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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao https://doi.org/10.1...arrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
https://doi.org/10.1109/etfa.2...
Article . 2012 . Peer-reviewed
License: STM Policy #29
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Conference object . 2017
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Analysis of real-time systems using convolution of probability mass function

Authors: Stanislaw Widel; Jaroslaw Flak; Arkadiusz Jestratjew; Piotr Gaj;

Analysis of real-time systems using convolution of probability mass function

Abstract

The article refers to real-time systems, especially being used in industry as IT systems with time constraints. A typical analysis of such systems is based generally on the maximum values, which can be useful to determine the time characteristic in worst cases of system run. The proposed method is based on all values being available to measure used in the form of probability mass functions. This method uses the convolution and deconvolution of temporal characteristics of system sub-processes. It is shown that this approach can be used to verify the assumption that the maximum response time of a given complex system is the sum of maximum response times of its parallel executed sub-processes.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1
Average
Average
Average
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