Packet Routing Analyses Using Probabilistic Data Structures in Multi-Tenant Networks based on Programmable Devices
Data de Publicação: | 2019 |
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Tipo de documento: | Dissertação |
Título da fonte: | Portal de Dados Abertos da CAPES |
Texto Completo: | https://sucupira.capes.gov.br/sucupira/public/consultas/coleta/trabalhoConclusao/viewTrabalhoConclusao.jsf?popup=true&id_trabalho=8004756 |
id |
BRCRIS_37646edd1a18dbe9ac1acfd6ec68cd2a |
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network_acronym_str |
CAPES |
network_name_str |
Portal de Dados Abertos da CAPES |
dc.title.pt-BR.fl_str_mv |
Packet Routing Analyses Using Probabilistic Data Structures in Multi-Tenant Networks based on Programmable Devices |
title |
Packet Routing Analyses Using Probabilistic Data Structures in Multi-Tenant Networks based on Programmable Devices |
spellingShingle |
Packet Routing Analyses Using Probabilistic Data Structures in Multi-Tenant Networks based on Programmable Devices Redes Programáveis Programmable Network |
title_short |
Packet Routing Analyses Using Probabilistic Data Structures in Multi-Tenant Networks based on Programmable Devices |
title_full |
Packet Routing Analyses Using Probabilistic Data Structures in Multi-Tenant Networks based on Programmable Devices |
title_fullStr |
Packet Routing Analyses Using Probabilistic Data Structures in Multi-Tenant Networks based on Programmable Devices Packet Routing Analyses Using Probabilistic Data Structures in Multi-Tenant Networks based on Programmable Devices |
title_full_unstemmed |
Packet Routing Analyses Using Probabilistic Data Structures in Multi-Tenant Networks based on Programmable Devices Packet Routing Analyses Using Probabilistic Data Structures in Multi-Tenant Networks based on Programmable Devices |
title_sort |
Packet Routing Analyses Using Probabilistic Data Structures in Multi-Tenant Networks based on Programmable Devices |
topic |
Redes Programáveis Programmable Network |
publishDate |
2019 |
format |
masterThesis |
url |
https://sucupira.capes.gov.br/sucupira/public/consultas/coleta/trabalhoConclusao/viewTrabalhoConclusao.jsf?popup=true&id_trabalho=8004756 |
author_role |
author |
dc.contributor.advisor1.fl_str_mv |
Rodolfo da Silva Villaca |
dc.contributor.advisor1Lattes.fl_str_mv |
http://lattes.cnpq.br/3755692723547807 |
dc.contributor.advisor1orcid.por.fl_str_mv |
https://orcid.org/0000000280513978 |
dc.publisher.none.fl_str_mv |
UNIVERSIDADE FEDERAL DE SÃO CARLOS |
publisher.none.fl_str_mv |
UNIVERSIDADE FEDERAL DE SÃO CARLOS |
instname_str |
UNIVERSIDADE FEDERAL DE SÃO CARLOS |
dc.publisher.program.fl_str_mv |
Ciência da Computação |
dc.description.course.none.fl_txt_mv |
Ciência da Computação |
reponame_str |
Portal de Dados Abertos da CAPES |
collection |
Portal de Dados Abertos da CAPES |
spelling |
CAPESPortal de Dados Abertos da CAPESPacket Routing Analyses Using Probabilistic Data Structures in Multi-Tenant Networks based on Programmable DevicesPacket Routing Analyses Using Probabilistic Data Structures in Multi-Tenant Networks based on Programmable DevicesPacket Routing Analyses Using Probabilistic Data Structures in Multi-Tenant Networks based on Programmable DevicesPacket Routing Analyses Using Probabilistic Data Structures in Multi-Tenant Networks based on Programmable DevicesPacket Routing Analyses Using Probabilistic Data Structures in Multi-Tenant Networks based on Programmable DevicesPacket Routing Analyses Using Probabilistic Data Structures in Multi-Tenant Networks based on Programmable DevicesPacket Routing Analyses Using Probabilistic Data Structures in Multi-Tenant Networks based on Programmable DevicesRedes Programáveis2019masterThesishttps://sucupira.capes.gov.br/sucupira/public/consultas/coleta/trabalhoConclusao/viewTrabalhoConclusao.jsf?popup=true&id_trabalho=8004756authorRodolfo da Silva Villacahttp://lattes.cnpq.br/3755692723547807https://orcid.org/0000000280513978UNIVERSIDADE FEDERAL DE SÃO CARLOSUNIVERSIDADE FEDERAL DE SÃO CARLOSUNIVERSIDADE FEDERAL DE SÃO CARLOSCiência da ComputaçãoCiência da ComputaçãoPortal de Dados Abertos da CAPESPortal de Dados Abertos da CAPES |
_version_ |
1741886623524585472 |