Accès ouvert déclaré
2026
conference-paper
Advancing KM3NeT Data Management: Harnessing Snakemake and Grid Computing
Anna Sinopoulou, Oscar Adriani, Arnauld Albert, Abdulrahman Rashed Alhebsi, Saif Alshalloudi, Maitha Alshamsi, S. Alves Garre, Antonio Ambrosone, Fabrizio Ameli, Michel André, Laurent Aphecetche, Miquel Ardid, Salva Ardid, Julien Aublin, F. Badaracco, Louis Bailly-Salins, Bruny Baret, Adriana Bariego, Monica Barnard, Yvonne Becherini, M. Bendahman, Francesco Benfenati Gualandi, Marouane Benhassi, David Benoit, Zuzana Beňušová, E. Berbee, Eugenio Berti, V. Bertin, P. Betti, Biagi Simone, Markus Boettcher, Danilo Bonanno, Mariangela Bondì, Sergio Bottai, A. B. Bouasla, Jihad Boumaaza, M. Bouta, Mieke Bouwhuis, C. Bozza, R. M. Bozza, H Brânzaş, Félix Bretaudeau, Misha Breuhaus, Ronald Bruijn, J. Brünner, Riccardo BRUNO, Ernst-Jan Buis, R. Buompane, Iván Burriel, Jose Busto, Barbara Caiffi, David CALVO, Antonio Capone, F Carenini, Víctor Carretero, Theophile Cartraud, Paolo Castaldi, V. Cecchini, Silvia Celli, Luc Cerisy, M. Chabab, Andrew Chen, S. Cherubini, T. Chiarusi, Wonyong Chung, Marco Circella, Rogan Clark, R. Cocimano, João Pedro Morence Coelho, Alexis Coleiro, Antonio Condorelli, Rosa Coniglione, P. Coyle, Alexandre Creusot, Giacomo CUTTONE, Richard Dallier, Antonio De Benedittis, Gwenhaël de Wasseige, Valentin Decoene, Paul Deguire, Ilaria Del Rosso, Letizia Stella Di Mauro, Irene Di Palma, Antonio Diaz, D. Diego-Tortosa, Carla Distefano, Alba Domi, Corinne Donzaud, Damien Dornic, E. Drakopoulou, Doriane Drouhin, Jean-Grégoire Ducoin, Pierre-Alexandre Duverne, R. Dvornický, Thomas Eberl, Eliška Eckerová, A. Eddymaoui, Thijs Juan van Eeden, Maximilian Eff, Daan van Eijk, Imad El Bojaddaini, Sonia El Hedri, Sharif El Mentawi, Venugopal Ellajosyula, A. Enzenhöfer, Mark Farino, Giovanna Ferrara, Miroslav D. Filipovic, Francesco Filippini, Dino Franciotti, L. Fusco, T. Gal, Juan García Mendéz, Alfonso Andres Garcia Soto, C. Gatius Oliver, Nicole Geißelbrecht, Eliot Genton, H. Ghaddari, Lucio Gialanella, Brad K Gibson, Emidio Giorgio, Isabel Astrid Goos, Pranjupriya Goswami, Sara Rebecca Gozzini, Rodrigo Gracia, Benoit Guillon, Christian Haack, C.P. Hanna, Hans van Haren, Ethan Hazelton, A. Heijboer, Lukas Hennig, Juan-Jose Hernandez-Rey, Abdelghani Idrissi, W. Idrissi Ibnsalih, Giulia Illuminati, Ricardo Jaimes, Oliver Janik, Diane Joly, Maarten De Jong, Paul De Jong, Bouke Jisse Jung, Piotr Kalaczyński, Ulì Katz, James Keegans, V. Kikvadze, G. Kistauri, Claudio Kopper, Antoine Kouchner, Yuri Kovalev, Lubos Krupa, V. Kueviakoe, Vladimir Kulikovskiy, Ramaz Kvatadze, Marc Labalme, Robert Lahmann, M. Lamoureux, Aurora Langella, Giuseppina Larosa, Chiara Lastoria, Jeffrey Lazar, Alfonso Lazo, G. Lehaut, Vincent Lemaître, Emanuele Leonora, Nadja Lessing, Giuseppe Levi, M. Lindsey Clark, F. Longhitano, Sriya Madarapu, Francesco Magnani, Leonardo Malerba, Fadahat Mamedov, Alberto Manfreda, A. Manousakis, Martina Marconi, Annarita Margiotta, Antonio Marinelli, Christos Markou, Lilian Martin, Massimo Mastrodicasa, S. Mastroianni, Jonathan Mauro, Kalyani Chaitnya Kumar Mehta, Gennaro Miele, Pasquale Migliozzi, Emilio Migneco, Maria Lucia Mitsou, C.M. Mollo, Lizeth Morales Gallegos, Nicola Mori, Abdelilah Moussa, I. Mozun Mateo, Rasa Muller, M. R. Musone, Mario Musumeci, Sergio Navas, Amid Nayerhoda, Carlo Alessandro Nicolau, Bhuti Nkosi, Brían Ó Fearraigh, Veronica Oliviero, Angelo Orlando, Enzo Oukacha, Lorenzo Pacini, Daniele Paesani, Juan Palacios González, Gogita Papalashvili, Paolo Papini, Vittorio Parisi, Akash Parmar, C. PASTORE, A. M. Păun, Gabriela Emilia Păvălaş, S. Martı́nez, Mathieu Perrin-Terrin, Valentin Pestel, Mariia Petropavlova, Paolo Piattelli, Alexander Plavin, Chiara Poirè, Vlad Popa, Thierry Pradier, Jorge Moisés Kroll do Prado, Sara Pulvirenti, Carlos Quiroz, Nunzio Randazzo, Ahmed Ratnani, Md. Soebur Razzaque, Immacolata Carmen Rea, Diego REAL, Giorgio Riccobene, Joshua Robinson, Andrey I. Romanov, Eduardo Ros, Adrian Saina, Francisco Salesa Greus, Dorothea Franziska Elisabeth Samtleben, Agustín Sánchez Losa, Simone Sanfilippo, Matteo Sanguineti, D. Santonocito, Piera Sapienza, M. Scaringella, Marco Scarnera, Jutta Schnabel, Johannes Schumann, Jordan Seneca, Per Sevle, Irene Sgura, Rezo Shanidze, Chengyu Shao, Ankur Sharma, Yury Shitov, Fedor Šimkovic, A. Simonelli, Bernardino Spisso, Maurizio Spurio, O. Starodubtsev, Dimitris Stavropoulos, Ivan Stekl, Diego Stocco, Mauro Taiuti, Yahya Tayalati, Hannes Thiersen, Iara Tosta e Melo, Benjamin Trocme, V. Tsourapis, Christopher Tully, Ekaterini Tzamariudaki, Artur Ukleja, Antonin Vacheret, Veronica Valsecchi, Veronique Van Elewyck, Godefroy Vannoye, Elena Vannuccini, George Vasileiadis, Francisco Vazquez de Sola, Alessandro Veutro, Salvatore Viola, D. Vivolo, Arjen van Vliet, E. de Wolf, Isabelle Yvon, Sandra Zavatarelli, Daniele Zito, Juan-De-Dios Zornoza, Juan Zúñiga
0Citations signalées, ce qui n’est pas une note de qualité
1Institutions déclarées
1Pays d’affiliation déclarés
Rattachement africain : it.
Niveau de preuve : code pays fourni par la source.
Le résumé fourni par la source
The KM3NeT collaboration is constructing two cutting-edge underwater neutrino detectors in the Mediterranean Sea: ARCA, which is optimized for the detection of astrophysical neutrinos, and ORCA, which aims to determine the neutrino mass hierarchy via the observation of atmospheric neutrinos. The increasing size of the detectors results in significant data volumes, requiring effective data processing and management strategies. To address the data handling demands, KM3NeT has implemented a hierarchical computing model similar to that of the LHC experiments, featuring a Tier structure for data processing and distribution. This model enables the integration of diverse computing resources, thereby improving data handling efficiency. KM3NeT has already integrated Snakemake, a contemporary workflow management system, to guarantee portability, reproducibility, and scalability across various computational environments. Snakemake optimizes and automates complex data processing tasks, enhancing flexibility and efficiency in data management. The last year, efforts are focused on integrating Grid Computing resources into the KM3NeT computing model to improve computational capabilities. This integration seeks to address the rigorous needs associated with detector calibration, simulation, reconstruction, and analysis. Grid Computing enables efficient management of workloads, including serial, multi-parallel, and GPU-optimized jobs, while facilitating frequent data transferring and sharing among collaborators. This presentation offers an overview of KM3NeT’s data processing framework, focusing on the implementation of Snakemake and the integration of Grid Computing resources. This discussion will address the challenges faced, the solutions implemented, and the current status of our data handling and computing infrastructure.
Ce résumé expose les affirmations des auteurs. BNTIC ne l’interprète pas comme une validation indépendante des résultats.
Le contrôle bibliographique ouvert
DOI retrouvé dans Crossref DOI retrouvé ; titre concordant.
- Titre Crossref
- Advancing KM3NeT Data Management: Harnessing Snakemake and Grid Computing
- Date Crossref
- 29/01/2026
- Éditeur
- Sissa Medialab
- Type
- proceedings-article
Ce recoupement confirme des métadonnées liées au DOI. Il ne confirme ni la méthode ni les conclusions de l’étude, et il ne compte pas comme une seconde source scientifique indépendante.
Les institutions déclarées
Une affiliation ne permet pas de déduire la nationalité d’un auteur.
Les sujets associés
Scientific Computing and Data ManagementDistributed and Parallel Computing SystemsAdvanced Data Storage Technologies