A Cloud-Based Framework for Machine Learning Workloads and Applications

Autor: Alvaro Lopez Garcia, Jesus Marco De Lucas, Marica Antonacci, Wolfgang Zu Castell, Mario David, Marcus Hardt, Lara Lloret Iglesias, Germen Molto, Marcin Plociennik, Viet Tran, Andy S. Alic, Miguel Caballer, Isabel Campos Plasencia, Alessandro Costantini, Stefan Dlugolinsky, Doina Cristina Duma, Giacinto Donvito, Jorge Gomes, Ignacio Heredia Cacha, Keiichi Ito, Valentin Y. Kozlov, Giang Nguyen, Pablo Orviz Fernandez, Zdenek Sustr, Pawel Wolniewicz

Publikováno v: IEEE Access, Vol 8, Pp 18681-18692 (2020)

In this paper we propose a distributed architecture to provide machine learning practitioners with a set of tools and cloud services that cover the whole machine learning development cycle: ranging from the models creation, training, validation and t

Externí odkaz: https://doaj.org/article/39de787ae5514e57996e126117d4770b

An online service for analysing ozone trends within EOSC-synergy

Autor: Tobias Kerzenmacher, Marcus Hardt, Borja Sanchis, Ugur Cayoglu, Peter Braesicke, V. Kozlov

The European Open Science Cloud-Synergy (EOSC-Synergy) project delivers services that serve to expand the use of EOSC. One of these services, O3as, is being developed for scientists using chemistry-climate models to determine time series and eventual

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::98da3226ebecebe9261406bc54388ddb

A cloud-based framework for machine learning workloads and applications

Autor: Viet Tran, Doina Cristina Duma, Stefan Dlugolinsky, L. Lloret Iglesias, V. Kozlov, Zděnek Šustr, Marica Antonacci, Wolfgang zu Castell, Germán Moltó, Pawel Wolniewicz, Andy S. Alic, Miguel Caballer, Jorge Gomes, Marcin Plociennik, Jesús Marco de Lucas, Ignacio Heredia Cacha, Isabel Campos Plasencia, Giang Nguyen, Mario David, Álvaro López García, Marcus Hardt, Keiichi Ito, Alessandro Costantini, Giacinto Donvito, Pablo Orviz Fernández

Publikováno v: Digital.CSIC. Repositorio Institucional del CSIC
instname
IEEE Access, Vol 8, Pp 18681-18692 (2020)
IEEE Access
IEEE access, 8, 18681–18692
IEEE Access 8, 18681-18692 (2020)
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Agência para a Sociedade do Conhecimento (UMIC)-FCT-Sociedade da Informação
instacron:RCAAP

In this paper we propose a distributed architecture to provide machine learning practitioners with a set of tools and cloud services that cover the whole machine learning development cycle: ranging from the models creation, training, validation and t

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7450c35c2ae9e79775d66339c6cb94fb
http://hdl.handle.net/10261/221872

Combinatorial Auction Algorithm Selection for Cloud Resource Allocation Using Machine Learning

Autor: Diana Gudu, Marcus Hardt, Achim Streit

Publikováno v: Euro-Par 2018: Parallel Processing ISBN: 9783319969824
Euro-Par

Demands for flexibility, efficiency and fine-grained control for the allocation of cloud resources have steered the research in this field towards market-inspired approaches. Combinatorial auctions can fulfill these demands, but their inherent \(\mat

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8c27a56c57079f162fc81a217f8fb718
https://publikationen.bibliothek.kit.edu/1000085806

INDIGO-DataCloud: a platform to facilitate seamless access to e-infrastructures

Autor: Sandro Fiore, João Martins, Daniele Spiga, Paola Nassisi, Giacinto Donvito, Alessandro Costa, J. Marco de Lucas, Marcin Plociennik, Tomasz Zok, Andrea Ceccanti, Isabel Campos, Cristina Duma, L. Alves, Marco Antonio Tangaro, João Murta Pina, M. Viljoen, Michal Urbaniak, Marcus Hardt, Luciano Gaido, Davide Salomoni, Y. Chen, Álvaro López-García, Federico Zambelli, Alexandre M. J. J. Bonvin, Louis Antonelli, Lukasz Dutka, Bas Wegh, P. Solagna, Cosimo Palazzo, Luděk Matyska, Eva Sciacca, Mario David, Zeynep Kurkcuoglu, B. Ertl, Davor Davidović, Eva Cetinic, S. Vallero, S. Gallozzi, Valentina Zaccolo, Marica Antonacci, Riccardo Bruno, Fernando Aguilar, P. Fuhrman, S. Bagnasco, Zdeněk Šustr, Germán Moltó, Jorge Gomes, Marco Fargetta, Ignacio Blanquer, Lara Lloret, Alessandra Nuzzo, Pablo Orviz, Roberto Barbera

Publikováno v: RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
instname
Journal of grid computing
Journal of Grid Computing
Journal of grid computing 16(3), 381-408 (2018). doi:10.1007/s10723-018-9453-3
Digital.CSIC. Repositorio Institucional del CSIC
Journal of grid computing 16 (2018): 381–408. doi:10.1007/s10723-018-9453-3
info:cnr-pdr/source/autori:Salomoni D.; Campos I.; Gaido L.; de Lucas J.M.; Solagna P.; Gomes J.; Matyska L.; Fuhrman P.; Hardt M.; Donvito G.; Dutka L.; Plociennik M.; Barbera R.; Blanquer I.; Ceccanti A.; Cetinic E.; David M.; Duma C.; Lopez-Garcia A.; Molto G.; Orviz P.; Sustr Z.; Viljoen M.; Aguilar F.; Alves L.; Antonacci M.; Antonelli L.A.; Bagnasco S.; Bonvin A.M.J.J.; Bruno R.; Chen Y.; Costa A.; Davidovic D.; Ertl B.; Fargetta M.; Fiore S.; Gallozzi S.; Kurkcuoglu Z.; Lloret L.; Martins J.; Nuzzo A.; Nassisi P.; Palazzo C.; Pina J.; Sciacca E.; Spiga D.; Tangaro M.; Urbaniak M.; Vallero S.; Wegh B.; Zaccolo V.; Zambelli F.; Zok T./titolo:INDIGO-DataCloud: a Platform to Facilitate Seamless Access to E-Infrastructures/doi:10.1007%2Fs10723-018-9453-3/rivista:Journal of grid computing/anno:2018/pagina_da:381/pagina_a:408/intervallo_pagine:381–408/volume:16
Journal of Grid Computing, 16(3), 381. Springer Netherlands

Journal of grid computing 16(3), 381 - 408 (2018). doi:10.1007/s10723-018-9453-3
This paper describes the achievements of the H2020 project INDIGO-DataCloud. The project has provided e-infrastructures with tools, applications and cloud framework

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6fff434ecd8e8abf21f03d8fa9b85ad7
http://hdl.handle.net/10261/168382