Convex optimization framework for intermediate deadline assignment in soft and hard real-time distributed systems

  • Authors:
  • Jinkyu Lee;Insik Shin;Arvind Easwaran

  • Affiliations:
  • Department of Computer Science, KAIST, South Korea;Department of Computer Science, KAIST, South Korea;Cister Research Unit, Polytechnic Institute of Porto, Portugal

  • Venue:
  • Journal of Systems and Software
  • Year:
  • 2012

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Abstract

It is generally challenging to determine end-to-end delays of applications for maximizing the aggregate system utility subject to timing constraints. Many practical approaches suggest the use of intermediate deadline of tasks in order to control and upper-bound their end-to-end delays. This paper proposes a unified framework for different time-sensitive, global optimization problems, and solves them in a distributed manner using Lagrangian duality. The framework uses global viewpoints to assign intermediate deadlines, taking resource contention among tasks into consideration. For soft real-time tasks, the proposed framework effectively addresses the deadline assignment problem while maximizing the aggregate quality of service. For hard real-time tasks, we show that existing heuristic solutions to the deadline assignment problem can be incorporated into the proposed framework, enriching their mathematical interpretation.