{"id":1139,"date":"2024-07-23T15:11:29","date_gmt":"2024-07-23T13:11:29","guid":{"rendered":"https:\/\/pepr-cloud.fr\/fr\/?page_id=1139"},"modified":"2025-04-14T14:35:58","modified_gmt":"2025-04-14T12:35:58","slug":"steel-brouillon","status":"publish","type":"page","link":"https:\/\/pepr-cloud.fr\/en\/project-steel\/","title":{"rendered":"STEEL Project"},"content":{"rendered":"
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Secure and efficient data storage and processing on cloud-based infrastructures<\/strong><\/p>\n\n\n\n

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The STEEL project aims to provide solutions for efficient and secure data storage and processing on cloud-based infrastructures.<\/p>\n\n\n\n

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Gabriel Antoniu<\/strong><\/strong>, <\/strong><\/strong><\/strong>Inria Research Director<\/p>\n<\/div>\n<\/div>\n<\/div>\n\n\n\n

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Keywords<\/strong> : Cloud, data storage and processing, high-performance storage, confidential storage, hybrid cloud-edge infrastructures<\/em><\/p>\n\n\n\n

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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:<\/p>\n\n\n\n

  • 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).<\/li>
  • 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.<\/li>
  • 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.<\/li><\/ul>\n\n\n\n
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