Cookies Policy
The website need some cookies and similar means to function. If you permit us, we will use those means to collect data on your visits for aggregated statistics to improve our service. Find out More
Accept Reject
  • Menu
About

About

Ricardo Macedo is a Researcher at HASLab INESC TEC and a 4th year PhD student of the MAP-i Doctoral Programme in Computer Science. He obtained is MSc degree in the Integrated Master in Computer Science (MiEI) from the University of Minho in 2017. His research is focused on distributed storage systems, with particular focus on Software-Defined Storage, programmable and distributed storage, and key-value stores, coutning already with several publications in premium conferences and journals of systems research.

Ricardo has been actively involved in the design and development tasks of EU and national projects, namely BigHPC and PAStor, as well as in previous ones, such as H2020 SafeCloud and SMILES. He has been an active participant in other international projects that count with collaboration of top research centers from both academia and industry, namely UTAustin, AIST, TACC, McGill University, IBM Research Haifa, and CENTRA.

Interest
Topics
Details

Details

  • Name

    Ricardo Gonçalves Macedo
  • Cluster

    Computer Science
  • Role

    Assistant Researcher
  • Since

    01st December 2016
003
Publications

2022

Accelerating Deep Learning Training Through Transparent Storage Tiering

Authors
Dantas, M; Leitao, D; Cui, P; Macedo, R; Liu, XL; Xu, WJ; Paulo, J;

Publication
2022 22ND IEEE/ACM INTERNATIONAL SYMPOSIUM ON CLUSTER, CLOUD AND INTERNET COMPUTING (CCGRID 2022)

Abstract

2022

PAIO: General, Portable I/O Optimizations With Minor Application Modifications

Authors
Macedo, R; Tanimura, Y; Haga, J; Chidambaram, V; Pereira, J; Paulo, J;

Publication
20th USENIX Conference on File and Storage Technologies, FAST 2022, Santa Clara, CA, USA, February 22-24, 2022

Abstract

2022

Protecting Metadata Servers From Harm Through Application-level I/O Control

Authors
Macedo, R; Miranda, M; Tanimura, Y; Haga, J; Ruhela, A; Harrell, SL; Evans, RT; Paulo, J;

Publication
2022 IEEE INTERNATIONAL CONFERENCE ON CLUSTER COMPUTING (CLUSTER 2022)

Abstract

2022

Protecting Metadata Servers From Harm Through Application-level I/O Control

Authors
MacEdo, R; Miranda, M; Tanimura, Y; Haga, J; Ruhela, A; Harrell, SL; Evans, RT; Paulo, J;

Publication
Proceedings - IEEE International Conference on Cluster Computing, ICCC

Abstract
Modern large-scale I/O applications that run on HPC infrastructures are increasingly becoming metadata-intensive. Unfortunately, having multiple concurrent applications submitting massive amounts of metadata operations can easily saturate the shared parallel file system's metadata resources, leading to unresponsiveness of the storage backend and overall performance degradation. To address these challenges, we present Padll, a storage middleware that enables system administrators to proactively control and ensure QoS over metadata workflows in HPC storage systems. We demonstrate its performance and feasibility by controlling the rate of both synthetic and realistic I/O workloads. Results show that Padll can dynamically control metadata-aggressive workloads, prevent I/O burstiness, and ensure I/O fairness and prioritization. © 2022 IEEE.

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

Supervised
thesis

2018

Mecanismo de Recuperação de Falhas em Sistemas de Ficheiros Distribuídos

Author
Renato Carreiro Rebelo

Institution
UM

2018

Sistema Autónomo e Configurável de Armazenamento Distribuído

Author
Manuel Castro Freitas

Institution
UM