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A synthetic workload for a distributed real-time system
dc.contributor.authorKiskis, Daniel L.en_US
dc.contributor.authorShin, Kang G.en_US
dc.date.accessioned2006-09-11T19:42:28Z
dc.date.available2006-09-11T19:42:28Z
dc.date.issued1996-07en_US
dc.identifier.citationKiskis, Daniel L.; Shin, Kang G.; (1996). "A synthetic workload for a distributed real-time system." Real-Time Systems 11(1): 5-18. <http://hdl.handle.net/2027.42/48055>en_US
dc.identifier.issn0922-6443en_US
dc.identifier.issn1573-1383en_US
dc.identifier.urihttps://hdl.handle.net/2027.42/48055
dc.description.abstractIn this paper, we describe the design and implementation of a synthetic workload (SW) for a distributed real-time system. A SW is a set of parameterized synthetic or artificial programs which serve as the workload for a system under study. The parameterized nature of the programs allows the user to change their behavior to create different resource demands on the system. The SW is easy to use, flexible, and can be representative of a real-time workload. The SW consists of a driver and a set of synthetic tasks. The synthetic tasks are generated by a synthetic workload generator (SWG) from the user's specification written in SWSL, a synthetic workload specification language. We describe the design goals of our SW and discuss its software structure and how it meets these goals.en_US
dc.format.extent820855 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.titleA synthetic workload for a distributed real-time systemen_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, 48109-2122, Ann Arbor, Michigan, USAen_US
dc.contributor.affiliationumReal-Time Computing Laboratory, Department of Electrical Engineering and Computer Science, The University of Michigan, 48109-2122, Ann Arbor, Michigan, USAen_US
dc.contributor.affiliationumcampusAnn Arboren_US
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/48055/1/11241_2004_Article_BF00365518.pdfen_US
dc.identifier.doihttp://dx.doi.org/10.1007/BF00365518en_US
dc.identifier.sourceReal-Time Systemsen_US
dc.owningcollnameInterdisciplinary and Peer-Reviewed


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