A synthetic workload for a distributed real-time system

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dc.contributor.author Kiskis, Daniel L. en_US
dc.contributor.author Shin, Kang G. en_US
dc.date.accessioned 2006-09-11T19:42:28Z
dc.date.available 2006-09-11T19:42:28Z
dc.date.issued 1996-07 en_US
dc.identifier.citation Kiskis, 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.issn 0922-6443 en_US
dc.identifier.issn 1573-1383 en_US
dc.identifier.uri http://hdl.handle.net/2027.42/48055
dc.description.abstract In 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.extent 820855 bytes
dc.format.extent 3115 bytes
dc.format.mimetype application/pdf
dc.format.mimetype text/plain
dc.language.iso en_US
dc.publisher Kluwer Academic Publishers; Springer Science+Business Media en_US
dc.subject.other Computer Science en_US
dc.subject.other Processor Architectures en_US
dc.subject.other Special Purpose and Application-Based Systems en_US
dc.subject.other Operating Systems en_US
dc.subject.other Computing Methodologies en_US
dc.title A synthetic workload for a distributed real-time system en_US
dc.type Article en_US
dc.subject.hlbsecondlevel Management en_US
dc.subject.hlbsecondlevel Computer Science en_US
dc.subject.hlbsecondlevel Business (General) en_US
dc.subject.hlbsecondlevel Economics en_US
dc.subject.hlbtoplevel Business en_US
dc.subject.hlbtoplevel Engineering en_US
dc.description.peerreviewed Peer Reviewed en_US
dc.contributor.affiliationum Real-Time Computing Laboratory, Department of Electrical Engineering and Computer Science, The University of Michigan, 48109-2122, Ann Arbor, Michigan, USA en_US
dc.contributor.affiliationum Real-Time Computing Laboratory, Department of Electrical Engineering and Computer Science, The University of Michigan, 48109-2122, Ann Arbor, Michigan, USA en_US
dc.contributor.affiliationumcampus Ann Arbor en_US
dc.description.bitstreamurl http://deepblue.lib.umich.edu/bitstream/2027.42/48055/1/11241_2004_Article_BF00365518.pdf en_US
dc.identifier.doi http://dx.doi.org/10.1007/BF00365518 en_US
dc.identifier.source Real-Time Systems en_US
dc.owningcollname Interdisciplinary and Peer-Reviewed
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