Analyzing the Real-Time Properties of a U.S. Navy Signal Processing System

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Analyzing the Real-Time Properties of a U.S. Navy Signal Processing System (1999)

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by Steve Goddard , Kevin Jeffay

Venue:	Proc. 4th IEEE Int. Symp. on High Assurance Systems Engineering
Citations:	1 - 1 self

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@INPROCEEDINGS{Goddard99analyzingthe,
    author = {Steve Goddard and Kevin Jeffay},
    title = {Analyzing the Real-Time Properties of a U.S. Navy Signal Processing System},
    booktitle = {Proc. 4th IEEE Int. Symp. on High Assurance Systems Engineering},
    year = {1999},
    pages = {141--150},
    publisher = {IEEE Computer Society Press}
}

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Abstract

The state of the art in verifying the real-time requirements of applications developed using general processing graph models relies on simulation or off-line scheduling. We extend the state of the art by presenting analytical methods that support the analysis of cyclic processing graphs executed with on-line schedulers. We show that it is possible to compute the latency inherent in a processing graph independent of the hardware hosting the application. We also show how to compute the real-time execution rate of each node in the graph. Using the execution rate of each node and the time it takes per execution on a given processor, the resulting CPU utilization can be computed, as shown here for the Directed Low Frequency Analysis and Recording (DIFAR) acoustic signal processing application from the Airborne Low Frequency Sonar (ALFS) system of the SH-60B LAMPS MK III anti-submarine helicopter. 1. Introduction We present the analysis and verification of the real-time properties of an em...

Keyphrases

real-time property u.s. navy signal processing system cyclic processing graph analytical method acoustic signal processing application directed low frequency analysis on-line scheduler off-line scheduling general processing graph model relies real-time execution rate cpu utilization execution rate latency inherent processing graph real-time requirement airborne low frequency sonar

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