General information
Organisation
The French Alternative Energies and Atomic Energy Commission (CEA) is a key player in research, development and innovation in four main areas :
• defence and security,
• nuclear energy (fission and fusion),
• technological research for industry,
• fundamental research in the physical sciences and life sciences.
Drawing on its widely acknowledged expertise, and thanks to its 16000 technicians, engineers, researchers and staff, the CEA actively participates in collaborative projects with a large number of academic and industrial partners.
The CEA is established in ten centers spread throughout France
Reference
SL-DAM-26-0001
Direction
DAM
Thesis topic details
Category
Engineering science
Thesis topics
IO access scheduling on magnetic tapes using machine learning
Contract
Thèse
Job description
Numerical simulations are used to obtain responses to physical phenomena that
cannot be reproduced, either because they are too dangerous or too expensive.
The models used for these simulations are increasingly complex, in terms of
size and precision, and require access to increasingly large computing and
data storage capacities. To this end, and in order to optimize costs, the use
of mass storage technologies such as magnetic tapes is critical. However, to
ensure good overall system performance, the development of algorithms and
mechanisms related to data placement and tape access scheduling is essential.
The objective of the thesis is to study the technology of magnetic tapes, as
well as existing mechanisms such as RAO (Recommended Access Order) or request
retention; and to implement new strategies for the optimization of magnetic
tape performance.
University / doctoral school
Sciences et Technologies de l’Information et de la Communication (STIC)
Versailles-St-Quentin-en-Yvelines
Thesis topic location
Site
DAM Île-de-France
Requester
Position start date
01/12/2025
Person to be contacted by the applicant
GOUGEAUD Sebastien 
sebastien.gougeaud@cea.fr
CEA
DAM/DCLC//DCLC
Bruyères le Chatel
91297 Arpajon Cedex
01 69 26 54 62
Tutor / Responsible thesis director
ZERTAL Soraya
Université de Versailles St Quentin en Yvelines -- Université Paris Saclay
Li-PaRAD -- Laboratoire d'Informatique Parallélisme Réseaux Algorithmes Distribués
Université de Versailles Saint-Quentin-en-Yvelines
9 boulevard d'Alembert
Bâtiment François Rabelais
78280 Guyancourt
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