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dc.contributor.authorLiu, Shih-Hsi
dc.contributor.authorBryant, Barrett R.
dc.contributor.authorGray, Jeffrey G.
dc.contributor.authorRaje, Rajeev
dc.contributor.authorOlson, Andrew
dc.contributor.authorAuguston, Mikhail
dc.date.accessioned2014-02-26T17:36:15Z
dc.date.available2014-02-26T17:36:15Z
dc.date.issued2005
dc.identifier.citation2005 ACM Symposium on Applied Computing, March 13-17, 2005, Santa Fe, New Mexico, USA
dc.identifier.urihttp://hdl.handle.net/10945/39154
dc.description.abstractAssuring quality of service (QoS) requirements is critical when assembling a distributed real-time and embedded (DRE) system from a repository of existing software and hardware components. This paper presents a two-level approach for assuring satisfaction of QoS requirements in the context of a reduced design space for DRE systems. Techniques from arti¯cial intelligence and statistics are used to ful¯ll these collective objectives at system assembly time. The result not only lessens the overhead of validation of QoS require- ments at run-time, but also reduces the development and integration cost of DRE systems.en_US
dc.rightsThis publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. As such, it is in the public domain, and under the provisions of Title 17, United States Code, Section 105, may not be copyrighted.en_US
dc.titleTwoLevel Assurance of QoS Requirements for Distributed Realtime and Embedded Systemsen_US
dc.typeArticleen_US
dc.contributor.departmentComputer Science (CS)
dc.subject.authorReal-Timeen_US
dc.subject.authorQuality of Serviceen_US
dc.subject.authorDomain-specific Modelingen_US


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