NDLI: Genetic approach for real-time scheduling on multiprocessor systems

Content Provider	IEEE Xplore Digital Library
Author	Sebestyen, G. Hangan, A.
Copyright Year	2012
Description	Author affiliation: Computer Science Department, Technical University of Cluj-Napoca, Romania (Sebestyen, G.; Hangan, A.)
Abstract	Real-time scheduling of concurrent tasks on multiprocessor systems is a complex job, which implies finding a feasible solution in a multi-dimensional space. In order to reduce the search time we propose a genetic approach for two important aspects of the scheduling problem: task allocation and deadline assignment. We combine a genetic search engine with a simulation tool in order to find a scheduling strategy that assures the fulfillment of all time restrictions. Our system model includes a wide range of multiprocessor systems, from parallel systems to network-based distributed ones and from independent task sets to chains of tasks organized as concurrent transactions. The paper gives details regarding the adaptation of genetic operators for the scheduling problem.
Starting Page	267
Ending Page	272
File Size	158848
Page Count	6
File Format	PDF
ISBN	9781467329538
e-ISBN	9781467329521
DOI	10.1109/ICCP.2012.6356198
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-08-30
Publisher Place	Romania
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Processor scheduling Sociology real-time systems real-time transactions scheduling Real-time systems Scheduling genetic algorithms Resource management Statistics Genetic algorithms
Content Type	Text
Resource Type	Article

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