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Integrated CORBA Scheduling and Resource Management for Distributed Real-Time Embedded Systems
San Francisco, CA March 07-March 10
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/RTAS.2005.3011th IEEE Real Time and Embedded Tech ...
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Kevin Bryan, University of Rhode Island, Kingston
Lisa C. DiPippo, University of Rhode Island, Kingston
Victor Fay-Wolfe, University of Rhode Island, Kingston
Matthew Murphy, University of Rhode Island, Kingston
Jiangyin Zhang, University of Rhode Island, Kingston
Douglas Niehaus, University of Kansas, Lawrence
David T. Fleeman, Ohio University, Athens
David W. Juedes, Ohio University, Athens
Chang Liu, Ohio University, Athens
Lonnie R. Welch, Ohio University, Athens
Christopher D. Gill, Washington University, St. Louis, Missouri
Integration of middleware scheduling and resource management services enables open distributed real-time embedded (DRE) applications to meet end-to-end quality of service (QoS) requirements in highly variable operating environments. This paper describes our research on integrating CORBA scheduling and resource management services, and presents experiments we conducted to validate and quantify the benefits of this integration.
Our experimental results show that integrating distributed scheduling and resource management in middleware for open DRE systems can offer significant improvements in predictability. Specifically, integrating our stand-alone resource management service with a previously unmanaged experimental baseline application reduced the ratio of missed deadlines from 26% to 10%, and the same application performed even better under the control of integrated scheduling and resource management services, with a missed deadline ratio of only 1%.
Index Terms:
QoS in open systems; integrated scheduling and resource management; CORBA
Citation:
Kevin Bryan, Lisa C. DiPippo, Victor Fay-Wolfe, Matthew Murphy, Jiangyin Zhang, Douglas Niehaus, David T. Fleeman, David W. Juedes, Chang Liu, Lonnie R. Welch, Christopher D. Gill, "Integrated CORBA Scheduling and Resource Management for Distributed Real-Time Embedded Systems," rtas, pp.375-384, 11th IEEE Real Time and Embedded Technology and Applications Symposium (RTAS'05), 2005
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