Adding Virtualization Capabilities to the Grid'5000 Testbed. - Daniel Balouek; Alexandra Carpen-Amarie; Ghislain Charrier; Frédéric Desprez; Emmanuel Jeannot; Emmanuel Jeanvoine; Adrien Lèbre; David Margery; Nicolas Niclausse; Lucas Nussbaum; Olivier Richard; Christian Pérez; et al. (CLOSER (Selected Papers), 2012)

Advanced Validation of the DVMS Approach to Fully Distributed VM Scheduling. - Flavien Quesnel; Adrien Lebre; Jonathan Pastor; Mario Südholt; Daniel Balouek (TrustCom/ISPA/IUCC, 2013)

Energy-Aware Server Provisioning by Introducing Middleware-Level Dynamic Green Scheduling. - Daniel Balouek-Thomert; Eddy Caron; Laurent Lefèvre (IPDPS Workshops, 2015)

Parallel differential evolution approach for cloud workflow placements under simultaneous optimization of multiple objectives. - Daniel Balouek-Thomert; Arya K. Bhattacharya; Eddy Caron; Karunakar Gadireddy; Laurent Lefèvre (CEC, 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). - Daniel Balouek-Thomert (2016)

Online Decision-Making Using Edge Resources for Content-Driven Stream Processing. - Eduard Gibert Renart; Daniel Balouek-Thomert; Xuan Hu; Jie Gong; Manish Parashar (eScience, 2017)

Supporting Data-Driven Workflows Enabled by Large Scale Observatories. - Ali Reza Zamani; Moustafa AbdelBaky; Daniel Balouek-Thomert; Ivan Rodero; Manish Parashar (eScience, 2017)

Pulsar: Enabling Dynamic Data-Driven IoT Applications. - Eduard Gibert Renart; Daniel Balouek-Thomert; Manish Parashar (FAS*W@SASO/ICCAC, 2017)

Nu@ge: A container-based cloud computing service federation. - Daniel Balouek-Thomert; Eddy Caron; Pascal Gallard; Laurent Lefèvre (Concurr. Comput. Pract. Exp., 2017)

Edge Enhanced Deep Learning System for Large-Scale Video Stream Analytics. - Muhammad K. Ali; Ashiq Anjum; Muhammad Usman Yaseen; Ali Reza Zamani; Daniel Balouek-Thomert; Omer F. Rana; Manish Parashar (ICFEC, 2018)

Runtime Management of Data Quality for Scientific Observatories Using Edge and In-Transit Resources. - Ali Reza Zamani; Daniel Balouek-Thomert; Juan J. Villalobos; Ivan Rodero; Manish Parashar (SBAC-PAD, 2018)

Ensemble-Based Network Edge Processing. - Ioan Petri; Ali Reza Zamani; Daniel Balouek-Thomert; Omer F. Rana; Yacine Rezgui; Manish Parashar (UCC, 2018)

Edge Based Data-Driven Pipelines (Technical Report). - Eduard Gibert Renart; Daniel Balouek-Thomert; Manish Parashar (CoRR, 2018)

Distributed Operator Placement for IoT Data Analytics Across Edge and Cloud Resources. - Eduard Gibert Renart; Alexandre Da Silva Veith; Daniel Balouek-Thomert; Marcos Dias de Assunção; Laurent Lefèvre; Manish Parashar (CCGRID, 2019)

Leveraging energy-efficient non-lossy compression for data-intensive applications. - Issam Raïs; Daniel Balouek-Thomert; Anne-Cécile Orgerie; Laurent Lefèvre; Manish Parashar (HPCS, 2019)

An Edge-Based Framework for Enabling Data-Driven Pipelines for IoT Systems. - Eduard Gibert Renart; Daniel Balouek-Thomert; Manish Parashar (IPDPS Workshops, 2019)

Challenges in designing edge-based middlewares for the Internet of Things: A survey. - Eduard Gibert Renart; Daniel Balouek-Thomert; Manish Parashar (CoRR, 2019)

Towards a computing continuum: Enabling edge-to-cloud integration for data-driven workflows. - Daniel Balouek-Thomert; Eduard Gibert Renart; Ali Reza Zamani; Anthony Simonet; Manish Parashar (Int. J. High Perform. Comput. Appl., 2019)

Towards comprehensive dependability-driven resource use and message log-analysis for HPC systems diagnosis. - Edward Chuah; Arshad Jhumka; Samantha Alt; Daniel Balouek-Thomert; James C. Browne; Manish Parashar (J. Parallel Distributed Comput., 2019)

A Distributed Multi-Sensor Machine Learning Approach to Earthquake Early Warning. - Kevin Fauvel; Daniel Balouek-Thomert; Diego Melgar; Pedro Silva 007; Anthony Simonet; Gabriel Antoniu; Alexandru Costan; Véronique Masson; Manish Parashar; Ivan Rodero; Alexandre Termier (AAAI, 2020)

Enhancing microservices architectures using data-driven service discovery and QoS guarantees. - Zeina Houmani; Daniel Balouek-Thomert; Eddy Caron; Manish Parashar (CCGRID, 2020)

Trading Data Size and CNN Confidence Score for Energy Efficient CPS Node Communications. - Issam Raïs; Otto J. Anshus; John Markus Bjørndalen; Daniel Balouek-Thomert; Manish Parashar (CCGRID, 2020)

Submarine: A subscription-based data streaming framework for integrating large facilities and advanced cyberinfrastructure. - Ali Reza Zamani; Moustafa AbdelBaky; Daniel Balouek-Thomert; Juan J. Villalobos; Ivan Rodero; Manish Parashar (Concurr. Comput. Pract. Exp., 2020)

An edge-aware autonomic runtime for data streaming and in-transit processing. - Ali Reza Zamani; Daniel Balouek-Thomert; Juan J. Villalobos; Ivan Rodero; Manish Parashar (Future Gener. Comput. Syst., 2020)

Harnessing the Computing Continuum for Urgent Science. - Daniel Balouek-Thomert; Ivan Rodero; Manish Parashar (SIGMETRICS Perform. Evaluation Rev., 2020)

Platforms for Edge Computing and Internet of Things applications: A survey. - Daniel Balouek-Thomert; Manish Parashar (IC3, 2021)

Enabling microservices management for Deep Learning applications across the Edge-Cloud Continuum. - Zeina Houmani; Daniel Balouek-Thomert; Eddy Caron; Manish Parashar (SBAC-PAD, 2021)

Evaluating policy-driven adaptation on the Edge-to-Cloud Continuum. - Daniel Balouek-Thomert; Ivan Rodero; Manish Parashar (UrgentHPC@SC, 2021)

MDSC: modelling distributed stream processing across the edge-to-cloud continuum. - Daniel Balouek-Thomert; Pedro Silva 007; Kevin Fauvel; Alexandru Costan; Gabriel Antoniu; Manish Parashar (UCC Companion, 2021)

Autonomics at the Edge: Resource Orchestration for Edge Native Applications. - Ioan Petri; Omer F. Rana; Luiz F. Bittencourt; Daniel Balouek-Thomert; Manish Parashar (IEEE Internet Comput., 2021)

RES: Real-Time Video Stream Analytics Using Edge Enhanced Clouds. - Muhammad K. Ali; Ashiq Anjum; Omer F. Rana; Ali Reza Zamani; Daniel Balouek-Thomert; Manish Parashar (IEEE Trans. Cloud Comput., 2022)

Dynamic Adaptation of Urgent Applications in the Edge-to-Cloud Continuum. - Daniel Balouek; Hélène Coullon (Euro-Par Workshops (1), 2023)

TEMA: Event Driven Serverless Workflows Platform for Natural Disaster Management. - Christian Sicari; Alessio Catalfamo; Lorenzo Carnevale; Antonino Galletta; Daniel Balouek-Thomert; Manish Parashar; Massimo Villari (ISCC, 2023)

Keynote Talk: Leveraging the Edge-Cloud Continuum to Manage the Impact of Wildfires on Air Quality. - Daniel Balouek-Thomert; Ismael Pérez; Sam D. Faulstich; Heather A. Holmes; Ilkay Altintas; Manish Parashar (PerCom Workshops, 2023)

An urgent computing oriented architecture for dynamic climate risk management framework. - Shahrzad Pour; Daniel Balouek; Amir Masoumi; Martin Brynskov (UCC, 2023)

Event-Driven FaaS Workflows for Enabling IoT Data Processing at the Cloud Edge Continuum. - Christian Sicari; Daniel Balouek; Manish Parashar; Massimo Villari (UCC, 2023)

AI Techniques in the Microservices Life-Cycle: A Survey. - Sergio Moreschini; Shahrzad Pour; Ivan Lanese; Daniel Balouek-Thomert; Justus Bogner; Xiaozhou Li 002; Fabiano Pecorelli; Jacopo Soldani; Eddy Truyen; Davide Taibi 001 (CoRR, 2023)

Collaborative services for Crowd Safety systems across the Edge-Cloud Computing Continuum. - Daniel Balouek; Julien Pettré (CCGridW, 2024)

A Formal Modeling and Verification Approach for IoT-Cloud Resource-Oriented Applications. - Yassmine Gara Hellal; Lazhar Hamel; Mohamed Graiet; Daniel Balouek (CCGrid, 2024)

Proteus: Towards Intent-driven Automated Resource Management Framework for Edge Sensor Nodes. - Shashikant Ilager; Daniel Balouek; Sidi Mohammed Kaddour; Ivona Brandic (FlexScience@HPDC, 2024)

Performance-cost trade-offs in service orchestration for edge computing. - Daniel Balouek (SSDBM, 2024)

Workflows Community Summit 2024: Future Trends and Challenges in Scientific Workflows. - Rafael Ferreira da Silva; Deborah Bard; Kyle Chard; Shaun De Witt; Ian T. Foster; Tom Gibbs; Carole A. Goble; William F. Godoy; Johan Gustafsson 001; Utz-Uwe Haus; Stephen Hudson; Shantenu Jha; et al. (CoRR, 2024)

AI Techniques in the Microservices Life-Cycle: a Systematic Mapping Study. - Sergio Moreschini; Shahrzad Pour; Ivan Lanese; Daniel Balouek; Justus Bogner; Xiaozhou Li 002; Fabiano Pecorelli; Jacopo Soldani; Eddy Truyen; Davide Taibi 001 (Computing, 2025)