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Accueil du site > English > Departments > Architecture, Systems, Networks

Architecture, Systems, Networks

Head : Daniel Hagimont


The ASR department (Architecture, System, Network) covers research topics linked with the design of networks (satellite, wireless and embedded), distributed systems and real time systems. Central to these researches is the optimized management of resources in order to enforce the quality of service required by applications, in domains as varied as healthcare, smart city, transport, e-learning or security.

The ASR department includes 5 research teams :

  • RMESS : the RMESS team addresses issues related to performance analysis and sizing of network architectures, especially in the context of the Internet of Things, 5G, satellite networks and cyber-physical systems. This analysis relies on analytical methods, simulation and deployment.
  • SEPIA : the SEPIA team focuses on distributed systems, especially large-scale systems, Clouds and HPC. The main issue is to optimize resource allocation, for computing resources, storage, memory or energy. It may rely on very different techniques : mathematical modeling, optimization, machine learning, virtualization, distributed algorithmic, real or simulated experiments, ...
  • SIERA : activities conducted in the SIERA team target quality and reliability assurance of information and its exchange in networks (avionic, software-defined) and in adaptive distributed environments (IoT, Edge Computing), by introducing methodologies (privacy/security/monitoring-by-design), characterization models and orchestration languages. SIERA also addresses the design of innovative environments for digital transformation in e-learning.
  • T2RS : the T2RS team focuses on protocols, algorithms and QoS management methods in networks, especially in wireless sensor networks. The targeted QoS metrics are mainly communication delays and energy.
  • TRACES : activites conducted in the TRACES team target the estimation of the worst-case execution time for time-critical tasks. Contributions rely on static analysis techniques and are integrated in the OTAWA open source toolset, which is well recognized by the scientific community.

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