Hybridity in practice: Responding to water insecurity in São Paulo, Dhaka and Cairo

Autor: Sally Cawood, Noura Wahby, Luciana Nicolau Ferrara

Publikováno v: Water Alternatives, Vol 15, Iss 3, Pp 688-708 (2022)

This paper examines everyday practices of self-construction and connection, negotiation, and selfdisconnection of, and from, formal and informal water infrastructure and services in three global cities – São Paulo, Dhaka, and Cairo. While each ci

Externí odkaz: https://doaj.org/article/686f8215773940e191de897440c1b05a

Data Processing Model to Perform Big Data Analytics in Hybrid Infrastructures

Autor: Gabriel J. A. Grabher, Guilherme A. Borges, Jorge Luis Victória Barbosa, Valderi Reis Quietinho Leithardt, Cláudio F. R. Geyer, Kassiano J. Matteussi, Gabriel Villarrubia González, Julio C. S. dos Anjos, Paulo R. R. De Souza

Publikováno v: Repositório Científico de Acesso Aberto de Portugal
Repositório Científico de Acesso Aberto de Portugal (RCAAP)
instacron:RCAAP
IEEE Access, Vol 8, Pp 170281-170294 (2020)

Big Data applications are present in many areas such as financial markets, search engines, stream services, health care, social networks, and so on. Data analysis provides value to information for organizations. Classical Cloud Computing represents a

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2738fafab9cbe8dbcf13884edf6a837f

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A virtualized software based on the NVIDIA cuFFT library for image denoising:performance analysis

Autor: Vincenzo Santopietro, Ardelio Galletti, Sokol Kosta, Raffaele Montella, Livia Marcellino

Publikováno v: Galletti, A, Marcellino, L, Montella, R, Santopietro, V & Kosta, S 2017, ' A virtualized software based on the NVIDIA cuFFT library for image denoising : performance analysis ', Procedia Computer Science, vol. 113, pp. 496-501 . https://doi.org/10.1016/j.procs.2017.08.310
EUSPN/ICTH

Generic Virtualization Service (GVirtuS) is a new solution for enabling GPGPU on Virtual Machines or low powered devices. This paper focuses on the performance analysis that can be obtained using a GPGPU virtualized software. Recently, GVirtuS has be

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1e0b2e102a8eb257ed478f404e6a5dea
https://vbn.aau.dk/ws/files/290935291/1_s2.0_S1877050917317209_main.pdf

Towards Scalable Data Management for Map-Reduce-based Data-Intensive Applications on Cloud and Hybrid Infrastructures

Autor: Gabriel Antoniu, Julien Bigot, Christophe Blanchet, Luc Bougé, François Briant, Franck Cappello, Alexandru Costan, Frédéric Desprez, Gilles Fedak, Sylvain Gault, Kate Keahey, Bogdan Nicolae, Christian Pérez, Anthony Simonet, Frédéric Suter, Bing Tang, Raphael Terreux

Publikováno v: 1st International IBM Cloud Academy Conference-ICA CON 2012
1st International IBM Cloud Academy Conference-ICA CON 2012, Apr 2012, Research Triangle Park, North Carolina, United States
IJCC-International Journal of Cloud Computing
IJCC-International Journal of Cloud Computing, 2013, 2 (2/3), ⟨10.1504/IJCC.2013.055265⟩
HAL
IJCC-International Journal of Cloud Computing, Inderscience Publishers, 2013, 2 (2/3), ⟨10.1504/IJCC.2013.055265⟩

International audience; As Map-Reduce emerges as a leading programming paradigm for data-intensive computing, today's frameworks which support it still have substantial shortcomings that limit its potential scalability. In this paper we discuss sever

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::322a0d1e9be16728dee406d1bab25d0d
https://inria.hal.science/hal-00684866