Efficient performance estimation for general real-time task systems

  • Authors:
  • Hongchao Stephanie Liu;Xiaobo Sharon Hu

  • Affiliations:
  • University of Notre Dame, Notre Dame, IN;University of Notre Dame, Notre Dame, IN

  • Venue:
  • Proceedings of the 2001 IEEE/ACM international conference on Computer-aided design
  • Year:
  • 2001

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Abstract

The paper presents a novel approach to compute tight upper bounds on the processor utilization independent of the implementation for general real-time systems where tasks are composed of subtasks and precedence constraints may exist among subtasks of the same task. We formulate the problem as a set of linear programming (LP) problems. Observations are made to reduce the number of LP problem instances required to be solved, which greatly improves the computation time of the utilization bounds. Furthermore, additional constraints are allowed to be included under certain circumstances to improve the quality of the bounds.