Finite horizon QoS prediction of reconfigurable firm real-time systems

Mehdi Amirijoo, Aleksandra Tesanovic, Torgny Andersson, Jörgen Hansson, Sang H. Son

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

4 Scopus citations

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 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 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.

Original languageEnglish
Title of host publication12th IEEE International Conference on Embedded and Real-Time Computing Systems and Applications, RTCSA 2006
PublisherIEEE Computer Society
Pages233-241
Number of pages9
ISBN (Print)0769526764, 9780769526768
DOIs
StatePublished - 2006
Event12th IEEE International Conference on Embedded and Real-Time Computing Systems and Applications, RTCSA 2006 - Sydney, Australia
Duration: 16 Aug 200618 Aug 2006

Publication series

NameProceedings - 12th IEEE International Conference on Embedded and Real-Time Computing Systems and Applications, RTCSA 2006

Conference

Conference12th IEEE International Conference on Embedded and Real-Time Computing Systems and Applications, RTCSA 2006
Country/TerritoryAustralia
CitySydney
Period16/08/0618/08/06

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