By by Traian Pop.
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Additional info for Analysis and optimisation of distributed embedded systems with heterogeneous scheduling policies
In order to cope with the complexity of designing such heterogeneous embedded systems, only an adequate design environment can effectively support decisions leading in an acceptable time to cost-efficient, reliable and high performance solutions. Developing flexible and powerful tools for the design and analysis of such kind of heterogeneous systems represents the motivation behind the work presented in this thesis. 3 Related Work This section presents an overview of the previous research in the area of analysis and system level design for distributed embedded systems.
In conclusion, an efficient scheduling algorithm requires a close interaction between the static scheduling of TT activities and the schedulability analysis of the ET activities. 3 Schedulability Analysis of Event-Triggered Task Sets In order to determine if a hierarchically scheduled system is schedulable, we used as a starting point the schedulability analysis algorithm for EDFwithin-FPS systems, developed in [Gon03]. In this section, we present our extension to this algorithm, which allows us to compute the worst case response times for the FPS and EDF activities when they are interfered by the SCS activities.
4: Application Model Example which is the period of the task graph. The period of a message is identical with that of the sender task. If communicating tasks are of different periods, they are combined into a larger graph capturing all task activations for the hyper-period (LCM of periods). • We also consider that the size of each message m is given, which can be directly converted into communication time Cm on the particular bus, knowing the speed of the bus and the size of the frame that stores the message: Cm = Frame_size(m) / bus_speed.