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Finite Horizon QoS Prediction of Reconfigurable Firm Real-Time Sytems
Sydney, Australia August 16-August 18
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/RTCSA.2006.3212th IEEE International Conference on ...
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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
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@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
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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
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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