NDLI: How Hard is Partitioning for the Sporadic Task Model?

Content Provider	IEEE Xplore Digital Library
Author	Fisher, N.
Copyright Year	2009
Abstract	Partitioning n independent sporadic real-time tasks among m identical processors is known to be an NP-hard in the strong sense (by transformation from bin-packing). Therefore, current research on partitioning has focused on developing and analyzing various heuristics and approximation algorithms. However, currently only ``loose'' fundamental limits of approximation (trivially based on the known limits for bin packing and partitioning periodic tasks) are known for partitioning sporadic tasks. In this position paper, we briefly summarize known resource-augmentation approximation ratio results for sporadic task systems and argue for further theoretic investigation of approximation schemes and lower bounds for this problem. We believe the results of such an investigation will be invaluable (beyond their theoretic implications) to the real-time multicore system designer; such results will inform the system designer on the relative benefits and disadvantages of various task allocation strategies.
Starting Page	2
Ending Page	5
File Size	160480
Page Count	4
File Format	PDF
ISBN	9781424449231
ISSN	15302016
DOI	10.1109/ICPPW.2009.32
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-09-22
Publisher Place	Austria
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Processor scheduling Multicore processing Scheduling algorithm Real time systems Job shop scheduling Computer architecture Algorithm design and analysis Approximation algorithms Embedded system Context modeling approximation algorithms partitioned scheduling sporadic task systems resource augmentation
Content Type	Text
Resource Type	Article

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