Josep Lluís Berral

Orcid: 0000-0003-3037-3580

According to our database1, Josep Lluís Berral authored at least 61 papers between 2007 and 2024.

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Bibliography

2024
Enabling an OpenStack-based cloud on top of RISC-V hardware.
CoRR, 2024

Vitamin-V: Expanding Open-Source RISC-V Cloud Environments.
CoRR, 2024

Time-Quality Tradeoff of MuseHash Query Processing Performance.
Proceedings of the MultiMedia Modeling - 30th International Conference, 2024

Dexter: A Performance-Cost Efficient Resource Allocation Manager for Serverless Data Analytics.
Proceedings of the 25th International Middleware Conference, 2024

Towards Pareto Optimal Throughput in Small Language Model Serving.
Proceedings of the 4th Workshop on Machine Learning and Systems, 2024

HealthMesh: An Architectural Framework for Federated Healthcare Data Management.
Proceedings of the 26th International Workshop on Design, 2024


On the Relation Between Open Project-Based Learning in Undergraduate Computer Science Education and Contemporary Technological Trends.
Proceedings of the 16th International Conference on Computer Supported Education, 2024

2023
Vitamin-V: Virtual Environment and Tool-boxing for Trustworthy Development of RISC-V based Cloud Services.
CoRR, 2023

Challenges and Opportunities for RISC-V Architectures Towards Genomics-Based Workloads.
Proceedings of the High Performance Computing, 2023


MScheduler: Leveraging Spot Instances for High-Performance Reservoir Simulation in the Cloud.
Proceedings of the IEEE International Conference on Cloud Computing Technology and Science, 2023

2022
Burst-Aware Predictive Autoscaling for Containerized Microservices.
IEEE Trans. Serv. Comput., 2022

TunaOil: A tuning algorithm strategy for reservoir simulation workloads.
J. Comput. Sci., 2022

Automatic Distributed Deep Learning Using Resource-Constrained Edge Devices.
IEEE Internet Things J., 2022

Towards automatic model specialization for edge video analytics.
Future Gener. Comput. Syst., 2022

Floki: a proactive data forwarding system for direct inter-function communication for serverless workflows.
Proceedings of the Eighth International Workshop on Container Technologies and Container Clouds, 2022

Distributing Deep Learning Hyperparameter Tuning for 3D Medical Image Segmentation.
Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2022

2021
Towards Unsupervised Fine-Tuning for Edge Video Analytics.
CoRR, 2021

Large-Scale Video Analytics Through Object-Level Consolidation.
Proceedings of the Science and Technologies for Smart Cities, 2021

Theta-Scan: Leveraging Behavior-Driven Forecasting for Vertical Auto-Scaling in Container Cloud.
Proceedings of the 14th IEEE International Conference on Cloud Computing, 2021

2020
You Only Run Once: Spark Auto-Tuning From a Single Run.
IEEE Trans. Netw. Serv. Manag., 2020

Sequence-to-sequence models for workload interference prediction on batch processing datacenters.
Future Gener. Comput. Syst., 2020

A highly parameterizable framework for Conditional Restricted Boltzmann Machine based workloads accelerated with FPGAs and OpenCL.
Future Gener. Comput. Syst., 2020

Adaptive sliding windows for improved estimation of data center resource utilization.
Future Gener. Comput. Syst., 2020

Improving maritime traffic emission estimations on missing data with CRBMs.
Eng. Appl. Artif. Intell., 2020

Sequence-to-sequence models for workload interference.
CoRR, 2020

AI4DL: Mining Behaviors of Deep Learning Workloads for Resource Management.
Proceedings of the 12th USENIX Workshop on Hot Topics in Cloud Computing, 2020

Proactive Container Auto-scaling for Cloud Native Machine Learning Services.
Proceedings of the 13th IEEE International Conference on Cloud Computing, 2020

2019
Constant-Time Sliding Window Framework with Reduced Memory Footprint and Efficient Bulk Evictions.
IEEE Trans. Parallel Distributed Syst., 2019

Adaptive Prediction Models for Data Center Resources Utilization Estimation.
IEEE Trans. Netw. Serv. Manag., 2019

Real-Time Data Center's Telemetry Reduction and Reconstruction Using Markov Chain Models.
IEEE Syst. J., 2019

Benchmarking Elastic Cloud Big Data Services Under SLA Constraints.
Proceedings of the Performance Evaluation and Benchmarking for the Era of Cloud(s), 2019

2018
Automatic Generation of Workload Profiles Using Unsupervised Learning Pipelines.
IEEE Trans. Netw. Serv. Manag., 2018

A resilient and distributed near real-time traffic forecasting application for Fog computing environments.
Future Gener. Comput. Syst., 2018

When and How to Apply Statistics, Machine Learning and Deep Learning Techniques.
Proceedings of the 2018 20th International Conference on Transparent Optical Networks (ICTON), 2018

2017
ALOJA: A Framework for Benchmarking and Predictive Analytics in Hadoop Deployments.
IEEE Trans. Emerg. Top. Comput., 2017

2016
A quick view on current techniques and machine learning algorithms for big data analytics.
Proceedings of the 18th International Conference on Transparent Optical Networks, 2016

Database Integrated Analytics Using R: Initial Experiences with SQL-Server + R.
Proceedings of the IEEE International Conference on Data Mining Workshops, 2016

The state of SQL-on-Hadoop in the cloud.
Proceedings of the 2016 IEEE International Conference on Big Data (IEEE BigData 2016), 2016

2015
ALOJA: A Framework for Benchmarking and Predictive Analytics in Big Data Deployments.
CoRR, 2015

ALOJA: A Benchmarking and Predictive Platform for Big Data Performance Analysis.
Proceedings of the Big Data Benchmarking, 2015

ALOJA-ML: A Framework for Automating Characterization and Knowledge Discovery in Hadoop Deployments.
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

From performance profiling to predictive analytics while evaluating hadoop cost-efficiency in ALOJA.
Proceedings of the 2015 IEEE International Conference on Big Data (IEEE BigData 2015), Santa Clara, CA, USA, October 29, 2015

2014
Elastic operations in federated datacenters for performance and cost optimization.
Comput. Commun., 2014

Building Green Cloud Services at Low Cost.
Proceedings of the IEEE 34th International Conference on Distributed Computing Systems, 2014

2013
Improved self-management of datacenter systems applying machine learning.
PhD thesis, 2013

Cross-stratum orchestration and flexgrid optical networks for data center federations.
IEEE Netw., 2013

Empowering automatic data-center management with machine learning.
Proceedings of the 28th Annual ACM Symposium on Applied Computing, 2013

Power-Aware Multi-data Center Management Using Machine Learning.
Proceedings of the 42nd International Conference on Parallel Processing, 2013

2012
Energy-efficient and multifaceted resource management for profit-driven virtualized data centers.
Future Gener. Comput. Syst., 2012

2011
Adaptive Scheduling on Power-Aware Managed Data-Centers Using Machine Learning.
Proceedings of the 12th IEEE/ACM International Conference on Grid Computing, 2011

2010
J2EE instrumentation for software aging root cause application component determination with AspectJ.
Proceedings of the 24th IEEE International Symposium on Parallel and Distributed Processing, 2010

Multifaceted resource management for dealing with heterogeneous workloads in virtualized data centers.
Proceedings of the 2010 11th IEEE/ACM International Conference on Grid Computing, 2010

Towards energy-aware scheduling in data centers using machine learning.
Proceedings of the 1st International Conference on Energy-Efficient Computing and Networking, 2010

Adaptive on-line software aging prediction based on machine learning.
Proceedings of the 2010 IEEE/IFIP International Conference on Dependable Systems and Networks, 2010

Energy-Aware Scheduling in Virtualized Datacenters.
Proceedings of the 2010 IEEE International Conference on Cluster Computing, 2010

2009
Self-adaptive utility-based web session management.
Comput. Networks, 2009

2008
Tailoring Resources: The Energy Efficient Consolidation Strategy Goes Beyond Virtualization.
Proceedings of the 2008 International Conference on Autonomic Computing, 2008

Adaptive distributed mechanism against flooding network attacks based on machine learning.
Proceedings of the 1st ACM Workshop on Security and Artificial Intelligence, 2008

2007
Web Customer Modeling for Automated Session Prioritization on High Traffic Sites.
Proceedings of the User Modeling 2007, 11th International Conference, 2007


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