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pro vyhledávání: '"Rosendo, Daniel"'
Autor:
Rosendo, Daniel, Keahey, Kate, Costan, Alexandru, Simonin, Matthieu, Valduriez, Patrick, Antoniu, Gabriel
Publikováno v:
ACM REP '23: ACM Conference on Reproducibility and Replicability, Jun 2023, Santa Cruz, California, United States. pp.62-73
Distributed infrastructures for computation and analytics are now evolving towards an interconnected ecosystem allowing complex scientific workflows to be executed across hybrid systems spanning from IoT Edge devices to Clouds, and sometimes to super
Externí odkaz:
http://arxiv.org/abs/2307.12796
Autor:
Rosendo, Daniel, Mattoso, Marta, Costan, Alexandru, Souza, Renan, Pina, Débora, Valduriez, Patrick, Antoniu, Gabriel
Publikováno v:
Cluster 2023 - IEEE International Conference on Cluster Computing, Oct 2023, Santa Fe, New Mexico, United States
Modern scientific workflows require hybrid infrastructures combining numerous decentralized resources on the IoT/Edge interconnected to Cloud/HPC systems (aka the Computing Continuum) to enable their optimized execution. Understanding and optimizing
Externí odkaz:
http://arxiv.org/abs/2307.10658
Autor:
da Silva, Rafael Ferreira, Badia, Rosa M., Bala, Venkat, Bard, Debbie, Bremer, Peer-Timo, Buckley, Ian, Caino-Lores, Silvina, Chard, Kyle, Goble, Carole, Jha, Shantenu, Katz, Daniel S., Laney, Daniel, Parashar, Manish, Suter, Frederic, Tyler, Nick, Uram, Thomas, Altintas, Ilkay, Andersson, Stefan, Arndt, William, Aznar, Juan, Bader, Jonathan, Balis, Bartosz, Blanton, Chris, Braghetto, Kelly Rosa, Brodutch, Aharon, Brunk, Paul, Casanova, Henri, Lierta, Alba Cervera, Chigu, Justin, Coleman, Taina, Collier, Nick, Colonnelli, Iacopo, Coppens, Frederik, Crusoe, Michael, Cunningham, Will, Kinoshita, Bruno de Paula, Di Tommaso, Paolo, Doutriaux, Charles, Downton, Matthew, Elwasif, Wael, Enders, Bjoern, Erdmann, Chris, Fahringer, Thomas, Figueiredo, Ludmilla, Filgueira, Rosa, Foltin, Martin, Fouilloux, Anne, Gadelha, Luiz, Gallo, Andy, Saez, Artur Garcia, Garijo, Daniel, Gerlach, Roman, Grant, Ryan, Grayson, Samuel, Grubel, Patricia, Gustafsson, Johan, Hayot-Sasson, Valerie, Hernandez, Oscar, Hilbrich, Marcus, Justine, AnnMary, Laflotte, Ian, Lehmann, Fabian, Luckow, Andre, Luettgau, Jakob, Maheshwari, Ketan, Matsuda, Motohiko, Medic, Doriana, Mendygral, Pete, Michalewicz, Marek, Nonaka, Jorji, Pawlik, Maciej, Pottier, Loic, Pouchard, Line, Putz, Mathias, Radha, Santosh Kumar, Ramakrishnan, Lavanya, Ristov, Sashko, Romano, Paul, Rosendo, Daniel, Ruefenacht, Martin, Rycerz, Katarzyna, Saurabh, Nishant, Savchenko, Volodymyr, Schulz, Martin, Simpson, Christine, Sirvent, Raul, Skluzacek, Tyler, Soiland-Reyes, Stian, Souza, Renan, Sukumar, Sreenivas Rangan, Sun, Ziheng, Sussman, Alan, Thain, Douglas, Titov, Mikhail, Tovar, Benjamin, Tripathy, Aalap, Turilli, Matteo, Tuznik, Bartosz, van Dam, Hubertus, Vivas, Aurelio, Ward, Logan, Widener, Patrick, Wilkinson, Sean, Zawalska, Justyna, Zulfiqar, Mahnoor
Scientific workflows have become integral tools in broad scientific computing use cases. Science discovery is increasingly dependent on workflows to orchestrate large and complex scientific experiments that range from execution of a cloud-based data
Externí odkaz:
http://arxiv.org/abs/2304.00019
Publikováno v:
Journal of Parallel and Distributed Computing, Elsevier, 2022, 166, pp.71-94
The explosion of data volumes generated by an increasing number of applications is strongly impacting the evolution of distributed digital infrastructures for data analytics and machine learning (ML). While data analytics used to be mainly performed
Externí odkaz:
http://arxiv.org/abs/2205.01081
Publikováno v:
Conf{\'e}rence sur la Gestion de Donn{\'e}es -- Principles, Technologies et Applications, Oct 2021, Paris, France
Distributed digital infrastructures for computation and analytics are now evolving towards an interconnected ecosystem allowing complex applications to be executed from IoT Edge devices to the HPC Cloud (aka the Computing Continuum, the Digital Conti
Externí odkaz:
http://arxiv.org/abs/2109.01379
Autor:
Rosendo, Daniel, Costan, Alexandru, Antoniu, Gabriel, Simonin, Matthieu, Lombardo, Jean-Christophe, Joly, Alexis, Valduriez, Patrick
Publikováno v:
Cluster 2021 - IEEE International Conference on Cluster Computing, Sep 2021, Portland, OR, United States
In more and more application areas, we are witnessing the emergence of complex workflows that combine computing, analytics and learning. They often require a hybrid execution infrastructure with IoT devices interconnected to cloud/HPC systems (aka Co
Externí odkaz:
http://arxiv.org/abs/2108.04033
Autor:
ROSENDO, Daniel
Publikováno v:
Repositório Institucional da UFPEUniversidade Federal de PernambucoUFPE.
Submitted by Pedro Barros (pedro.silvabarros@ufpe.br) on 2018-08-01T19:37:51Z No. of bitstreams: 2 license_rdf: 811 bytes, checksum: e39d27027a6cc9cb039ad269a5db8e34 (MD5) DISSERTAÇÃO Daniel Rosendo.pdf: 3709439 bytes, checksum: cfcbfd0960c6e9bae38
Externí odkaz:
https://repositorio.ufpe.br/handle/123456789/25356
Autor:
Rosendo, Daniel
Publikováno v:
Distributed, Parallel, and Cluster Computing [cs.DC]. INSA RENNES, 2023. English. ⟨NNT : ⟩
Distributed infrastructures for computation and analytics are now evolving towards an interconnected ecosystem allowing complex applications to be executed on the Edge-to-Cloud continuum. Understanding and optimizing end-to-end performance in such a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______2755::5b5a7e8298da1d51c25750d20698048a
https://hal.science/tel-04167278/file/main.pdf
https://hal.science/tel-04167278/file/main.pdf
Autor:
Rosendo, Daniel1 (AUTHOR) daniel.rosendo@gprt.ufpe.br, Gomes, Demis1 (AUTHOR) demis.gomes@gprt.ufpe.br, Santos, Guto Leoni1 (AUTHOR) guto.leoni@gprt.ufpe.br, Goncalves, Glauco2 (AUTHOR) glauco.goncalves@ufrpe.br, Moreira, Andre1 (AUTHOR) andre@gprt.ufpe.br, Ferreira, Leylane1 (AUTHOR) leylane.silva@gprt.ufpe.br, Endo, Patricia Takako3 (AUTHOR) patriciaendo@gmail.com, Kelner, Judith1 (AUTHOR) jk@gprt.ufpe.br, Sadok, Djamel1 (AUTHOR) jamel@gprt.ufpe.br, Mehta, Amardeep4 (AUTHOR) amardeep.mehta@ericsson.com, Wildeman, Mattias4 (AUTHOR) mattias.wildeman@ericsson.com
Publikováno v:
Journal of Supercomputing. Oct2019, Vol. 75 Issue 10, p6361-6385. 25p.
Akademický článek
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