You are required to read and agree to the below before accessing a full-text version of an article in the IDE article repository.

The full-text document you are about to access is subject to national and international copyright laws. In most cases (but not necessarily all) the consequence is that personal use is allowed given that the copyright owner is duly acknowledged and respected. All other use (typically) require an explicit permission (often in writing) by the copyright owner.

For the reports in this repository we specifically note that

  • the use of articles under IEEE copyright is governed by the IEEE copyright policy (available at http://www.ieee.org/web/publications/rights/copyrightpolicy.html)
  • the use of articles under ACM copyright is governed by the ACM copyright policy (available at http://www.acm.org/pubs/copyright_policy/)
  • technical reports and other articles issued by M‰lardalen University is free for personal use. For other use, the explicit consent of the authors is required
  • in other cases, please contact the copyright owner for detailed information

By accepting I agree to acknowledge and respect the rights of the copyright owner of the document I am about to access.

If you are in doubt, feel free to contact webmaster@ide.mdh.se

Asynchronous Signal Paradigm and AI for Soft Real Time Systems

Fulltext:


Authors:

Peter Funk, Janet Wennersten (Ericsson AB)

Publication Type:

Report

Abstract

Decomposition into communicating asynchronous entities is often chosen as solution for both telecommunications systems and for real time AI systems [Dodhaiwala et al. 89]. This in contrast to the trend to increase the abstraction level of real time programming by introducing features and paradigms from main stream time sharing systems with an operating system man-aging garbage collection, process scheduling, etc. For large complex concurrent real time systems which are signal centered, a main stream specification and implementation approach makes it difficult to meet requirements (response time, reliability, etc.). It is also difficult to analyze the overall behavior of the system. A real time language (called PLEX) combined with a real time operating system and processor, all based on an asynchronous signaling paradigm, has proven to be efficient [Hemdal 1998] for asynchronously communicating real time applications (large telecommunications systems with millions of lines of PLEX code are in operation). PLEX and Petri Nets show similarities and by specifying behavioral parts with Petri Nets [Jensen 1997] powerful analysis tools (liveness, deadlock, etc.) are available. In this paper we analyze the benefits emerging from combining PLEX with Petri Nets, enabling both an efficient implementation and analysis of behavior.

Bibtex

@techreport{Funk234,
author = {Peter Funk and Janet Wennersten (Ericsson AB)},
title = {Asynchronous Signal Paradigm and AI for Soft Real Time Systems},
month = {March},
year = {2000},
url = {http://www.es.mdu.se/publications/234-}
}