Big Data Frameworks

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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
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
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

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
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 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

2017

Automatic Generation of Workload Profiles using Unsupervised Learning Pipelines

IEEE Transactions on Network and Service Management

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

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