Cluster: Adaptive Real-Time

This is a more recent approach to embedded systems design, where temporal constraints can be relaxed, which allows optimized use of resources. This includes applications – where managing the Quality of Service (QoS) is essential, such as telecommunication systems, multi-media, and wide-area networked applications. In this relatively new area, there is a recognized lack of design theory and tools.

  • Core Participants 

    Core participants in the Adaptive Real Time cluster.

  • State of the Art (Brief) 

    The main reason for investigating adaptive real-time systems is to provide predictability and flexibility for systems and environments where requirements on resources are inherently unstable and difficult to predict in advance. Such a difficulty is due to different causes. First of all, modern computer architectures include several low-level mechanisms that are designed to enhance the average performance of applications, but unfortunately introduce high variations on tasks’ execution times.

  • Main Research Trends 

    To cope with dynamic environments, a system must be adaptive; that is, it must be able to adjust its internal strategies in response to a change in the environment, to keep the system performance at a desired level. Implementing adaptive embedded systems requires specific support at different levels of the software architecture.

  • Artist2 Research and Integration Activities 

    - QoS aware Components NoE Integration
    - Flexible Resource Management for Real-time Systems Cluster Integration
    - Real-Time Languages Cluster Integration
    - A Common Infrastructure for Adaptive Real-Time Systems Platform

  • Industrial Applications 

    The most important industrial fields that can benefit from adaptive real-time technology include Consumer Electronics, Industrial Automation, and Telecommunications.

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