Diagnostics for Real Time Distributed Multi-core Architecture in Avionics

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This project has four research axes:

  • Tracing and Sampling for Real-Time partially simulated Avionics Systems
  • Analysis of Real-Time Avionics Systems from Tracing and Sampling data
  • Trace abstraction and correlation techniques for real-time avionic systems
  • Visualization of Avionic System Traces

Online surveillance of critical computer systems through advanced host-based detection

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This project has four research axes:

  • Scalable Observation infrastructure - Low disturbance multi-level observation and production of enhanced data
  • Scalable Observation infrastructure - Advanced host-based Centralized data store and software pattern identification
  • Scalable Detection infrastructure - Harmonized Anomaly Detection Techniques
  • Scalable Detection infrastructure - Knowledge base for the Linux kernel

Integrated tracing, profiling and debugging for tuning large heterogeneous clusters

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This project has four research axes:

  • Tracing the whole hardware infrastructure, from network processors to application-specific many-core processors
  • Coordinating multiple sources of monitoring information in the cluster
  • Cluster level modeling and analysis
  • Integration of Tracer in Cloud Computing Environment

Tracing and Monitoring Tools for Distributed Multi-Core Systems

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This three-year project is jointly funded by EricssonDefence Research and Development Canada et theNational Sciences and Engineering Research Council of Canada. Lead by École Polytechnique's DORSAL, it is being done is collaboration with Concordia University, Laval University and the Université of Ottawa. It is composed of seven research axes:
  • Adaptative fault probing
  • Multi-level, multi-core distributed traces synchronization
  • Trace Abstraction, Analysis and Correlation
  • Automated Fault Identification
  • Trace Directed Modeling
  • System Health Monitoring and Reactive measures activation
  • Tracing and Monitoring Framework Impact Prediction