Solving real-time scheduling problems with model-checking

  • Authors:
  • Zonghua Gu

  • Affiliations:
  • Department of Computer Science, Hong Kong University of Science and Technology

  • Venue:
  • ICESS'05 Proceedings of the Second international conference on Embedded Software and Systems
  • Year:
  • 2005

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Abstract

Real-time scheduling is a well-studied field with mature techniques such as Rate Monotonic Analysis. In this paper, we investigate an alternative approach to solving real-time scheduling problems with model-checking. We use the modeling formalism Hybrid Automata and the model-checker HyTech for this purpose, and illustrate advantages and limitations of this approach as compared to the conventional real-time scheduling techniques. In particular, we can use model-checking for analysis of best-case response time of tasks in addition to the worst-case response time, and we can take advantage of HyTech’s parametric analysis capability to derive task parameters such as the critical scaling factor.