Daniel Balouek-Thomert

Orcid: 0000-0001-6038-1077

Affiliations:
  • INRIA, France


According to our database1, Daniel Balouek-Thomert authored at least 42 papers between 2012 and 2024.

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Bibliography

2024
Workflows Community Summit 2024: Future Trends and Challenges in Scientific Workflows.
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CoRR, 2024

Performance-cost trade-offs in service orchestration for edge computing.
Proceedings of the 36th International Conference on Scientific and Statistical Database Management, 2024

Proteus: Towards Intent-driven Automated Resource Management Framework for Edge Sensor Nodes.
Proceedings of the 14th Workshop on AI and Scientific Computing at Scale using Flexible Computing Infrastructures, 2024

A Formal Modeling and Verification Approach for IoT-Cloud Resource-Oriented Applications.
Proceedings of the 24th IEEE International Symposium on Cluster, 2024

Collaborative services for Crowd Safety systems across the Edge-Cloud Computing Continuum.
Proceedings of the 24th IEEE International Symposium on Cluster, 2024

2023
AI Techniques in the Microservices Life-Cycle: A Survey.
CoRR, 2023

Event-Driven FaaS Workflows for Enabling IoT Data Processing at the Cloud Edge Continuum.
Proceedings of the IEEE/ACM 16th International Conference on Utility and Cloud Computing, 2023

An urgent computing oriented architecture for dynamic climate risk management framework.
Proceedings of the IEEE/ACM 16th International Conference on Utility and Cloud Computing, 2023

Keynote Talk: Leveraging the Edge-Cloud Continuum to Manage the Impact of Wildfires on Air Quality.
Proceedings of the IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events, 2023

TEMA: Event Driven Serverless Workflows Platform for Natural Disaster Management.
Proceedings of the IEEE Symposium on Computers and Communications, 2023

Dynamic Adaptation of Urgent Applications in the Edge-to-Cloud Continuum.
Proceedings of the Euro-Par 2023: Parallel Processing Workshops - Euro-Par 2023 International Workshops, Limassol, Cyprus, August 28, 2023

2022
RES: Real-Time Video Stream Analytics Using Edge Enhanced Clouds.
IEEE Trans. Cloud Comput., 2022

2021
Autonomics at the Edge: Resource Orchestration for Edge Native Applications.
IEEE Internet Comput., 2021

MDSC: modelling distributed stream processing across the edge-to-cloud continuum.
Proceedings of the UCC '21: 2021 IEEE/ACM 14th International Conference on Utility and Cloud Computing, Leicester, United Kingdom, December 6 - 9, 2021, 2021

Evaluating policy-driven adaptation on the Edge-to-Cloud Continuum.
Proceedings of the IEEE/ACM HPC for Urgent Decision Making, 2021

Enabling microservices management for Deep Learning applications across the Edge-Cloud Continuum.
Proceedings of the 33rd IEEE International Symposium on Computer Architecture and High Performance Computing, 2021

Platforms for Edge Computing and Internet of Things applications: A survey.
Proceedings of the IC3 2021: Thirteenth International Conference on Contemporary Computing, Noida, India, August 5, 2021

2020
Harnessing the Computing Continuum for Urgent Science.
SIGMETRICS Perform. Evaluation Rev., 2020

An edge-aware autonomic runtime for data streaming and in-transit processing.
Future Gener. Comput. Syst., 2020

Submarine: A subscription-based data streaming framework for integrating large facilities and advanced cyberinfrastructure.
Concurr. Comput. Pract. Exp., 2020

Trading Data Size and CNN Confidence Score for Energy Efficient CPS Node Communications.
Proceedings of the 20th IEEE/ACM International Symposium on Cluster, 2020

Enhancing microservices architectures using data-driven service discovery and QoS guarantees.
Proceedings of the 20th IEEE/ACM International Symposium on Cluster, 2020

A Distributed Multi-Sensor Machine Learning Approach to Earthquake Early Warning.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Towards comprehensive dependability-driven resource use and message log-analysis for HPC systems diagnosis.
J. Parallel Distributed Comput., 2019

Towards a computing continuum: Enabling edge-to-cloud integration for data-driven workflows.
Int. J. High Perform. Comput. Appl., 2019

Challenges in designing edge-based middlewares for the Internet of Things: A survey.
CoRR, 2019

An Edge-Based Framework for Enabling Data-Driven Pipelines for IoT Systems.
Proceedings of the IEEE International Parallel and Distributed Processing Symposium Workshops, 2019

Leveraging energy-efficient non-lossy compression for data-intensive applications.
Proceedings of the 17th International Conference on High Performance Computing & Simulation, 2019

Distributed Operator Placement for IoT Data Analytics Across Edge and Cloud Resources.
Proceedings of the 19th IEEE/ACM International Symposium on Cluster, 2019

2018
Edge Based Data-Driven Pipelines (Technical Report).
CoRR, 2018

Ensemble-Based Network Edge Processing.
Proceedings of the 11th IEEE/ACM International Conference on Utility and Cloud Computing, 2018

Runtime Management of Data Quality for Scientific Observatories Using Edge and In-Transit Resources.
Proceedings of the 30th International Symposium on Computer Architecture and High Performance Computing, 2018

Edge Enhanced Deep Learning System for Large-Scale Video Stream Analytics.
Proceedings of the 2nd IEEE International Conference on Fog and Edge Computing, 2018

2017
Nu@ge: A container-based cloud computing service federation.
Concurr. Comput. Pract. Exp., 2017

Pulsar: Enabling Dynamic Data-Driven IoT Applications.
Proceedings of the 2nd IEEE International Workshops on Foundations and Applications of Self* Systems, 2017

Supporting Data-Driven Workflows Enabled by Large Scale Observatories.
Proceedings of the 13th IEEE International Conference on e-Science, 2017

Online Decision-Making Using Edge Resources for Content-Driven Stream Processing.
Proceedings of the 13th IEEE International Conference on e-Science, 2017

2016
Scheduling on Clouds considering energy consumption and performance trade-offs : from modelization to industrial applications. (Ordonnancement sur Clouds avec arbitrage entre la performance et la consommation d'énergie : de la modélisation aux applications industrielles).
PhD thesis, 2016

Parallel differential evolution approach for cloud workflow placements under simultaneous optimization of multiple objectives.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016

2015
Energy-Aware Server Provisioning by Introducing Middleware-Level Dynamic Green Scheduling.
Proceedings of the 2015 IEEE International Parallel and Distributed Processing Symposium Workshop, 2015

2013
Advanced Validation of the DVMS Approach to Fully Distributed VM Scheduling.
Proceedings of the 12th IEEE International Conference on Trust, 2013

2012
Adding Virtualization Capabilities to the Grid'5000 Testbed.
Proceedings of the Cloud Computing and Services Science - Second International Conference, 2012


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