry Reduction and Reconstruction Using Markov Chain Models

IEEE Systems Journal

S-ur-R. Baig, W. Iqbal, J L. Berral, A. Erradi, and D. Carrera
Adaptive Prediction Models for Data Center Resources Utilization Estimation

IEEE Transactions on Network and Service Management

S-ur-R. Baig, W. Iqbal, J L. Berral, A. Erradi, and D. Carrera
Adaptive sliding windows for improved estimation of data center resource utilization

Future Generation Computer Systems

S-ur-R. Baig, W. Iqbal, J L. Berral, and D. Carrera
Adaptive Prediction Models for Data Center Resources Utilization Estimation

IEEE Transactions on Network and Service Management

S-ur-R. Baig, W. Iqbal, J. Lluis Berral, A. Erradi, and D. Carrera
Constant- Time Approximate Sliding Window Framework with Error Control

2019 IEEE 22nd International Symposium on Real-Time Distributed Computing (ISORC)

Á. Villalba, and D. Carrera
Constant-Time Sliding Window Framework with Reduced Memory Footprint and Efficient Bulk Evictions

IEEE Transactions on Parallel and Distributed Processes

Á. Villalba, J L. Berral, and D. Carrera
Considerations in using OpenCL on GPUs and FPGAs for throughput-oriented genomics workloads

Future Generation Computer Systems

N. Cadenelli, Z. Jaks̆ić, J. Polo, and D. Carrera

2018

Multi-tenant Pub/Sub Processing for Real-Time Data Streams

Lecture Notes in Computer ScienceEuro-Par 2018: Parallel Processing Workshops

Á. Villalba, and D. Carrera
Multi-tenant Pub/Sub Processing for Real-Time Data Streams

Lecture Notes in Computer ScienceEuro-Par 2018: Parallel Processing Workshops

Á. Villalba, and D. Carrera
Disaggregating Non-Volatile Memory for Throughput-Oriented Genomics Workloads

Lecture Notes in Computer ScienceEuro-Par 2018: Parallel Processing Workshops

A. Call, J. Polo, D. Carrera, F. Guim, and S. Sen
Performance Characterization of Spark Workloads on Shared NUMA Systems

2018 IEEE Fourth International Conference on Big Data Computing Service and Applications (BigDataService)

S-ur-R. Baig, M. Amaral, J. Polo, and D. Carrera
A resilient and distributed near real-time traffic forecasting application for Fog computing environments

Future Generation Computer Systems

J. LuisPerez, A. Gutierrez-Torre, J L. Berral, and D. Carrera

2017

Characterizing BigBench Queries, Hive, and Spark in Multi-cloud Environments

Lecture Notes in Computer SciencePerformance Evaluation and Benchmarking for the Analytics Era

N. Poggi, A. Montero, and D. Carrera

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