An empirical study of conservative scheduling

  • Authors:
  • Ha Yoon Song;Richard A. Meyer;Rajive Bagrodia

  • Affiliations:
  • UCLA Computer Science Department, Los Angeles, CA;UCLA Computer Science Department, Los Angeles, CA;UCLA Computer Science Department, Los Angeles, CA

  • Venue:
  • PADS '00 Proceedings of the fourteenth workshop on Parallel and distributed simulation
  • Year:
  • 2000

Quantified Score

Hi-index 0.00

Visualization

Abstract

It is well known that the critical path provides an absolute lower bound on the execution time of a conservative parallel discrete event simulation. It stands to reason that optimal execution time can only be achieved by immediately executing each event on the critical path. However, dynamically identifying the critical event is difficult, if not impossible. In this paper, we examine several heuristics that might help to determine the critical event, and conduct a performance study to determine the effectiveness of using these heuristics for preferential scheduling.