NDLI: The partitioned scheduling of sporadic real-time tasks on multiprocessor platforms

Content Provider	IEEE Xplore Digital Library
Author	Baruah, S. Fisher, N.
Copyright Year	2005
Description	Author affiliation: North Carolina Univ., USA (Baruah, S.; Fisher, N.)
Abstract	In the sporadic task model, a task is characterized by three parameters $an execution requirement, a relative deadline, and a period parameter - and has the interpretation that it generates an infinite sequence of jobs, such that (i) the arrival-times of any two successive jobs are separated by a time-interval at least as long as the period parameter; (ii) each job has a deadline that is separated from its arrival-time by a time-interval exactly equal to the relative deadline parameter of the task; and (iii) each job must execute for an amount equal to its execution requirement by its deadline. Most previous research concerning the scheduling of collections of sporadic tasks upon multiprocessor platforms has added the additional constraint that all tasks have their relative deadline parameters equal to their period parameters. In this research, we consider the scheduling of systems of sporadic tasks that do not necessarily satisfy this additional constraint, upon preemptive multiprocessor platforms. We propose, and evaluate, an algorithm for partitioning a given collection of arbitrary sporadic tasks upon a specified number of preemptive processors such that all deadlines are guaranteed to always be met.
Sponsorship	Int. Assoc. for Comput. and Commun. (IACC) Simula Res. Lab. The Res. Council of Norway The Univ. of Oslo
Starting Page	346
Ending Page	353
File Size	303848
Page Count	8
File Format	PDF
ISBN	0769523811
ISSN	15302016
DOI	10.1109/ICPPW.2005.83
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2005-06-14
Publisher Place	Norway
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Processor scheduling Character generation Partitioning algorithms Law Legal factors Scheduling algorithm Multiprocessing systems Job design Algorithm design and analysis Resumes shared-memory multiprocessors Sporadic tasks partitioned scheduling
Content Type	Text
Resource Type	Article

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