Finite Horizon QoS Prediction of Reconfigurable Firm Real-Time Sytems

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	Similar Articles Articles by Mehdi Amirijoo Articles by Aleksandra Tesanovic Articles by Torgny Andersson Articles by Jorgen Hansson Articles by Sang H. Son

12th IEEE International Conference on Embedded and Real-Time Computing Systems and Applications (RTCSA'06)

Sydney, Australia

August 16-August 18

ISBN: 0-7695-2676-4

	ASCII Text	x
	Mehdi Amirijoo, Aleksandra Tesanovic, Torgny Andersson, Jorgen Hansson, Sang H. Son, "Finite Horizon QoS Prediction of Reconfigurable Firm Real-Time Sytems," Real-Time Computing Systems and Applications, International Workshop on, pp. 233-241, 12th IEEE International Conference on Embedded and Real-Time Computing Systems and Applications (RTCSA'06), 2006.

	BibTex	x
	@article{ 10.1109/RTCSA.2006.32, author = {Mehdi Amirijoo and Aleksandra Tesanovic and Torgny Andersson and Jorgen Hansson and Sang H. Son}, title = {Finite Horizon QoS Prediction of Reconfigurable Firm Real-Time Sytems}, journal ={Real-Time Computing Systems and Applications, International Workshop on}, volume = {0}, year = {2006}, issn = {1533-2306}, pages = {233-241}, doi = {http://doi.ieeecomputersociety.org/10.1109/RTCSA.2006.32}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, }

	RefWorks Procite/RefMan/Endnote	x
	TY - CONF JO - Real-Time Computing Systems and Applications, International Workshop on TI - Finite Horizon QoS Prediction of Reconfigurable Firm Real-Time Sytems SN - 1533-2306 SP233 EP241 A1 - Mehdi Amirijoo, A1 - Aleksandra Tesanovic, A1 - Torgny Andersson, A1 - Jorgen Hansson, A1 - Sang H. Son, PY - 2006 KW - null VL - 0 JA - Real-Time Computing Systems and Applications, International Workshop on ER -

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

DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/RTCSA.2006.32

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.

Citation:

Mehdi Amirijoo, Aleksandra Tesanovic, Torgny Andersson, Jorgen Hansson, Sang H. Son, "Finite Horizon QoS Prediction of Reconfigurable Firm Real-Time Sytems," rtcsa, pp.233-241, 12th IEEE International Conference on Embedded and Real-Time Computing Systems and Applications (RTCSA'06), 2006

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