Big Data Research Infrastructure Collaboration Toward the SKA (BRICSKA)

Detalhes bibliográficos
Autor(a) principal: TAYLOR,RUSS
Data de Publicação: 2021
Outros Autores: PORTO,FABIO, CUI,CHENZHOU, WADADEKAR,YOGESH, MALKOV,OLEG
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Anais da Academia Brasileira de Ciências (Online)
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0001-37652021000200414
Resumo: Abstract Astronomy is entering an era of mega-data that will render conventional research methods as well as data and visual analytics tools ineffective. The Square Kilometre Array (SKA) drives one of the most significant big data challenges of the next decades. South Africa, China and India are partners in the global SKA collaboration and host recently completed, next generation radio astronomy facilities. South Africa, Brazil, China and India are involved in the Large Synoptic Survey Telescope (LSST), which represents a complementary mega-data challenge, vastly increasing the current data volume of optical surveys, and providing critical multi-wavelength data set for SKA analytics. Russian researchers are also engaged in radio astronomy and multi-wavelength, multi-messenger projects driving increasing volumes of observational data. This project brings together teams leading programs in data innovation in each partner country to collaborate on the development of new technologies and systems to meet the big data challenge of SKA pathfinder facilities and the multi-wavelength projects that are critical to the advance of astronomy. In so doing we will prototype and demonstrate scalable big data technologies for the new big data era, and establish a BRICS multinational federated data intensive cloud network for collaborative programs in data intensive astronomy.
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spelling Big Data Research Infrastructure Collaboration Toward the SKA (BRICSKA)BRICSSKAbig datalarge surveysAbstract Astronomy is entering an era of mega-data that will render conventional research methods as well as data and visual analytics tools ineffective. The Square Kilometre Array (SKA) drives one of the most significant big data challenges of the next decades. South Africa, China and India are partners in the global SKA collaboration and host recently completed, next generation radio astronomy facilities. South Africa, Brazil, China and India are involved in the Large Synoptic Survey Telescope (LSST), which represents a complementary mega-data challenge, vastly increasing the current data volume of optical surveys, and providing critical multi-wavelength data set for SKA analytics. Russian researchers are also engaged in radio astronomy and multi-wavelength, multi-messenger projects driving increasing volumes of observational data. This project brings together teams leading programs in data innovation in each partner country to collaborate on the development of new technologies and systems to meet the big data challenge of SKA pathfinder facilities and the multi-wavelength projects that are critical to the advance of astronomy. In so doing we will prototype and demonstrate scalable big data technologies for the new big data era, and establish a BRICS multinational federated data intensive cloud network for collaborative programs in data intensive astronomy.Academia Brasileira de Ciências2021-01-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0001-37652021000200414Anais da Academia Brasileira de Ciências v.93 suppl.1 2021reponame:Anais da Academia Brasileira de Ciências (Online)instname:Academia Brasileira de Ciências (ABC)instacron:ABC10.1590/0001-3765202120201027info:eu-repo/semantics/openAccessTAYLOR,RUSSPORTO,FABIOCUI,CHENZHOUWADADEKAR,YOGESHMALKOV,OLEGeng2021-05-24T00:00:00Zoai:scielo:S0001-37652021000200414Revistahttp://www.scielo.br/aabchttps://old.scielo.br/oai/scielo-oai.php||aabc@abc.org.br1678-26900001-3765opendoar:2021-05-24T00:00Anais da Academia Brasileira de Ciências (Online) - Academia Brasileira de Ciências (ABC)false
dc.title.none.fl_str_mv Big Data Research Infrastructure Collaboration Toward the SKA (BRICSKA)
title Big Data Research Infrastructure Collaboration Toward the SKA (BRICSKA)
spellingShingle Big Data Research Infrastructure Collaboration Toward the SKA (BRICSKA)
TAYLOR,RUSS
BRICS
SKA
big data
large surveys
title_short Big Data Research Infrastructure Collaboration Toward the SKA (BRICSKA)
title_full Big Data Research Infrastructure Collaboration Toward the SKA (BRICSKA)
title_fullStr Big Data Research Infrastructure Collaboration Toward the SKA (BRICSKA)
title_full_unstemmed Big Data Research Infrastructure Collaboration Toward the SKA (BRICSKA)
title_sort Big Data Research Infrastructure Collaboration Toward the SKA (BRICSKA)
author TAYLOR,RUSS
author_facet TAYLOR,RUSS
PORTO,FABIO
CUI,CHENZHOU
WADADEKAR,YOGESH
MALKOV,OLEG
author_role author
author2 PORTO,FABIO
CUI,CHENZHOU
WADADEKAR,YOGESH
MALKOV,OLEG
author2_role author
author
author
author
dc.contributor.author.fl_str_mv TAYLOR,RUSS
PORTO,FABIO
CUI,CHENZHOU
WADADEKAR,YOGESH
MALKOV,OLEG
dc.subject.por.fl_str_mv BRICS
SKA
big data
large surveys
topic BRICS
SKA
big data
large surveys
description Abstract Astronomy is entering an era of mega-data that will render conventional research methods as well as data and visual analytics tools ineffective. The Square Kilometre Array (SKA) drives one of the most significant big data challenges of the next decades. South Africa, China and India are partners in the global SKA collaboration and host recently completed, next generation radio astronomy facilities. South Africa, Brazil, China and India are involved in the Large Synoptic Survey Telescope (LSST), which represents a complementary mega-data challenge, vastly increasing the current data volume of optical surveys, and providing critical multi-wavelength data set for SKA analytics. Russian researchers are also engaged in radio astronomy and multi-wavelength, multi-messenger projects driving increasing volumes of observational data. This project brings together teams leading programs in data innovation in each partner country to collaborate on the development of new technologies and systems to meet the big data challenge of SKA pathfinder facilities and the multi-wavelength projects that are critical to the advance of astronomy. In so doing we will prototype and demonstrate scalable big data technologies for the new big data era, and establish a BRICS multinational federated data intensive cloud network for collaborative programs in data intensive astronomy.
publishDate 2021
dc.date.none.fl_str_mv 2021-01-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0001-37652021000200414
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0001-37652021000200414
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/0001-3765202120201027
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv text/html
dc.publisher.none.fl_str_mv Academia Brasileira de Ciências
publisher.none.fl_str_mv Academia Brasileira de Ciências
dc.source.none.fl_str_mv Anais da Academia Brasileira de Ciências v.93 suppl.1 2021
reponame:Anais da Academia Brasileira de Ciências (Online)
instname:Academia Brasileira de Ciências (ABC)
instacron:ABC
instname_str Academia Brasileira de Ciências (ABC)
instacron_str ABC
institution ABC
reponame_str Anais da Academia Brasileira de Ciências (Online)
collection Anais da Academia Brasileira de Ciências (Online)
repository.name.fl_str_mv Anais da Academia Brasileira de Ciências (Online) - Academia Brasileira de Ciências (ABC)
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