Cross-layer resilience for rack-scale disaggregated memory

Project description

More memory for data-intensive applications

The rapid rise in social connectivity and e-commerce requires increasing computer memory to store and process larger amounts of data with low latency. But more computer memory means more memory errors, which can disrupt service availability and cause data loss. In this context, the EU-funded SHEPHERD project will develop cross-layer memory resilience techniques where software and hardware work together to prevent service unavailability and data loss due to memory errors in disaggregated memory with low overhead. As a fellowship, the project will capitalise on the existing strengths of the experienced researcher in the area of system software design for non-volatile memory and the expertise of the host on memory fault tolerance and micro-server architectures.

Fields of science

• natural sciences › chemical sciences › inorganic chemistry › post-transition metals
• natural sciences › computer and information sciences › software › software applications › system software

Programme(s)

• H2020-EU.1.3.2. - Nurturing excellence by means of cross-border and cross-sector mobility

Topic(s)

• MSCA-IF-2020 - Individual Fellowships

Call for proposal

H2020-MSCA-IF-2020
See other projects for this call

Funding Scheme

MSCA-IF-EF-RI - RI – Reintegration panel

Coordinator

UNIVERSITY OF CYPRUS

Address

Avenue Panepistimiou 2109 Aglantzi
1678 Nicosia
Cyprus

Activity type

Higher or Secondary Education Establishments

EU contribution

€ 145 941,12