The Community for Technology Leaders
RSS Icon
Sydney, Australia
Aug. 16, 2006 to Aug. 18, 2006
ISBN: 0-7695-2676-4
pp: 233-241
Mehdi Amirijoo , Linkoping University, Sweden
Aleksandra Tesanovic , Linkoping University, Sweden
Torgny Andersson , Linkoping University, Sweden
Jorgen Hansson , Carnegie Mellon University, USA
Sang H. Son , University of Virginia, USA
Updating real-time system software is often needed in response to errors and added requirements to the software. Stopping a running application, updating the software, and then restarting the application is not suitable for systems with high availability requirements. On the other hand, dynamically updating a system may increase the execution time of the tasks, thus, degrading the performance of the system. Degradation is not acceptable for performancecritical real-time systems as there are strict requirements on the performance. In this paper we present an approach that enables dynamic reconfiguration of a real-time system, where the performance of the system during a reconfiguration satisfies a given worst-case performance specification. Evaluation shows that the presented method is efficient in guaranteeing the worst-case performance of dynamically reconfigurable firm real-time systems.
Mehdi Amirijoo, Aleksandra Tesanovic, Torgny Andersson, Jorgen Hansson, Sang H. Son, "Finite Horizon QoS Prediction of Reconfigurable Firm Real-Time Sytems", RTCSA, 2006, 2013 IEEE 19th International Conference on Embedded and Real-Time Computing Systems and Applications, 2013 IEEE 19th International Conference on Embedded and Real-Time Computing Systems and Applications 2006, pp. 233-241, doi:10.1109/RTCSA.2006.32
3 ms
(Ver 2.0)

Marketing Automation Platform Marketing Automation Tool