Ricardo Macedo

According to our database, Ricardo Macedo authored at least 17 papers between 2017 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

User-level software-defined storage data planes

Ricardo Macedo

PhD thesis, 2023

PADLL: Taming Metadata-intensive HPC Jobs Through Dynamic, Application-agnostic QoS Control.

Ricardo Macedo, Mariana Miranda, Yusuke Tanimura, Jason Haga, Amit Ruhela, Stephen Lien Harrell, Richard Todd Evans, José Pereira, João Paulo

CoRR, 2023

Toward a Practical and Timely Diagnosis of Application's I/O Behavior.

Tânia Esteves, Ricardo Macedo, Rui Oliveira, João Paulo

IEEE Access, 2023

Diagnosing applications' I/O behavior through system call observability.

Tânia Esteves, Ricardo Macedo, Rui Oliveira, João Paulo

Proceedings of the 53rd Annual IEEE/IFIP International Conference on Dependable Systems and Networks, 2023

Taming Metadata-intensive HPC Jobs Through Dynamic, Application-agnostic QoS Control.

Ricardo Macedo, Mariana Miranda, Yusuke Tanimura, Jason Haga, Amit Ruhela, Stephen Lien Harrell, Richard Todd Evans, José Pereira, João Paulo

Proceedings of the 23rd IEEE/ACM International Symposium on Cluster, 2023

2022

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

Ricardo Macedo, Yusuke Tanimura, Jason Haga, Vijay Chidambaram, José Pereira, João Paulo

Proceedings of the 20th USENIX Conference on File and Storage Technologies, 2022

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

Ricardo Macedo, Mariana Miranda, Yusuke Tanimura, Jason Haga, Amit Ruhela, Stephen Lien Harrell, Richard Todd Evans, João Paulo

Proceedings of the IEEE International Conference on Cluster Computing, 2022

Accelerating Deep Learning Training Through Transparent Storage Tiering.

Marco Dantas, Diogo Leitão, Peter Cui, Ricardo Macedo, Xinlian Liu, Weijia Xu, João Paulo

Proceedings of the 22nd IEEE International Symposium on Cluster, 2022

2021

A Survey and Classification of Software-Defined Storage Systems.

Ricardo Macedo, João Paulo, José Pereira, Alysson Bessani

ACM Comput. Surv., 2021

PAIO: A Software-Defined Storage Data Plane Framework.

Ricardo Macedo, Yusuke Tanimura, Jason Haga, Vijay Chidambaram, José Pereira, João Paulo

CoRR, 2021

BDUS: implementing block devices in user space.

Alberto Faria, Ricardo Macedo, José Pereira, João Paulo

Proceedings of the SYSTOR '21: The 14th ACM International Systems and Storage Conference, 2021

Pods-as-Volumes: Effortlessly Integrating Storage Systems and Middleware into Kubernetes.

Alberto Faria, Ricardo Macedo, João Paulo

Proceedings of the WOC '21: Proceedings of the Seventh International Workshop on Container Technologies and Container Clouds, 2021

The Case for Storage Optimization Decoupling in Deep Learning Frameworks.

Ricardo Macedo, Cláudia Correia, Marco Dantas, Cláudia Brito, Weijia Xu, Yusuke Tanimura, Jason Haga, João Paulo

Proceedings of the IEEE International Conference on Cluster Computing, 2021

MONARCH: Hierarchical Storage Management for Deep Learning Frameworks.

Marco Dantas, Diogo Leitão, Cláudia Correia, Ricardo Macedo, Weijia Xu, João Paulo

Proceedings of the IEEE International Conference on Cluster Computing, 2021

2019

A Case for Dynamically Programmable Storage Background Tasks.

Ricardo Macedo, Alberto Faria, João Paulo, José Pereira

Proceedings of the 38th International Symposium on Reliable Distributed Systems Workshops, 2019

TrustFS: An SGX-Enabled Stackable File System Framework.

Tânia Esteves, Ricardo Macedo, Alberto Faria, Bernardo Portela, João Paulo, José Pereira, Danny Harnik

Proceedings of the 38th International Symposium on Reliable Distributed Systems Workshops, 2019

2017

A Practical Framework for Privacy-Preserving NoSQL Databases.

Ricardo Macedo, João Paulo, Rogerio Pontes, Bernardo Portela, Tiago Oliveira, Miguel Matos, Rui Oliveira

Proceedings of the 36th IEEE Symposium on Reliable Distributed Systems, 2017