By the same authors

A Framework For The Evaluation Of Measurement-based Timing Analyses

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Standard

A Framework For The Evaluation Of Measurement-based Timing Analyses. / Lesage, Benjamin; Griffin, David; Soboczenski, Frank; Bate, Iain; Davis, Robert I.

23rd International Conference on Real-Time Networks and Systems (RTNS): Proceedings of the 23rd International Conference on Real Time and Networks Systems. New York : ACM, 2015. p. 35-44.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Harvard

Lesage, B, Griffin, D, Soboczenski, F, Bate, I & Davis, RI 2015, A Framework For The Evaluation Of Measurement-based Timing Analyses. in 23rd International Conference on Real-Time Networks and Systems (RTNS): Proceedings of the 23rd International Conference on Real Time and Networks Systems. ACM, New York, pp. 35-44, 23rd International Conference on Real-Time Network Systems (RTNS 2015), United Kingdom, 4/11/15. https://doi.org/10.1145/2834848.2834858

APA

Lesage, B., Griffin, D., Soboczenski, F., Bate, I., & Davis, R. I. (2015). A Framework For The Evaluation Of Measurement-based Timing Analyses. In 23rd International Conference on Real-Time Networks and Systems (RTNS): Proceedings of the 23rd International Conference on Real Time and Networks Systems (pp. 35-44). New York: ACM. https://doi.org/10.1145/2834848.2834858

Vancouver

Lesage B, Griffin D, Soboczenski F, Bate I, Davis RI. A Framework For The Evaluation Of Measurement-based Timing Analyses. In 23rd International Conference on Real-Time Networks and Systems (RTNS): Proceedings of the 23rd International Conference on Real Time and Networks Systems. New York: ACM. 2015. p. 35-44 https://doi.org/10.1145/2834848.2834858

Author

Lesage, Benjamin ; Griffin, David ; Soboczenski, Frank ; Bate, Iain ; Davis, Robert I. / A Framework For The Evaluation Of Measurement-based Timing Analyses. 23rd International Conference on Real-Time Networks and Systems (RTNS): Proceedings of the 23rd International Conference on Real Time and Networks Systems. New York : ACM, 2015. pp. 35-44

Bibtex - Download

@inproceedings{7c87ce74c2274c3c996031ce63ec4df0,
title = "A Framework For The Evaluation Of Measurement-based Timing Analyses",
abstract = "A key issue with Worst-Case Execution Time (WCET) analyses is the evaluation of the tightness and soundness of the results produced. In the absence of a ground truth, i.e. the Actual WCET (AWCET), such evaluations rely on comparison between different estimates or observed values. In this paper, we introduce a framework for the evaluation of measurement-based timing analyses. This framework uses abstract models of synthetic tasks to provide realistic execution time data as input to the analyses, while ensuring that a corresponding AWCET can be computed. The effectiveness of the framework is demonstrated by evaluating the impact of imperfect structural coverage on an existing measurement-based probabilistic timing analysis.",
author = "Benjamin Lesage and David Griffin and Frank Soboczenski and Iain Bate and Davis, {Robert I.}",
year = "2015",
month = "11",
doi = "10.1145/2834848.2834858",
language = "English",
isbn = "978-1-4503-3591-1",
pages = "35--44",
booktitle = "23rd International Conference on Real-Time Networks and Systems (RTNS)",
publisher = "ACM",

}

RIS (suitable for import to EndNote) - Download

TY - GEN

T1 - A Framework For The Evaluation Of Measurement-based Timing Analyses

AU - Lesage, Benjamin

AU - Griffin, David

AU - Soboczenski, Frank

AU - Bate, Iain

AU - Davis, Robert I.

PY - 2015/11

Y1 - 2015/11

N2 - A key issue with Worst-Case Execution Time (WCET) analyses is the evaluation of the tightness and soundness of the results produced. In the absence of a ground truth, i.e. the Actual WCET (AWCET), such evaluations rely on comparison between different estimates or observed values. In this paper, we introduce a framework for the evaluation of measurement-based timing analyses. This framework uses abstract models of synthetic tasks to provide realistic execution time data as input to the analyses, while ensuring that a corresponding AWCET can be computed. The effectiveness of the framework is demonstrated by evaluating the impact of imperfect structural coverage on an existing measurement-based probabilistic timing analysis.

AB - A key issue with Worst-Case Execution Time (WCET) analyses is the evaluation of the tightness and soundness of the results produced. In the absence of a ground truth, i.e. the Actual WCET (AWCET), such evaluations rely on comparison between different estimates or observed values. In this paper, we introduce a framework for the evaluation of measurement-based timing analyses. This framework uses abstract models of synthetic tasks to provide realistic execution time data as input to the analyses, while ensuring that a corresponding AWCET can be computed. The effectiveness of the framework is demonstrated by evaluating the impact of imperfect structural coverage on an existing measurement-based probabilistic timing analysis.

U2 - 10.1145/2834848.2834858

DO - 10.1145/2834848.2834858

M3 - Conference contribution

SN - 978-1-4503-3591-1

SP - 35

EP - 44

BT - 23rd International Conference on Real-Time Networks and Systems (RTNS)

PB - ACM

CY - New York

ER -