By by Traian Pop.

ISBN-10: 9173736767

ISBN-13: 9789173736763

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**Extra info for Scheduling and optimisation of heterogeneous time event-triggered distributed embedded systems**

**Example text**

The value for the increment used in the function f’(t,τij) will be computed as ∆DSch = Σ∆DSchkl, for all τkl in the ET domain and Nodekl = Nodeij. 6, to shorter computation times. 3 MXS3 List scheduling, which is the basis for our scheduling algorithm, is a constructive method that builds the static schedule table incrementally, by adding one TT task or ST message at a time. 2), at each step, the effect of the static schedule, including the newly introduced task, on the ET subsystem is measured by function DSch.

Consequently, earlier start times for τab will be preferred. On the other hand, if there is more available processor time than needed (in other words, slack has a high value), the function f will depend mainly on the value of the second term, thus the main aspect taken into consideration will be the influence of TT activities on the ET ones, which is captured by DSch. The static scheduling algorithm will select, among the alternative start times, that time t for which the value of the cost function f is minimum.

On the other hand, if there is more available processor time than needed (in other words, slack has a high value), the function f will depend mainly on the value of the second term, thus the main aspect taken into consideration will be the influence of TT activities on the ET ones, which is captured by DSch. The static scheduling algorithm will select, among the alternative start times, that time t for which the value of the cost function f is minimum. 9, both in order to compute the values of the possible start times (line 04) and the Cost associated with each such start time (line 08).

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