Finite Horizon QoS Prediction of Reconfigurable Firm Real-Time Sytems

  • Authors:

  • Mehdi Amirijoo;Aleksandra Tesanovic;Torgny Andersson;Jorgen Hansson;Sang H. Son

  • Affiliations:

  • Linkoping University, Sweden;Linkoping University, Sweden;Linkoping University, Sweden;Carnegie Mellon University, USA;University of Virginia, USA

  • Venue:
  • RTCSA '06 Proceedings of the 12th IEEE International Conference on Embedded and Real-Time Computing Systems and Applications
  • Year:
  • 2006

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Abstract

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.