By Topic

A tool for statistical analysis of hard real-time scheduling algorithms

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
Goossens, J. ; Dept. d''Inf., Univ. Libre de Bruxelles, Belgium ; Hernalsteen, Ch.

In this paper we shall consider a simulation language (and a tool) for the simulation of scheduling algorithms for real-time systems. In the first part of this paper we recall some notion on real-time systems and their scheduling algorithms. The second part of the work presents our tool. We first present shortly the simulation kernel which is well suited to simulate the behavior of a single real-time system with some scheduling algorithm. Next, we show the limitations of the simulation kernel and the interest to simulate scheduling algorithms on a large number of task sets in order to be able to perform statistical analysis on scheduling algorithms. We then present the extensions of our tool and the mechanisms we have added for statistical analysis

Published in:

Simulation Symposium, 1998. Proceedings. 31st Annual

Date of Conference:

5-9 Apr 1998