PAStor

About Project

The PAStor project aims at providing a novel Software-Defined Storage (SDS) solution for HPC that can efficiently handle I/O flows from multiple AI workloads by automatically adjusting storage configurations and resources to dynamically meet application requirements. The proposed solution will be crucial to address the current storage performance bottleneck and fairness challenges of HPC infrastructures. The research output from PAStor will be released as an open-source prototype that will provide the first building block towards a novel storage architecture suited for the exascale computing infrastructure. By gathering the expertise of INESC TEC and Hood College researchers in the AI and distributed storage fields, and by including researchers from TACC and MACC with experience on managing HPC infrastructures, the project will produce new high quality research findings and advance the state-of-the-art for storage solutions currently deployed at HPC centers.

Acronym

PAStor

Responsible

João Tiago de Medeiros Paulo

Status

Closed

Start

January 1, 2020

End

January 31, 2021

Effective End

January 31, 2021

Global Budget

€49,235.00

Financing

€49,235.00

Website

https://pastor-project.github.io

Members

Team Leaders

João Tiago Paulo

I am currently an auxiliar professor at University of Minho and senior researcher at INESC TEC. I have obtained a PhD degree in Computer Science from the MAP-i Doctoral Program in Computer Science. Currently, I am working on large scale distributed systems with an emphasis on storage and database systems’ scalability, performance, security and dependability. Also, I am interested on the applicability of this research work for solving complex data management challenges for Cloud Computing and HPC centres.

I am the coordinator of the PAStor PT-UTAustin exploratory project and the “Efficient and Secure Data Management for HPC and Cloud Computing” CENTRA project, while leading INESC TEC’s activities on the Compete2020 BigHPC project and ACTPM PT-UTAustin exploratory project. Also, I have several publications in renowned journals and international conferences (e.g., ACM Computing Surveys, IEEE Transactions on Computers, ACM Transactions on Storage, Eurosys, SRDS, SYSTOR).

For more information you can check my personal web page at https://jtpaulo.github.io, as well as, HASLab's research lines on the topics mentioned above: https://dsr-haslab.github.io and https://dbr-haslab.github.io

Team Members

Mariana Martins Miranda

João Tiago Paulo

Paula Cristina Rodrigues

Ricardo Gonçalves Macedo

Cláudia Vanessa Brito

José Orlando Pereira

Associated Centres

High-Assurance Software

At the High-Assurance Software Laboratory (HASLab), we improve practice through theory, creating and implementing software that goes beyond mere functionality: we ensure it is correct, resilient, and secure against failures and attacks. Our team of researchers, scientists, and engineers has proven expertise in software engineering, developing methods and tools to design and integrate robust software; in distributed systems, exploring distribution and replication to ensure scalability and reliability; and in information security, addressing cybersecurity challenges and improving systems with advanced, secure cryptographic protocols, thus minimising vulnerabilities. With a multidisciplinary approach supported by solid theoretical principles, we develop innovative solutions for critical software, secure cloud infrastructures, and privacy-aware big data management, driving scientific advancement, innovation, and high-level consultancy. In addition, we complement our core expertise with work in human-computer interaction, programming languages, computational mathematics, and quantum computing - because we believe the future of trustworthy software is built on knowledge and innovation.