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INCT 2014: da Internet do Futuro

Processo: 14/50937-1
Modalidade de apoio:Auxílio à Pesquisa - Temático
Vigência: 01 de julho de 2017 - 31 de janeiro de 2024
Área do conhecimento:Ciências Exatas e da Terra - Ciência da Computação
Convênio/Acordo: CNPq - INCTs
Pesquisador responsável:Fabio Kon
Beneficiário:Fabio Kon
Instituição Sede: Instituto de Matemática e Estatística (IME). Universidade de São Paulo (USP). São Paulo , SP, Brasil
Pesquisadores principais:
( Últimos )
Edmundo Roberto Mauro Madeira ; Junior Barrera ; Marcelo Finger ; Markus Endler ; Otto Carlos Muniz Bandeira Duarte ; Roberto Hirata Junior ; Siang Wun Song
Pesquisadores principais:
( Antigos )
Alfredo Goldman vel Lejbman ; Carlos Alberto Kamienski ; Fabio Kon ; Luiz Fernando Bittencourt ; Marco Aurélio Gerosa
Auxílios(s) vinculado(s):17/16743-3 - Imaginário: construir e habitar a Terra - cidades "inteligentes" e poéticas urbanas, PUB.LVR.BR
17/19850-5 - 8th Workshop on Applications for Multi-core Architectures - WAMCA, AR.BR
Bolsa(s) vinculada(s):23/02399-0 - Sequenciamento de pousos e decolagens de drones em centros de distribuição, BP.IC
23/00176-3 - Política de bonificação a ciclistas: Um estudo de caso na cidade de São Paulo., BP.IC
22/06211-2 - Aprendizado de máquina via espaços de aprendizado, da teoria para a prática: como a falta de dados pode ser mitigada por alto poder computacional, BP.PD
+ mais bolsas vinculadas 22/07594-2 - Computação e internet quântica, BP.IC
22/05036-2 - Próxima geração de bundling: abordando dados multivariados e visualizando erros, BP.MS
22/02534-1 - Desenvolvimento de dashboard interativo para análise de fluxos de pacientes em internações hospitalares no SUS, BP.TT
21/10234-5 - Técnicas adaptativas de detecção de intrusão para cidades inteligentes baseadas em internet das coisas, BP.PD
21/10647-8 - Um sistema de resposta de emergência usando redes veiculares heurísticas assistidas por redes em névoa para cidades inteligentes, BP.PD
21/09285-4 - Previsão de fluxos urbanos de bicicletas utilizando aprendizado de máquina, BP.IC
21/04266-1 - Comparação de hashes criptográficos com animações, BP.IC
21/05505-0 - Políticas públicas para a mobilidade ativa: evidências para transição para a sustentabilidade urbana, BP.PD
21/05253-0 - Fatiamento dinâmico de redes 5G para usuários móveis, BP.TT
20/16763-7 - Streaming de video multi-tier de nova geração, BP.IC
20/16577-9 - SortingHat: uma ferramenta para caracterização de Arquitetura baseada em serviços, BP.IC
20/15990-0 - Extração de características urbanas a partir de imagens a nível de rua, BP.IC
19/21903-5 - Network Slicing em redes de acesso a rádio baseadas em computação em nuvem e névoa suportadas por redes ópticas, BP.TT
19/09258-7 - Implementação de plataforma para integração e análise dos dados do SUS, com o uso de ontologias e datawarehouse, BP.TT
18/08505-8 - Gestão e ampliação das funcionalidades da plataforma InterSCity para cidades inteligentes, BP.TT
18/02204-6 - Transmissão de vídeo eficiente e resiliente em cidades inteligentes, BP.PD - menos bolsas vinculadas
Assunto(s):Engenharia de software  Redes e comunicação de dados  Computação em nuvem  Computação móvel  Big data  Internet  Internet das coisas  Cidades inteligentes  Middleware  Modelos matemáticos  Institutos de pesquisa 
Palavra(s)-Chave do Pesquisador:Computacao

Resumo

As transformações radicais nas formas de comunicação humana possibilitadas pela internet na última década do século passado têm sido tanto refinadas quanto expandidas neste início de século 21, impactando a vida de grande parte da população mundial. Recentemente, com a popularização das tecnologias da computação em nuvem e da computação móvel e com o crescente uso de redes de sensores e de tecnologias de big data, uma infinidade de novas possibilidades estão surgindo. Essa convergência de tecnologias aliada às necessidades e preocupações relativas às aplicações digitais do futuro levaram pesquisadores a propor novas abordagens de investigação científica e tecnológica que possibilitem o desenvolvimento da "internet do futuro". A internet do futuro será resultante da convergência da computação móvel com a computação em nuvem, integrará sistemas de grande porte construídos a partir da composição de milhares de serviços distribuídos, executados em uma grande quantidade de máquinas físicas e virtuais, manipulando grandes quantidades de dados multimídia gerados a partir de várias fontes e interagindo diretamente com o mundo físico através de sensores e atuadores da internet das coisas. Essa internet do futuro será o elemento chave que possibilitará a realização das cidades inteligentes, nas quais a infraestrutura urbana será utilizada em sua plenitude de modo a oferecer uma melhor qualidade de vida aos seus habitantes. A cidade inteligente do futuro fará uso de telefones celulares e outros aparelhos de uso pessoal em conjunto com sensores e sistemas embutidos na infraestrutura física da cidade, todos interconectados via Internet. De forma descentralizada, mas coordenada, toda essa ciber infraestrutura oferecerá o suporte para a gestão otimizada da cidade. As plataformas de software da cidade inteligente contribuirão não só para o dia a dia das cidades, mas também para o planejamento de longo prazo e para a concepção de políticas públicas. A fim de atacar os desafios científicos e tecnológicos e oferecer soluções inovadoras para os problemas em torno da internet do futuro e das cidades inteligentes, o instituto aqui proposto irá desenvolver pesquisa científica e tecnológica e atividades de ensino, difusão, colaboração internacional e extensão abrangendo as diferentes camadas que compõem a Internet, colaborando com o desenvolvimento da internet do futuro e contribuindo com a concretização das cidades inteligentes, com especial foco em problemas de mobilidade. A pesquisa irá abordar a infraestrutura básica, middleware e serviços e aplicações da internet do futuro e será dividida em três linhas de pesquisa fundamentais: (1) redes e computação distribuída de alto desempenho (2) engenharia de software para internet do futuro e (3) análise e modelagem matemática para internet do futuro e cidades inteligentes. Os resultados científicos e tecnológicos do INCT serão validados por meio de aplicações em cidades inteligentes: haverá uma aplicação de referência principal no contexto de mobilidade urbana e transportes enquanto que três outras aplicações mais simples (nas áreas de acessibilidade, saúde e artes) auxiliarão na generalização dos resultados. A pesquisa será conduzida por um time de cientistas de alto nível de 12 instituições brasileiras da academia, indústria e governo que já tem histórico de colaborações de sucesso e possuem as habilidades necessárias para a produção de conhecimento com grande potencial de impacto na ciência e na sociedade. O INCT irá gerar software livre inovador, que poderá ser utilizado por governos, empresas e pesquisadores, publicações em veículos de primeira linha, recursos humanos de alto nível, colaborações científicas internacionais, educação universitária e treinamento de pessoal de empresas e governo, divulgação científica para a sociedade em geral e transferência de tecnologia, tanto para grandes empresas quanto para startups. (AU)

Matéria(s) publicada(s) na Revista Pesquisa FAPESP sobre o auxílio::
El futuro de la movilidad con los coches autónomos 
O futuro da mobilidade com carros autônomos 
Na onda da música e da tecnologia 
Matéria(s) publicada(s) na Agência FAPESP sobre o auxílio:
Matéria(s) publicada(s) em Outras Mídias (0 total):
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Publicações científicas (137)
(Referências obtidas automaticamente do Web of Science e do SciELO, por meio da informação sobre o financiamento pela FAPESP e o número do processo correspondente, incluída na publicação pelos autores)
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DEL ESPOSTE, ARTHUR DE M.; SANTANA, EDUARDO F. Z.; KANASHIRO, LUCAS; COSTA, FABIO M.; BRAGHETTO, KELLY R.; LAGO, NELSON; KON, FABIO. Design and evaluation of a scalable smart city software platform with large-scale simulations. FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE, v. 93, p. 427-441, . (14/50937-1, 15/24485-9)
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JACOBS, ARTHUR SELLE; PITSCHER, RICARDO JOSE; FERREIRA, RONALDO ALVES; GRANVILLE, LISANDRO ZAMBENEDETTI. Refining Network Intents for Self-Driving Networks. ACM SIGCOMM COMPUTER COMMUNICATION REVIEW, v. 48, n. 5, p. 55-63, . (14/50937-1, 15/24485-9)
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MOSAIYEBZADEH, FATEMEH; POURIYEH, SEYEDAMIN; PARIZI, REZA M.; SHENG, QUAN Z.; HAN, MENG; ZHAO, LIANG; SANNINO, GIOVANNA; RANIERI, CAETANO MAZZONI; UEYAMA, JO; BATISTA, DANIEL MACEDO. Privacy-Enhancing Technologies in Federated Learning for the Internet of Healthcare Things: A Survey. ELECTRONICS, v. 12, n. 12, p. 28-pg., . (21/10921-2, 14/50937-1, 15/24485-9, 13/07375-0)
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