NDLI: A Statistical Approach to Response-Time Analysis of Complex Embedded Real-Time Systems

Content Provider	IEEE Xplore Digital Library
Author	Yue Lu Nolte, T. Kraft, J. Norstrom, C.
Copyright Year	2010
Abstract	This paper presents Rapid RT, a novel statistical approach to Worst-Case Response-Time (WCRT) analysis targeting complex embedded real-time systems. The proposed algorithm combines Extreme Value Theory (EVT) and other statistical methods in order to produce a probabilistic WCRT estimate. This estimate is calculated using response time data from either Monte Carlo simulations of a detailed model of the system, or from response-time measurements of the real system. The method could be considered as a pragmatic approach intended for complex industrial systems with real-time requirements. The target systems contain tasks with many intricate dependencies in their temporal behavior, which violates the assumptions of traditional analytical methods for response time analysis and thereby makes them overly pessimistic. An evaluation is presented using two simulation models, inspired by an industrial robotic control system, and five other methods as reference.
Starting Page	153
Ending Page	160
File Size	268693
Page Count	8
File Format	PDF
ISBN	9781424484805
ISSN	15332306
DOI	10.1109/RTCSA.2010.13
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-08-23
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Data models Time factors Real time systems Estimation Analytical models Upper bound Monte Carlo methods
Content Type	Text
Resource Type	Article

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