Dynamic scheduling based on fuzzy earliest value time first algorithm

Journal Title: Science Paper Online - Year 2008, Vol 3, Issue 1

Abstract

EDF (earliest deadline first) scheduling algorithm assigns a higher priority to the task with an earlier deadline. However, its control performance will become poor when the system is overload. In order to improve the stabilization of overloaded control system, a new scheduling algorithm —FEVF (fuzzy earliest value time first) is proposed. Which combined fuzzy theory with EDF. Using this algorithm, we would get tasks’ ideal deadline according to their dynamic execution condition . Simulation results are given to demonstrate the effectiveness of the proposed FEVF algorithm. The results show that the algorithm has superiority to the conventional EDF and more suitable for control system.

Authors and Affiliations

XIONG Ying SHEN Qing

Keywords

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  • EP ID EP96755
  • DOI -
  • Views 109
  • Downloads 0

How To Cite

XIONG Ying SHEN Qing (2008). Dynamic scheduling based on fuzzy earliest value time first algorithm. Science Paper Online, 3(1), 37-41. https://europub.co.uk/articles/-A-96755