Distributed Parallel Analysis Engine for High Energy Physics Using AWS Lambda. - Jacek Kusnierz; Maciej Malawski; Vincenzo Eduardo Padulano; Enric Tejedor Saavedra; Pedro Alonso-Jordá (HiPS@HPDC, 2021)

A Serverless Engine for High Energy Physics Distributed Analysis. - Jacek Kusnierz; Vincenzo Eduardo Padulano; Maciej Malawski; Kamil Burkiewicz; Enric Tejedor Saavedra; Pedro Alonso-Jordá; Michael Pitt; Valentina Avati (CCGRID, 2022)

Leveraging State-of-the-Art Engines for Large-Scale Data Analysis in High Energy Physics. - Vincenzo Eduardo Padulano; Ivan Donchev Kabadzhov; Enric Tejedor Saavedra; Enrico Guiraud; Pedro Alonso-Jordá (J. Grid Comput., 2023)

Leveraging an open source serverless framework for high energy physics computing. - Vincenzo Eduardo Padulano; Pablo Oliver Cortés; Pedro Alonso-Jordá; Enric Tejedor Saavedra; Sebastián Risco; Germán Moltó (J. Supercomput., 2023)

A caching mechanism to exploit object store speed in High Energy Physics analysis. - Vincenzo Eduardo Padulano; Enric Tejedor Saavedra; Pedro Alonso-Jordá; Javier López-Gómez; Jakob Blomer (Clust. Comput., 2023)

Prototyping a ROOT-based distributed analysis workflow for HL-LHC: The CMS use case. - Tommaso Tedeschi; Vincenzo Eduardo Padulano; Daniele Spiga; Diego Ciangottini; Mirco Tracolli; Enric Tejedor Saavedra; Enrico Guiraud; Massimo Biasotto (Comput. Phys. Commun., 2024)