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    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.

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    Details

    Details

    • Name

      Ricardo Gonçalves Macedo

    • Cluster

      Computer Science

    • Role

      Assistant Researcher

    • Since

      01st December 2016
    003
    Publications
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    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

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    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

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    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

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    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.

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    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

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    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

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