Distributed Storage Research

Distributed Storage Research (DSR) team leverages its knowledge of storage, operating, and distributed systems to empower cloud computing, high-performance computing, and AI ecosystems. Our research aims to create efficient, scalable, resilient, and secure storage solutions to handle the rapid growth of digital information and the diverse requirements of various applications and infrastructures.

About us

Research Topics

Our research is directed towards building efficient, reliable, and secure storage systems.

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Publications

Explore DSR groundbreaking publications in distributed storage research.

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Projects

DSR is involved in several research projects aimed at delivering novel storage solutions.

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LATEST NEWS

October 20, 2024

Accepted Paper

The paper "Can Current SDS Controllers Scale To Modern HPC Infrastructures?" was accepted at the IXPUG'24 workshop, colocated with the SC conference!

July 25, 2024

Accepted Paper

The paper "When Amnesia Strikes: Understanding and Reproducing Data Loss Bugs with Fault Injection" was accepted at the VLDB'24 conference!

July 03, 2024

PhD Defense

Cláudia Brito has defended her PhD thesis entitled "Towards a Privacy-Preserving Distributed Machine Learning Framework". Congratulations!

• Jason Haga and Tanimura-san visiting our lab (2024)

• Jason Haga presenting AIST at our lab (2024)

• Maria Ramos presenting the LazyFS system at VLDB (2024)

• Visiting researcher Rahma Nouaji on her last day in our lab (2024)

• PhD defense of Cláudia Brito (2024)

• Visiting researcher Rahma Nouaji in Braga Romana (2024)

• PhD defense of Tânia Esteves (2024)

• Jason Haga presenting the ESDM project at CENTRA (2024)

• Tânia Esteves presenting the CRIBA system at SRDS (2023)

• Tânia Esteves presenting the DIO system at DCDS (2023)

• PhD defense of Ricardo Macedo (2023)

• Oana Balmau presenting her work at our lab (2022)

• João Paulo presenting the Monarch system at CCGRID (2022)

• Ricardo Macedo presenting the PAIO system at FAST (2022)

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COLLABORATIONS