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de interesse
Detalhes

Detalhes

  • Nome

    Ricardo Pereira Vilaça
  • Cargo

    Investigador Auxiliar
  • Desde

    01 novembro 2011
  • Nacionalidade

    Portugal
  • Contactos

    +351253604440
    ricardo.p.vilaca@inesctec.pt
002
Publicações

2020

Black-box inter-application traffic monitoring for adaptive container placement

Autores
Neves, F; Vilaça, R; Pereira, J;

Publicação
Proceedings of the 35th Annual ACM Symposium on Applied Computing

Abstract

2019

d'Artagnan: A Trusted NoSQL Database on Untrusted Clouds

Autores
Pontes, R; Maia, F; Vilaca, R; Machado, N;

Publicação
2019 38th Symposium on Reliable Distributed Systems (SRDS)

Abstract

2018

Parallel Polyglot Query Processing on Heterogeneous Cloud Data Stores with LeanXcale

Autores
Kolev, B; Levchenko, O; Pacitti, E; Valduriez, P; Vilaca, R; Goncalves, R; Jimenez-Peris, R; Kranas, P;

Publicação
2018 IEEE International Conference on Big Data (Big Data)

Abstract

2017

Performance trade-offs on a secure multi-party relational database

Autores
Pontes, R; Pinto, M; Barbosa, M; Vilaça, R; Matos, M; Oliveira, R;

Publicação
Proceedings of the Symposium on Applied Computing, SAC 2017, Marrakech, Morocco, April 3-7, 2017

Abstract

2017

Prepared scan: efficient retrieval of structured data from HBase

Autores
Neves, F; Vilaça, R; Pereira, JO; Oliveira, R;

Publicação
Proceedings of the Symposium on Applied Computing, SAC 2017, Marrakech, Morocco, April 3-7, 2017

Abstract
The ability of NoSQL systems to scale better than traditional relational databases motivates a large set of applications to migrate their data to NoSQL systems, even without aiming to exploit the provided schema exibility. However, accessing structured data is costly due to such exibility, incurring in a lot of bandwidth and processing unit usage. In this paper, we analyse this cost in Apache HBase and propose a new scan operation, named Prepared Scan, that optimizes the access to data structured in a regular manner by taking advantage of a well-known schema by application. Using an industry standard benchmark, we show that Prepared Scan improves throughput up to 29% and decreases network bandwidth consumption up to 20%. © 2017 ACM.

Teses
supervisionadas

2019

Trade-offs between privacy and efficiency on databases

Autor
Rogério António da Costa Pontes

Instituição
UP-FCUP

2016

Secure multi party computation trade-offs in distritubed databases

Autor
Rogério António da Costa Pontes

Instituição
UP-FCUP

2016

Holistic performance and scalability analysis for large scale distributed systems

Autor
Francisco Nuno Teixeira Neves

Instituição
UM

2015

Replicação de base de dados baseada em comunicação em grupo

Autor
João Pedro Lopes Miranda

Instituição
UM

2015

Análise de desempenho e otimização do Apache HBase para dados relacionais

Autor
Francisco Nuno Teixeira Neves

Instituição
UM