Disaggregated Virtualization
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Study of new virtualisation mechanisms adapted to a disaggregated cloud infrastructure and to a cloud infrastructure made up of small edge infrastructures connected to powerful data centres.

Gaël Thomas, Inria Senior Researcher
Keywords : Disaggregation, edge, virtualisation
Data centers are evolving with the arrival of disaggregated and edge infrastructures. The aim of the DiVA project is to prepare the system stack for these next-generation infrastructures, in order to make more efficient use of hardware resources.
In the context of disaggregated infrastructures, it is becoming possible, on the scale of a cluster of machines, to fully mutualize hardware resources. This evolution requires us to revisit virtualization mechanisms, as virtual machines become elastic (new resources can be added to a virtual machine on the fly) and distributed (the hardware resources used by a virtual machine are physically distributed).
In the context of edge infrastructures, small clusters of machines are connected by slow networks to powerful data centers. Edge clusters perform computations close to data sources, while still being able to use the computing power of a data center. This evolution requires us to revisit several system mechanisms, as infrastructures become much more heterogeneous in terms of hardware, network and software architecture.
— Missions
— Our researches
— Partners
Consortium
Inria, GINP, Télécom SudParis, Toulouse INP, Sorbonne Université
Our teams in France
— Publications
Conference papers
- Brice Ekane, Djob Mvondo, Renaud Lachaize, Yérom-David Bromberg, Alain Tchana, et al.. DISC: Backpressure Mitigation In Multi-tier Applications With Distributed Shared Connection. Proceedings of the 22nd USENIX Symposium on Networked Systems Design and Implementation (NSDI 25), USENIX Association, Apr 2025, Philadelphia (Pennsylvania), United States. pp.55-70. ⟨hal-05051628⟩
- Ayush Pandey, Stefania Dumbrava, Marc Shapiro, Carla Ferreira, Mário Pereira, et al.. Towards local-first distributed property graphs. 12th Workshop on Principles and Practice of Consistency for Distributed Data (PaPoC), EuroSys, Mar 2025, Rotterdam, Netherlands. ⟨10.1145/3721473.3722139⟩. ⟨hal-04985261⟩
- Rémi Dulong, Nathan Felber, Pascal Felber, Gilles Hopin, Baptiste Lepers, et al.. P 4 ce: consensus over RDMA at line speed. ICDCS 2024 - IEEE 44th International Conference on Distributed Computing Systems, Jul 2024, Jersey City, United States. pp.508-519, ⟨10.1109/ICDCS60910.2024.00054⟩. ⟨hal-04895326⟩
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