(Français) Projet STEEL

Secure and efficient data storage and processing on cloud-based infrastructures

— Preview

The STEEL project aims to provide solutions for efficient and secure data storage and processing on cloud-based infrastructures.

Gabriel Antoniu, Inria Research Director

Keywords : Cloud, data storage and processing, high-performance storage, confidential storage, hybrid cloud-edge infrastructures

Project website

The strong development of cloud computing since its emergence, and its massive adoption for storing unprecedented volumes of data in a growing number of fields, has brought to light some major technological challenges. In this project, we will address several of these challenges, organized into three axes:

  • The first involves exploiting emerging technologies for high-performance storage on cloud infrastructures, notably NVRAM-based, close to where data is produced and consumed (disaggregation principle).
  • The second area concerns the efficient storage and processing of data on hybrid, heterogeneous infrastructures within the digital edge-cloud-supercomputer continuum. This responds to the emergence of hybrid workflows combining simulations, analysis of sensor data flows and machine learning in many fields (autonomous cars, predictive maintenance, intelligent buildings, etc.). Their execution requires adequate management of storage resources, from the edge to cloud infrastructures, to enable them to be processed in a unified framework.
  • The third axis is dedicated to confidential storage, in line with the need to store and analyze large volumes of data of strategic interest or of a personal nature.

— Missions

— Our researches

STEEL is organized around three technical work packages. A fourth work package is dedicated to management, communication and dissemination of results.

Efficient, fault-tolerant storage

Take advantage of new storage technologies (NVRAM, CXL) to improve the performance and reliability of cloud storage solutions.

Storage on the edge-cloud continuum

  • Meet the data management and storage challenges of geographically distributed applications deployed across the digital continuum.
  • Propose a set of strategies to effectively deal with network partitioning, fault tolerance and extreme heterogeneity.

Confidential storage

The challenges addressed in this work package are: (1) storing ultra-sensitive data; (2) managing the heterogeneity of these secure enclaves; and (3) using them to handle massive data efficiently. These challenges will be addressed within the framework of this work package.

— Partners

Consortium

Inria, IMT, CNRS, Université de Bordeaux, Université Grenoble Alpes, Université de Rennes, INSA Rennes, INSA Lyon, IMT Atlantique

— Research team

16 permanent staff (not funded by the project)
17 people funded by the project, including:
8 PhD students
2 post-docs
6 engineers
1 contract researcher

Our teams in France

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