Schedulability analysis of non-preemptive recurring real-time tasks

  • Authors:
  • Sanjoy K. Baruah;Samarjit Chakraborty

  • Affiliations:
  • University of North Carolina at Chapel Hill;National University of Singapore

  • Venue:
  • IPDPS'06 Proceedings of the 20th international conference on Parallel and distributed processing
  • Year:
  • 2006

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Abstract

The recurring real-time task model was recently proposed as a model for real-time processes that contain code with conditional branches. In this paper, we present a necessary and sufficient condition for uniprocessor nonpreemptive schedulability analysis for this task model. We also derive a polynomial-time approximation algorithm for testing this condition. Preemptive schedulers usually have a larger schedulability region compared to their nonpreemptive counterparts. Further, for most realistic task models, schedulability analysis for the non-preemptive version is computationally more complex compared to the corresponding preemptive version. Our results in this paper show that (surprisingly) the recurring real-time task model does not fall in line with these intuitive expectations, i.e. there exists polynomial-time approximation algorithms for both preemptive and non-preemptive versions of schedulability analysis. This has important implications on the applicability of this model, since fully preemptive scheduling algorithms often have significantly larger runtime overheads.