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Feasibility Analysis of Real-Time Periodic Tasks with Offsets

机译:带有偏移的实时定期任务的可行性分析

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The problem of feasibility analysis of asynchronous periodic task sets, where tasks can have an initial offset, is known to be co-NP-complete in the strong sense. A sufficient pseudo-polynomial test has been proposed by Baruah, Howell and Rosier, which consists in analyzing the feasibility of the corresponding synchronous task set (i.e. all offsets are set equal to 0). If the test gives a positive result, then the original asynchronous task set is feasible; else, no definitive answer can be given. In many cases, this sufficient test is too pessimistic, i.e. it gives no response for many feasible task sets. In this paper, we present a new sufficient pseudo-polynomial test for asynchronous periodic task sets. Our test reduces the pessimism by explicitely considering the offsets in deriving a small set of critical arrival patterns. We show, trough a set of extensive simulations, that our test outperforms the previous sufficient test.
机译:从强烈的意义上讲,异步周期性任务集的可行性分析问题(其中任务可以具有初始偏移)被认为是共NP完全的。 Baruah,Howell和Rosier提出了足够的伪多项式测试,该测试包括分析相应同步任务集(即所有偏移都设置为0)的可行性。如果测试给出肯定的结果,那么原始的异步任务集是可行的;否则,无法给出确切答案。在许多情况下,这种足够的测试过于悲观,即对于许多可行的任务集没有任何响应。在本文中,我们为异步周期性任务集提出了一种新的充分的伪多项式检验。我们的测试通过在考虑少量关键到达模式时明确考虑偏移量,从而减少了悲观情绪。通过一系列广泛的模拟,我们证明了我们的测试优于先前的充分测试。

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