Show simple item record

dc.contributor.authorSeto, Danbingen_US
dc.contributor.authorLehoczky, John P.en_US
dc.contributor.authorSha, Luien_US
dc.contributor.authorShin, Kang G.en_US
dc.date.accessioned2006-09-11T19:43:22Z
dc.date.available2006-09-11T19:43:22Z
dc.date.issued2001-11en_US
dc.identifier.citationSeto, Danbing; Lehoczky, John P.; Sha, Lui; Shin, Kang G.; (2001). "Trade-Off Analysis of Real-Time Control Performance and Schedulability*." Real-Time Systems 21(3): 199-217. <http://hdl.handle.net/2027.42/48063>en_US
dc.identifier.issn0922-6443en_US
dc.identifier.issn1573-1383en_US
dc.identifier.urihttps://hdl.handle.net/2027.42/48063
dc.description.abstractMost real-time computer-controlled systems are developed in two separate stages: controller design followed by its digital implementation. Computational tasks that implement the control algorithms are usually scheduled by treating their execution times and periods as unchangeable parameters. Task schedulability therefore depends only on the limited computing resources available. On the other hand, controller design is primarily based on the continuous-time dynamics of the physical system being controlled. The set of tasks resulting from this controller design may not be schedulable with the limited computing resources available. Even if the given set of tasks is schedulable, their overall performance may not be optimal in the sense that they do not make a full use of the computing resources. In this paper, we propose an integrated approach to controller design and task scheduling. Specifically, task frequencies (or periods) are allowed to vary within a certain range as long as such changes do not affect critical control functions such as the maintenance of system stability. We present an algorithm that determines the task frequencies such that a prescribed aspect of system performance is optimized subject to satisfaction of computing resource constraints. The tasks are then scheduled with the chosen frequencies. The proposed approach also addresses the issue of choosing controller processors.en_US
dc.format.extent468693 bytes
dc.format.extent3115 bytes
dc.format.mimetypeapplication/pdf
dc.format.mimetypetext/plain
dc.language.isoen_US
dc.publisherKluwer Academic Publishers; Springer Science+Business Mediaen_US
dc.subject.otherComputer Scienceen_US
dc.subject.otherProcessor Architecturesen_US
dc.subject.otherSpecial Purpose and Application-Based Systemsen_US
dc.subject.otherOperating Systemsen_US
dc.subject.otherComputing Methodologiesen_US
dc.subject.otherReal-time Controlen_US
dc.subject.otherTask Schedulabilityen_US
dc.subject.otherResource Managementen_US
dc.titleTrade-Off Analysis of Real-Time Control Performance and Schedulability*en_US
dc.typeArticleen_US
dc.subject.hlbsecondlevelManagementen_US
dc.subject.hlbsecondlevelComputer Scienceen_US
dc.subject.hlbsecondlevelBusiness (General)en_US
dc.subject.hlbsecondlevelEconomicsen_US
dc.subject.hlbtoplevelBusinessen_US
dc.subject.hlbtoplevelEngineeringen_US
dc.description.peerreviewedPeer Revieweden_US
dc.contributor.affiliationumReal-Time Computing Laboratory, Department of Electrical Engineering and Computer Science, The University of Michigan, Ann Arbor, MI, 48109en_US
dc.contributor.affiliationotherPratt & Whitney, United Technologies Corp., 400 Main Street, MS 163-14, East Hartford, CT, 06108en_US
dc.contributor.affiliationotherDepartment of Statistics, Carnegie Mellon University, Pittsburgh, PA, 15213en_US
dc.contributor.affiliationotherDepartment of Computer Science, University of Illinois, 1304 W. Springfield Avenue, Urbana, IL, 61801en_US
dc.contributor.affiliationumcampusAnn Arboren_US
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/48063/1/11241_2004_Article_354984.pdfen_US
dc.identifier.doihttp://dx.doi.org/10.1023/A:1011151320157en_US
dc.identifier.sourceReal-Time Systemsen_US
dc.owningcollnameInterdisciplinary and Peer-Reviewed


Files in this item

Show simple item record