Zobrazeno 1 - 10
of 19
pro vyhledávání: '"Guilherme da Cunha Rodrigues"'
Autor:
Arthur Francisco Lorenzon, Rumenigue Hohemberger, Marcelo Caggiani Luizelli, Marcos Paulo Konzen, Fabio Diniz Rossi, Guilherme da Cunha Rodrigues, Daniel Chaves Temp
Publikováno v:
ICOIN
High availability and performance are metrics that directly impact the Quality of Experience of cloud service customers. On these environments, several models of elasticity have been used to meet seasonal demands, from the acquisition of additional r
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f31c1ea7521bc33dafc76da8faaded26
https://doi.org/10.1109/icoin48656.2020.9016625
https://doi.org/10.1109/icoin48656.2020.9016625
Autor:
Guilherme da Cunha Rodrigues, Marcelo Caggiani Luizelli, Daniel Chaves Temp, Marcos Paulo Konzen, Luiza Rodrigues Saquette, Rumenigue Hohemberger, Arthur Francisco Lorenzon, Patric Lincon Ramirez Izolan, Fabio Diniz Rossi
Publikováno v:
ICOIN
Agriculture is experiencing a process of modernization enabled by Information and Communications Technology. This process enables improvement in decision-making processes on activities such as planting spacing, fertilization, and irrigation. The amou
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b65db43e48798643a240c040ec1d5025
https://doi.org/10.1109/icoin48656.2020.9016572
https://doi.org/10.1109/icoin48656.2020.9016572
Autor:
Guilherme da Cunha Rodrigues, Tiago Baptista Noronha, Lorenzo de Castro Kersting, Fábio Diniz Rossi, Pedro Guilherme Tassinari Araujo, Luiza Rodrigues Saquette
Publikováno v:
ICOIN
The exponential rise in the number of sensors generating data to the cloud services has boosted studies regarding Internet-of-Things (IoT). In this scenario, a huge problem has arisen: How to accurately deal with this growing demand in processing dev
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::39118697b6347eeda0eacda37c3a815a
https://doi.org/10.1109/icoin48656.2020.9016504
https://doi.org/10.1109/icoin48656.2020.9016504
Autor:
Guilherme da Cunha Rodrigues, Rodrigo N. Calheiros, Fábio Diniz Rossi, Paulo Silas Severo de Souza, Wagner dos Santos Marques
IoT is a new paradigm that enables cloud environments to capture, interpret, and analyze data at a real time from some sensors distributed in the environment and able to act on the environment based on decision-making algorithms. Communication betwee
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f68e787b43de0d5508fd6fdf51ff57e4
https://doi.org/10.4018/978-1-5225-6023-4.ch009
https://doi.org/10.4018/978-1-5225-6023-4.ch009
Autor:
Glederson Lessa dos Santos, Rajkumar Buyya, Rodrigo N. Calheiros, Guilherme da Cunha Rodrigues, Liane Margarida Rockenbach Tarouco, Lisandro Zambenedetti Granville, Vinicius Tavares Guimaraes
Publikováno v:
ISCC
Cloud computing is a suitable solution for professionals, companies, and institutions that need to have access to computational resources on demand. Clouds rely on proper management to provide such computational resources with adequate quality of ser
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ecfa4613450075c6515c6dd0e63236c1
https://doi.org/10.1109/iscc.2018.8538570
https://doi.org/10.1109/iscc.2018.8538570
Autor:
Rodrigo N. Calheiros, Wagner dos Santos Marques, Guilherme da Cunha Rodrigues, Tiago Ferreto, Marcelo da Silva Conterato, Paulo Silas Severo de Souza, Fábio Diniz Rossi
Publikováno v:
ISCC
Virtualization has become a key technology that provides several advantages (e.g., flexibility, migration, isolation) for a plethora of computing infrastructures. However, traditional virtualization models are not suitable for embedded IoT platforms
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1cc49566d0aefd54ecc42bea3255cc3b
https://doi.org/10.1109/iscc.2018.8538602
https://doi.org/10.1109/iscc.2018.8538602
Publikováno v:
Encyclopedia of Big Data Technologies ISBN: 9783319639628
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bb374e2548ff14e9697fb709f41517d0
https://doi.org/10.1007/978-3-319-63962-8_45-1
https://doi.org/10.1007/978-3-319-63962-8_45-1
Autor:
Rodrigo N. Calheiros, Guilherme da Cunha Rodrigues, Fábio Diniz Rossi, Marcelo da Silva Conterato
Publikováno v:
eScience
Big Data concerns processing of large volumes of digital data with high velocity and variety. Big Data technologies allow the analysis of data in real time, which is critical for various eScience applications. In order to meet the growing demand of B
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fb55f95edbdba49f4d8089937bdabf8d
https://doi.org/10.1109/escience.2017.56
https://doi.org/10.1109/escience.2017.56
Autor:
Carla M. D. S. Freitas, Vinicius Tavares Guimaraes, Glederson Lessa dos Santos, Lisandro Zambenedetti Granville, Oscar Mauricio Caicedo Rendon, Liane Margarida Rockenbach Tarouco, Guilherme da Cunha Rodrigues
Publikováno v:
AINA
Information Visualization (InfoVis) is a powerful tool to assist network administrators in daily tasks, and several authors report investigations about visualization techniques for network management. However, we have observed a fundamental issue tha
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::894d1c6077cf9615077fc30e84673541
https://doi.org/10.1109/aina.2017.24
https://doi.org/10.1109/aina.2017.24
Autor:
Guilherme da Cunha Rodrigues, Paulo Silas Severo de Souza, Rodrigo N. Calheiros, Fábio Diniz Rossi, Wagner dos Santos Marques
Publikováno v:
ICOIN
IoT environments are typically composed of hundreds of geographically distributed sensors. Usually, these sensors are not physically protected from unauthorized access, which makes them vulnerable to exploitation where they can be manipulated to send
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ccfefa11e6ea9c8f05e8c8a3d56e058a
https://doi.org/10.1109/icoin.2017.7899541
https://doi.org/10.1109/icoin.2017.7899541