An Event Stream Driven Approximation for the Analysis of Real-Time Systems

  • Authors:
  • Karsten Albers;Frank Slomka

  • Affiliations:
  • University of Oldenburg;University of Oldenburg

  • Venue:
  • ECRTS '04 Proceedings of the 16th Euromicro Conference on Real-Time Systems
  • Year:
  • 2004

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Abstract

This paper presents a new approach to understand theevent stream model. Additionally a new approximationalgorithm for the feasibility test of the sporadic and thegeneralized multiframe task system scheduled by earliestdeadline first is presented. The new algorithm has polynomialcomplexity to solve the problem of schedulabilityanalysis. The approximation error of the algorithm isbounded. In contrary to earlier work, where the errordepends on the different deadlines of the tasks, the errorof our algorithm depends only on the capacity of the chosenprocessor. It guarantees the acceptances on a processorwith slightly higher capacity than the unknownoptimal processor. While the algorithm is scalable andthe run-time depends on the chosen error, a trade-offbetween running time and error is possible.