Multilevel SLA-based QoS Support in Grids. - Javier Conejero; Luis Tomás; María Blanca Caminero; Carmen Carrión 001 (ISPA, 2012)

QoS Provisioning by Meta-Scheduling in Advance within SLA-Based Grid Environments. - Javier Conejero; Luis Tomás; María Blanca Caminero; Carmen Carrión 001 (Comput. Informatics, 2012)

Scaling Archived Social Media Data Analysis Using a Hadoop Cloud. - Javier Conejero; Pete Burnap; Omer F. Rana; Jeffrey Morgan (IEEE CLOUD, 2013)

Characterising the Power Consumption of Hadoop Clouds - A Social Media Analysis Case Study. - Javier Conejero; Omer F. Rana; Pete Burnap; Jeffrey Morgan; Carmen Carrión 001; María Blanca Caminero (CLOSER, 2013)

Analysing Hadoop performance in a multi-user IaaS Cloud. - Javier Conejero; María Blanca Caminero; Carmen Carrión 001 (HPCS, 2014)

From volunteer to trustable computing: Providing QoS-aware scheduling mechanisms for multi-grid computing environments. - Javier Conejero; María Blanca Caminero; Carmen Carrión 001; Luis Tomás (Future Gener. Comput. Syst., 2014)

COSMOS: Towards an integrated and scalable service for analysing social media on demand. - Pete Burnap; Omer F. Rana; Matthew L. Williams; William Housley; Adam Edwards; Jeffrey Morgan; Luke Sloan; Javier Conejero (Int. J. Parallel Emergent Distributed Syst., 2015)

Analyzing Hadoop power consumption and impact on application QoS. - Javier Conejero; Omer F. Rana; Pete Burnap; Jeffrey Morgan; María Blanca Caminero; Carmen Carrión 001 (Future Gener. Comput. Syst., 2016)

Formal performance evaluation of the Map/Reduce framework within cloud computing. - M. Carmen Ruiz; Diego Cazorla; Diego Pérez Leándrez; Javier Conejero (J. Supercomput., 2016)

Enabling Python to execute efficiently in heterogeneous distributed infrastructures with PyCOMPSs. - Ramon Amela; Cristian Ramon-Cortes; Jorge Ejarque; Javier Conejero; Rosa M. Badia (PyHPC@SC, 2017)

Boosting Atmospheric Dust Forecast with PyCOMPSs. - Javier Conejero; Cristian Ramon-Cortes; Kim Serradell; Rosa M. Badia (eScience, 2018)

Task-based programming in COMPSs to converge from HPC to big data. - Javier Conejero; Sandra Corella; Rosa M. Badia; Jesús Labarta (Int. J. High Perform. Comput. Appl., 2018)

Workflow Environments for Advanced Cyberinfrastructure Platforms. - Rosa M. Badia; Jorge Ejarque; Francesc Lordan; Daniele Lezzi; Javier Conejero; Javier Álvarez Cid-Fuentes; Yolanda Becerra 001; Anna Queralt (ICDCS, 2019)

Accelerating Hyperparameter Optimisation with PyCOMPSs. - Albert Njoroge Kahira; Leonardo Bautista-Gomez; Javier Conejero; Rosa M. Badia (ICPP Workshops, 2019)

Managing Failures in Task-Based Parallel Workflows in Distributed Computing Environments. - Jorge Ejarque; Marta Bertran; Javier Álvarez Cid-Fuentes; Javier Conejero; Rosa M. Badia (Euro-Par, 2020)

Enabling System Wide Shared Memory for Performance Improvement in PyCOMPSs Applications. - Clément Foyer; Javier Conejero; Jorge Ejarque; Rosa M. Badia; Adrian Tate; Simon McIntosh-Smith (PyHPC@SC, 2020)

The BioExcel methodology for developing dynamic, scalable, reliable and portable computational biomolecular workflows. - Jorge Ejarque; Pau Andrio; Adam Hospital; Javier Conejero; Daniele Lezzi; Josep Lluis Gelpí; Rosa M. Badia (e-Science, 2022)

Automatic, Efficient and Scalable Provenance Registration for FAIR HPC Workflows. - Raül Sirvent; Javier Conejero; Francesc Lordan; Jorge Ejarque; Laura Rodríguez-Navas; José María Fernández 001; Salvador Capella-Gutiérrez; Rosa M. Badia (WORKS@SC, 2022)

RosneT: A Block Tensor Algebra Library for Out-of-Core Quantum Computing Simulation. - Sergio Sánchez Ramírez; Javier Conejero; Francesc Lordan; Anna Queralt; Toni Cortes; Rosa M. Badia; Artur García-Sáez (CoRR, 2022)

PyCOMPSs as an Instrument for Translational Computer Science. - Rosa M. Badia; Javier Conejero; Jorge Ejarque; Daniele Lezzi; Francesc Lordan (Comput. Sci. Eng., 2022)

Hierarchical Management of Extreme-Scale Task-Based Applications. - Francesc Lordan; Gabriel Puigdemunt; Pere Vergés; Javier Conejero; Jorge Ejarque; Rosa M. Badia (Euro-Par, 2023)

Scalable Random Forest with Data-Parallel Computing. - Fernando Vázquez-Novoa; Javier Conejero; Cristian Tatu; Rosa M. Badia (Euro-Par, 2023)

The EU Center of Excellence for Exascale in Solid Earth (ChEESE): Implementation, results, and roadmap for the second phase. - Arnau Folch; Claudia Abril; Michael Afanasiev; Giorgio Amati; Michael Bader; Rosa M. Badia; Hafize B. Bayraktar; Sara Barsotti; Roberto Basili 002; Fabrizio Bernardi; Christian Boehm; Beatriz Brizuela; et al. (Future Gener. Comput. Syst., 2023)

COMPSs. - Jorge Ejarque; Francesc Lordan; Rosa Maria Badia; Raül Sirvent; Daniele Lezzi; Fernando Vázquez; Cristian Tatu; Gabriel Puigdemunt; Nihad Mammadli; Javier Conejero (Zenodo, 2023)

COMPSs. - Jorge Ejarque; Francesc Lordan; Rosa Maria Badia; Raül Sirvent; Daniele Lezzi; Fernando Vázquez; Cristian Tatu; Gabriel Puigdemunt; Nihad Mammadli; Javier Conejero (Zenodo, 2023)

Taming the Swarm: A Role-Based Approach for Autonomous Agents. - Francesc Lordan; Xavier Casas-Moreno; Philip Cummins; Javier Conejero; Rosa M. Badia; Raül Sirvent (Euro-Par Workshops (2), 2024)

GPU Cache System for COMPSs: A Task-Based Distributed Computing Framework. - Cristian Catalin Tatu; Javier Conejero; Fernando Vázquez-Novoa; Rosa M. Badia (Euro-Par (3), 2024)

Distributed Quantum Circuit Cutting for Hybrid Quantum-Classical High-Performance Computing. - Mar Tejedor; Berta Casas; Javier Conejero; Alba Cervera-Lierta; Rosa M. Badia (CoRR, 2025)

RCOMPSs: A Scalable Runtime System for R Code Execution on Manycore Systems. - Xiran Zhang; Javier Conejero; Sameh Abdulah; Jorge Ejarque; Ying Sun 002; Rosa M. Badia; David E. Keyes; Marc G. Genton (CoRR, 2025)