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About

I am currently an invited professor and assistant researcher at INESC TEC and University of Minho. I have obtained a PhD degree in Computer Science from the MAP-i Doctoral Program in Computer Science. Currently, I am working on large scale distributed systems with an emphasis on storage and database systems’ scalability, performance, security and dependability. Also, I am interested on the applicability of this research work for solving complex data management challenges for Cloud Computing and HPC centres.

I am the coordinator of the PAStor PT-UTAustin exploratory project and the “Efficient and Secure Data Management for HPC and Cloud Computing” CENTRA project, while leading INESC TEC’s activities on the Compete2020 BigHPC project and ACTPM PT-UTAustin exploratory project. Also, I have several publications in renowned journals and international conferences (e.g., ACM Computing Surveys, IEEE Transactions on Computers, ACM Transactions on Storage, Eurosys, SRDS, SYSTOR).

For more information you can check my personal web page at https://jtpaulo.github.io, as well as, HASLab's research lines on the topics mentioned above: https://dsr-haslab.github.io and https://dbr-haslab.github.io

Interest
Topics
Details

Details

  • Name

    João Tiago Paulo
  • Cluster

    Computer Science
  • Role

    Senior Researcher
  • Since

    01st November 2011
006
Publications

2021

GenoDedup: Similarity-Based Deduplication and Delta-Encoding for Genome Sequencing Data

Authors
Cogo, V; Paulo, J; Bessani, A;

Publication
IEEE TRANSACTIONS ON COMPUTERS

Abstract

2021

BDUS: implementing block devices in user space

Authors
Faria, A; Macedo, R; Pereira, J; Paulo, J;

Publication
SYSTOR '21: The 14th ACM International Systems and Storage Conference, Haifa, Israel, June 14-16, 2021.

Abstract

2021

MONARCH: Hierarchical Storage Management for Deep Learning Frameworks

Authors
Dantas, M; Leitao, D; Correia, C; Macedo, R; Xu, WJ; Paulo, J;

Publication
2021 IEEE INTERNATIONAL CONFERENCE ON CLUSTER COMPUTING (CLUSTER 2021)

Abstract

2021

The Case for Storage Optimization Decoupling in Deep Learning Frameworks

Authors
Macedo, R; Correia, C; Dantas, M; Brito, C; Xu, WJ; Tanimura, Y; Haga, J; Paulo, J;

Publication
2021 IEEE INTERNATIONAL CONFERENCE ON CLUSTER COMPUTING (CLUSTER 2021)

Abstract

2021

S2Dedup

Authors
Miranda, M; Esteves, T; Portela, B; Paulo, J;

Publication
SYSTOR '21: The 14th ACM International Systems and Storage Conference, Haifa, Israel, June 14-16, 2021.

Abstract

Supervised
thesis

2021

RSafeFS: Sistema de Ficheiros Modular para Armazenamento Remoto

Author
Diogo Luzio Leitão

Institution
UM

2021

LSFS: Sistema de ficheiros tolerante a faltas para armazenamento em larga escala

Author
Daniel da Silva Fernandes

Institution
UM

2021

Sistema de armazenamento para plataformas de Deep Learning

Author
Cláudia Sofia Mendonça de Sá Correia

Institution
UM

2021

Sistema de deduplicação reconfigurável

Author
Carlos Pinto Pedrosa

Institution
UM

2021

Towards a Privacy-Preserving Distributed Machine Learning Framework

Author
Cláudia Vanessa Martins de Brito

Institution
UM