Pareto-based soft real-time task scheduling in multiprocessor systems

J. Oh, H. Bahn, C. Wu, K. Koh

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

5 Scopus citations


We develop a new method to map (i.e. allocate and schedule) real-time applications into certain multiprocessor systems. Its objectives are: the minimization of the number of processors used; and the minimization of the deadline missing time. Given a parallel program with real time constraints and a multiprocessor system, our method finds schedules of the program in the system which satisfy all the real time constraints with minimum number of processors. The minimization is carried out through a Pareto-based genetic algorithm which independently considers the both goals, because they are non-commensurable criteria. Experimental results show that our scheduling algorithm achieved better performance than previous ones. The advantage of our method is that the algorithm produces not a single solution but a family of solutions known as the Pareto-optimal set, out of which designers can select optimal solutions appropriate for their environmental conditions.

Original languageEnglish
Title of host publicationProceedings - 7th Asia-Pacific Software Engineering Conference, APSEC 2000
PublisherIEEE Computer Society
Number of pages5
ISBN (Electronic)0769509150
StatePublished - 2000
Event7th Asia-Pacific Software Engineering Conference, APSEC 2000 - Singapore, Singapore
Duration: 5 Dec 20008 Dec 2000

Publication series

NameProceedings - Asia-Pacific Software Engineering Conference, APSEC
ISSN (Print)1530-1362


Conference7th Asia-Pacific Software Engineering Conference, APSEC 2000

Bibliographical note

Publisher Copyright:
© 2000 IEEE.


  • Algorithm design and analysis
  • Application software
  • Computer science
  • Genetic algorithms
  • Minimization methods
  • Multiprocessing systems
  • Optimal scheduling
  • Processor scheduling
  • Real time systems
  • Scheduling algorithm


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