Ricardo Macedo

Orcid: 0000-0003-4036-0126

According to our database1, Ricardo Macedo authored at least 18 papers between 2017 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
When Amnesia Strikes: Understanding and Reproducing Data Loss Bugs with Fault Injection.
Proc. VLDB Endow., July, 2024

2023
User-level software-defined storage data planes
PhD thesis, 2023

PADLL: Taming Metadata-intensive HPC Jobs Through Dynamic, Application-agnostic QoS Control.
CoRR, 2023

Toward a Practical and Timely Diagnosis of Application's I/O Behavior.
IEEE Access, 2023

Diagnosing applications' I/O behavior through system call observability.
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.
Proceedings of the 23rd IEEE/ACM International Symposium on Cluster, 2023

2022
PAIO: General, Portable I/O Optimizations With Minor Application Modifications.
Proceedings of the 20th USENIX Conference on File and Storage Technologies, 2022

Protecting Metadata Servers From Harm Through Application-level I/O Control.
Proceedings of the IEEE International Conference on Cluster Computing, 2022

Accelerating Deep Learning Training Through Transparent Storage Tiering.
Proceedings of the 22nd IEEE International Symposium on Cluster, 2022

2021
A Survey and Classification of Software-Defined Storage Systems.
ACM Comput. Surv., 2021

PAIO: A Software-Defined Storage Data Plane Framework.
CoRR, 2021

BDUS: implementing block devices in user space.
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.
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.
Proceedings of the IEEE International Conference on Cluster Computing, 2021

MONARCH: Hierarchical Storage Management for Deep Learning Frameworks.
Proceedings of the IEEE International Conference on Cluster Computing, 2021

2019
A Case for Dynamically Programmable Storage Background Tasks.
Proceedings of the 38th International Symposium on Reliable Distributed Systems Workshops, 2019

TrustFS: An SGX-Enabled Stackable File System Framework.
Proceedings of the 38th International Symposium on Reliable Distributed Systems Workshops, 2019

2017
A Practical Framework for Privacy-Preserving NoSQL Databases.
Proceedings of the 36th IEEE Symposium on Reliable Distributed Systems, 2017


  Loading...