Výsledky vyhledávání - "Machado, Javam de Castro"

Dissertation/ Thesis

Um modelo de dados para ambientes de projeto

Autor: Machado, Javam de Castro

Publikováno v: Biblioteca Digital de Teses e Dissertações da UFRGSUniversidade Federal do Rio Grande do SulUFRGS.

A aplicação de projeto é comumente classificada como uma aplicação não-convencional. Como tal, apresenta requerimentos no tratamento dos dados que os bancos de dados comercialmente disponíveis não conseguem satisfazer /SID 80/. A estruturaç�

Externí odkaz: http://hdl.handle.net/10183/26696

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Local dampening: differential privacy for non-numeric queries via local sensitivity

Autor: Farias, Victor Aguiar Evangelista de

Publikováno v: Repositório Institucional da Universidade Federal do Ceará (UFC)
Universidade Federal do Ceará (UFC)
instacron:UFC

Differential privacy is the state-of-the-art formal definition for data release under strong privacy guarantees. A variety of mechanisms has been proposed in the literature for releasing the output of numeric queries (e.g., the Laplace mechanism and

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od______3056::0ad4fa9dc7c5561acdaf29b45c9ca3f6
http://www.repositorio.ufc.br/handle/riufc/59462

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MOON: An approach to data management on relational database and blockchain

Autor: Marinho, Carlos Sérgio da Silva

Publikováno v: Repositório Institucional da Universidade Federal do Ceará (UFC)
Universidade Federal do Ceará (UFC)
instacron:UFC

The Relational model has been used widely for decades and was valuable for the popularization of the use of Databases. Nowadays, many applications of several domains continue to be data-oriented, but alternatives to the Relational model have been sol

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od______3056::b0352340e1d38502e5295aa7e923d438
http://www.repositorio.ufc.br/handle/riufc/57042

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Refining cardinality estimates in query processing

Autor: Praciano, Francisco Daniel Bezerra de Souza

Publikováno v: Repositório Institucional da Universidade Federal do Ceará (UFC)
Universidade Federal do Ceará (UFC)
instacron:UFC

Database Management Systems (DBMSs) make use of a declarative language in order to allow queries to stored data to be performed. In this approach, users describe through a textual query what they want to get from DBMSs, leaving them to define how dat

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od______3056::a054f804fb522f5a0bd8db1831cf6b2d
http://www.repositorio.ufc.br/handle/riufc/54406

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A data privacy approach on location based services

Autor: Duarte Neto, Eduardo Rodrigues

Publikováno v: Repositório Institucional da Universidade Federal do Ceará (UFC)
Universidade Federal do Ceará (UFC)
instacron:UFC

The increasing popularity of mobile devices with Internet connectivity and the presence of global positioning systems (GPS) as a standard component have provided the increasing emergence of location-based services (LBS). As a consequence, a large amo

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od______3056::e4fd7d500e6e34eb9b550d1faf378d32
http://www.repositorio.ufc.br/handle/riufc/47042

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An adaptive replica placement approach for distributed key-value stores

Autor: Costa Filho, José Serafim da

Publikováno v: Repositório Institucional da Universidade Federal do Ceará (UFC)
Universidade Federal do Ceará (UFC)
instacron:UFC

The use of distributed key-value stores (KVS) has experienced fast adoption by various types of applications in recent years due to key advantages such as HTTP-based RESTful APIs, high availability and elasticity. Due to great scalability characteris

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od______3056::a97123d0fd118254a88da4d2e69b14b7
http://www.repositorio.ufc.br/handle/riufc/46964

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GPS2GR: Optimized urban green routes based on GPS trajectories

Autor: Almeida, Antônio Manoel Ribeiro de

Publikováno v: Repositório Institucional da Universidade Federal do Ceará (UFC)
Universidade Federal do Ceará (UFC)
instacron:UFC

This work proposes a computationally feasible optimization method (offline) that optimizes the global flow of vehicles through traffic signal programming that encourages the formation of vehicle convoys traveling in a green wave by frequent routes us

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od______3056::c981c555121b0a2fb38c242146a86ff9
http://www.repositorio.ufc.br/handle/riufc/36010

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SmartLTM: Larger-than-memory database storage for hybrid database systems

Autor: Amora, Paulo Roberto Pessoa

Publikováno v: Repositório Institucional da Universidade Federal do Ceará (UFC)
Universidade Federal do Ceará (UFC)
instacron:UFC

Random access memory (RAM) is a valuable resource in computer systems, but as time passes, computer systems allow for more memory and it is becoming more affordable. Main-memory DBMS can offer hybrid and evolving storage architectures, instead of the

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od______3056::42bb26441b0afafe089d9268da439694
http://www.repositorio.ufc.br/handle/riufc/42180

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PIPE: A predictor of travel times using continuous trajectory flow

Autor: Nascimento, Samara Martins

Publikováno v: Repositório Institucional da Universidade Federal do Ceará (UFC)
Universidade Federal do Ceará (UFC)
instacron:UFC

Traffic patterns or traffic anomalies can be understood from analyzes related to moving objects. These analyzes can be performed both in historical context, as in real time, allowing you to see about traffic, capturing or detecting its changes, dynam

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od______3056::94eb37bd788efe2fd76da1361ea337ae
http://www.repositorio.ufc.br/handle/riufc/38808

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Autor: Cavalcante, Denis Morais

Publikováno v: Repositório Institucional da Universidade Federal do Ceará (UFC)
Universidade Federal do Ceará (UFC)
instacron:UFC

Distributed key-value stores (KVS) are a well-established approach for cloud data-intensive applications, but they were not designed to consider workloads with data access skew, mainly caused by popular data. In this work, we analyze the problem of r

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od______3056::a7f6d9df07e152857313eab761b5717e
http://www.repositorio.ufc.br/handle/riufc/38852

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