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A constant execution period and practically deterministic and regular execution patterns characterize SDR applications.
Both of these, unfortunately, may leak lots of information through observations of the program execution patterns.
To identify implicit command execution patterns, a sequence mining algorithm based on Generalized Suffix Trees (GST) was implemented.
To the best of our knowledge, the uniform assignment given by Eq. 2 is the best result found in the literature for finding execution patterns for migrating tasks.
To generate execution patterns for the migrating tasks, we use Eq. 2 first and if no pattern is found we follow an enumeration approach.
Typically, these techniques discover a concrete workflow schema modelling all possible execution patterns registered in a given log, which can be exploited subsequently to support further-coming enactments.
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Jobs of migrating tasks execute on selected cores according to an execution pattern that is determined offline.
In this test, the execution pattern of each migrating task τ i is taken into account.
Concerning the migrating tasks, their jobs are distributed among the cores by following an execution pattern that does not jeopardize the schedulability of each individual core.
If an execution pattern is found for the multiframe task, then these tasks can benefit from work-stealing in the third phase.
(2) Offline scheduling phase: during this phase, an execution pattern which does not jeopardize the schedulability of the cores for the migrating task τ 1 is found.
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