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Ricardo Gonçalves Macedo
Ricardo Macedo is currently a Researcher at INESC TEC. He obtained is PhD degree in 2023 under the MAP-i Doctoral Programme in Computer Science from the Universities of Minho, Aveiro and Porto with the thesis “User-level Software-Defined Storage Data Planes”.
His research is mainly focused on storage and operating systems, with an emphasis on designing new building blocks fitted for the performance, reliability, and energy consumption requirements of modern, large-scale I/O infrastructures, including key-value stores, kernel-bypass storage stacks, and disaggregated I/O resources. For more information, please check my personal web page at https://rgmacedo.github.io/.
Projects
SafeCloud
Despite all their advantages and importance to the competitiveness of modern economies, cloud infrastructures raise fundamental questions related to the privacy, integrity, and security of offsite data storage and processing tasks. There are major privacy and security concerns about data located in the cloud. These concerns are currently not addressed satisfactorily by existing technologies.
BigHPC
BigHPC aims at simplifying the management of computing and storage resources at HPC infrastructures, supporting Big Data and parallel computing applications, through a novel framework that can be seamlessly integrated with existing HPC centers and software stacks. The contributions of the project are expected to have a direct impact on science, industry and society, by accelerating scientific breakthroughs in different fields and increasing the competitiveness of companies through better data analysis and improved decision-support processes.
Publications
Toward a Practical and Timely Diagnosis of Application's I/O Behavior
Esteves, T;Macedo, R;Oliveira, R;Paulo, J;
2023
IEEE ACCESS
Diagnosing applications' I/O behavior through system call observability
Esteves, T;Macedo, R;Oliveira, R;Paulo, J;
2023
2023 53RD ANNUAL IEEE/IFIP INTERNATIONAL CONFERENCE ON DEPENDABLE SYSTEMS AND NETWORKS WORKSHOPS, DSN-W
Taming Metadata-intensive HPC Jobs Through Dynamic, Application-agnostic QoS Control
Macedo, R;Miranda, M;Tanimura, Y;Haga, J;Ruhela, A;Harrell, SL;Evans, RT;Pereira, J;Paulo, J;
2023
2023 IEEE/ACM 23RD INTERNATIONAL SYMPOSIUM ON CLUSTER, CLOUD AND INTERNET COMPUTING, CCGRID
Diagnosing applications' I/O behavior through system call observability
Esteves, T;Macedo, R;Oliveira, R;Paulo, J;
2023
CoRR
Supervised theses
Experiências Didáticas com simuladores 3D para a programação de autómatos programáveis
Rafael dos Anjos Freitas
M - 2024
UTAD-ECT
