Finite Horizon QoS Prediction of Reconfigurable Firm Real-Time Systems

Report
Authors:Amirijoo, Mehdi, Department of Computer ScienceUniversity of Virginia Tesanovic, Aleksandra, Department of Computer ScienceUniversity of Virginia Andersson, Torgny, Department of Computer ScienceUniversity of Virginia Hansson, Jorgen, Department of Computer ScienceUniversity of Virginia Son, Sang, Department of Computer ScienceUniversity of Virginia
Abstract:

Updating real-time system software is often needed in re- sponse 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, dy- namically updating a system may increase the execution time of the tasks, thus, degrading the performance of the system. Degradation is not acceptable for performance- critical 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 reconfigu- ration satisfies a given worst-case performance specifica- tion. Evaluation shows that the presented method is efficient in guaranteeing the worst-case performance of dynamically reconfigurable firm real-time systems.

Rights:
All rights reserved (no additional license for public reuse)
Language:
English
Source Citation:

Amirijoo, Mehdi, Aleksandra Tesanovic, Torgny Andersson, Jorgen Hansson, and Sang Son. "Finite Horizon QoS Prediction of Reconfigurable Firm Real-Time Systems." University of Virginia Dept. of Computer Science Tech Report (2006).

Publisher:
University of Virginia, Department of Computer Science
Published Date:
2006