(Français) Projet TARANIS

Model, Deploy, Orchestrate, and Optimize Cloud Applications and Infrastructure

— Preview

Strategy based on a significant abstraction of the application structure description, in order to further automate application and infrastructure management.

Christian Perez, Inria Research Director

Keywords : Cloud, Edge, IoT, Computation Continuum, model, verification, deployment, reconfiguration, orchestrator, optimisatin

New infrastructures, such as Edge Computing or the Cloud-Edge-IoT computing continuum, make cloud issues even more complex, as they add new challenges linked to the diversity and heterogeneity of resources (from small sensors to data centers/HPCs, from low-power networks to core networks), geographical distribution, as well as increased requirements for dynamicity and security, all under constraints such as energy consumption.

To exploit these new infrastructures efficiently, the Taranis project is based on a strategy aimed at abstracting the description of the structure of applications and resources in order to automate their management even further. In this way, it will be possible to globally optimize the resources used with regard to multi-criteria objectives (price, deadline, performance, energy, etc.) on both the user side (applications) and the resource provider side (infrastructures). Taranis also addresses the challenges of abstracting application reconfiguration and dynamically adapting resource usage.

— Missions

— Our researches

The Taranis project addresses this issue via four scientific work packages, each focusing on a phase of the application lifecycle: application description model and infrastructure, deployment and reconfiguration, orchestration and optimization. Work package 0 is dedicated to project management.

Modeling

Investigate the complexity of Cloud-Edge application and infrastructure models


Deployment and reconfiguration

Investigates deployment and reconfiguration issues


Orchestration of services and resources

Extend orchestrators for the Cloud-Edge-IoT continuum


Optimization

Revisit optimization issues associated with the use of Cloud-Edge-IoT infrastructures.

— Partners

Consortium

Inria, CNRS, IMT, UGA, CEA, Université de Rennes, ENS Lyon, Université Claude Bernard Lyon 1, Université de Lille, INSA Rennes

— Research team

48 permanent staff (not funded by the project)
46 people funded by the project, including:
27 PhD students
7 post-docs
12 engineers

Our teams in France

— Publications



2 documents

Conference papers

  • Brell Peclard Sanwouo, Clément Quinton, Paul Temple. Breaking the Loop: AWARE is the new MAPE-K. FSE 2025 - ACM International Conference on the Foundations of Software Engineering, Jun 2025, Trondheim, Norway. ⟨hal-04992342⟩
  • Dominik Huber, Sergio Iserte, Martin Schreiber, Antonio J Peña, Martin Schulz. Bridging the Gap Between Genericity and Programmability of Dynamic Resources in HPC. ISC High Performance 2025 - 40th ISC High Performance International Conference, Jun 2025, Hamburg, Germany. pp.1-11. ⟨hal-04994828⟩


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