research-article

Flexible support for time and costs in scenario-aware dataflow

Authors:

Arnd Hartmanns,

Holger Hermanns,

Michael BungertAuthors Info & Claims

EMSOFT '16: Proceedings of the 13th International Conference on Embedded Software

Article No.: 3, Pages 1 - 10

https://doi.org/10.1145/2968478.2968496

Published: 01 October 2016 Publication History

Abstract

Scenario-aware dataflow is a formalism to model modern dynamic embedded applications whose behaviour is heavily dependent on input data or the operational environment. Key behavioural aspects are the execution times and energy consumption of a system's components. In this paper, we introduce flexible scenario-aware dataflow: a proper generalisation of previous definitions that allows any execution time to be specified as discretely or continuously random or nondeterministic. Additionally, it supports the modelling of abstract costs like the energy usage of components. We give a formal compositional semantics in terms of networks of stochastic timed automata. We have implemented support for analysing performance properties of flexible scenario-aware dataflow graphs via simulation and model checking. A number of reduction techniques are applied to make the underlying state spaces tractable for model checking. We evaluate the scalability and performance of our new model and implementation on standard benchmarks.

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Cited By

Budde CD’Argenio PHartmanns ASedwards S(2020)An efficient statistical model checker for nondeterminism and rare eventsInternational Journal on Software Tools for Technology Transfer10.1007/s10009-020-00563-2Online publication date: 28-May-2020
https://doi.org/10.1007/s10009-020-00563-2
Klemp OFakih MGrüttner KStemmer RNebel W(2019)Experimental Evaluation of Scenario Aware Synchronous Data Flow based Power ManagementProceedings of the International Conference on Omni-Layer Intelligent Systems10.1145/3312614.3312634(80-85)Online publication date: 5-May-2019
https://dl.acm.org/doi/10.1145/3312614.3312634
Hahn EHartmanns AHensel CKlauck MKlein JKřetínský JParker DQuatmann TRuijters ESteinmetz M(2019)The 2019 Comparison of Tools for the Analysis of Quantitative Formal ModelsTools and Algorithms for the Construction and Analysis of Systems10.1007/978-3-030-17502-3_5(69-92)Online publication date: 4-Apr-2019
https://doi.org/10.1007/978-3-030-17502-3_5
Show More Cited By

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cover image ACM Other conferences

EMSOFT '16: Proceedings of the 13th International Conference on Embedded Software

October 2016

260 pages

ISBN:9781450344852

DOI:10.1145/2968478

Copyright © 2016 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 01 October 2016

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ESWEEK'16

ESWEEK'16: TWELFTH EMBEDDED SYSTEM WEEK

October 1 - 7, 2016

Pennsylvania, Pittsburgh

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Overall Acceptance Rate 60 of 203 submissions, 30%

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Cited By

Budde CD’Argenio PHartmanns ASedwards S(2020)An efficient statistical model checker for nondeterminism and rare eventsInternational Journal on Software Tools for Technology Transfer10.1007/s10009-020-00563-2Online publication date: 28-May-2020
https://doi.org/10.1007/s10009-020-00563-2
Klemp OFakih MGrüttner KStemmer RNebel W(2019)Experimental Evaluation of Scenario Aware Synchronous Data Flow based Power ManagementProceedings of the International Conference on Omni-Layer Intelligent Systems10.1145/3312614.3312634(80-85)Online publication date: 5-May-2019
https://dl.acm.org/doi/10.1145/3312614.3312634
Hahn EHartmanns AHensel CKlauck MKlein JKřetínský JParker DQuatmann TRuijters ESteinmetz M(2019)The 2019 Comparison of Tools for the Analysis of Quantitative Formal ModelsTools and Algorithms for the Construction and Analysis of Systems10.1007/978-3-030-17502-3_5(69-92)Online publication date: 4-Apr-2019
https://doi.org/10.1007/978-3-030-17502-3_5
Theelen BDeprettere EBhattacharyya S(2018)Dynamic Dataflow GraphsHandbook of Signal Processing Systems10.1007/978-3-319-91734-4_32(1173-1210)Online publication date: 14-Oct-2018
https://doi.org/10.1007/978-3-319-91734-4_32
Budde CD’Argenio PHartmanns ASedwards S(2018)A Statistical Model Checker for Nondeterminism and Rare EventsTools and Algorithms for the Construction and Analysis of Systems10.1007/978-3-319-89963-3_20(340-358)Online publication date: 14-Apr-2018
https://doi.org/10.1007/978-3-319-89963-3_20
Hartmanns ASedwards SD'Argenio P(2017)Efficient simulation-based verification of probabilistic timed automataProceedings of the 2017 Winter Simulation Conference10.5555/3242181.3242296(1-12)Online publication date: 3-Dec-2017
https://dl.acm.org/doi/10.5555/3242181.3242296
Hartmanns ASedwards SD'Argenio P(2017)Efficient simulation-based verification of probabilistic timed automata2017 Winter Simulation Conference (WSC)10.1109/WSC.2017.8247885(1419-1430)Online publication date: Dec-2017
https://doi.org/10.1109/WSC.2017.8247885
Graf-Brill AHartmanns AHermanns HRose S(2017)Modelling and certification for electric mobility2017 IEEE 15th International Conference on Industrial Informatics (INDIN)10.1109/INDIN.2017.8104755(109-114)Online publication date: Jul-2017
https://doi.org/10.1109/INDIN.2017.8104755
Budde CDehnert CHahn EHartmanns AJunges STurrini A(2017)JANIProceedings, Part II, of the 23rd International Conference on Tools and Algorithms for the Construction and Analysis of Systems - Volume 1020610.1007/978-3-662-54580-5_9(151-168)Online publication date: 22-Apr-2017
https://dl.acm.org/doi/10.1007/978-3-662-54580-5_9

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