Computing Response Time Distributions Using Iterative Probabilistic Model Checking

Freek van den Berg, Jozef Hooman, Arnd Hartmanns, Boudewijn R.H.M. Haverkort, Anne Katharina Ingrid Remke

    Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

    8 Citations (Scopus)
    9 Downloads (Pure)

    Abstract

    System designers need to have insight in the response times of service systems to see if they meet performance requirements. We present a high-level evaluation technique to obtain the distribution of services completion times. It is based on a high-level domain-specific language that hides the underlying technicalities from the system designer. Under the hood, probabilistic real-time model checking technology is used iteratively to obtain precise bounds and probabilities. This allows reasoning about nondeterministic, probabilistic and real-time aspects in a single evaluation. To reduce the state spaces for analysis, we use two sampling methods (for measurements) that simplify the system model: (i) applying an abstraction on time by increasing the length of a (discrete) model time unit, and (ii) computing only absolute bounds by replacing probabilistic choices with non-deterministic ones. We use an industrial case on image processing of an interventional X-ray system to illustrate our approach.
    Original languageEnglish
    Title of host publicationProceedings of the 12th European Workshop on Computer Performance Engineering (EPEW 2015)
    EditorsMarta Beltran, William Knottenbelt, Jeremy Bradley
    Place of PublicationCham
    PublisherSpringer
    Pages208-224
    Number of pages17
    ISBN (Print)978-3-319-23266-9
    DOIs
    Publication statusPublished - 31 Aug 2015

    Publication series

    NameLecture notes in computer science
    PublisherSpringer Verlag
    Volume9272
    ISSN (Print)0302-9743
    ISSN (Electronic)1611-3349

    Fingerprint

    Model checking
    Image processing
    Sampling
    X rays
    Statistical Models

    Keywords

    • EWI-26291
    • IR-98151
    • METIS-314965

    Cite this

    van den Berg, F., Hooman, J., Hartmanns, A., Haverkort, B. R. H. M., & Remke, A. K. I. (2015). Computing Response Time Distributions Using Iterative Probabilistic Model Checking. In M. Beltran, W. Knottenbelt, & J. Bradley (Eds.), Proceedings of the 12th European Workshop on Computer Performance Engineering (EPEW 2015) (pp. 208-224). (Lecture notes in computer science; Vol. 9272). Cham: Springer. https://doi.org/10.1007/978-3-319-23267-6_14
    van den Berg, Freek ; Hooman, Jozef ; Hartmanns, Arnd ; Haverkort, Boudewijn R.H.M. ; Remke, Anne Katharina Ingrid. / Computing Response Time Distributions Using Iterative Probabilistic Model Checking. Proceedings of the 12th European Workshop on Computer Performance Engineering (EPEW 2015). editor / Marta Beltran ; William Knottenbelt ; Jeremy Bradley. Cham : Springer, 2015. pp. 208-224 (Lecture notes in computer science).
    @inproceedings{789afa556c5341298c13cd2ad630cc8a,
    title = "Computing Response Time Distributions Using Iterative Probabilistic Model Checking",
    abstract = "System designers need to have insight in the response times of service systems to see if they meet performance requirements. We present a high-level evaluation technique to obtain the distribution of services completion times. It is based on a high-level domain-specific language that hides the underlying technicalities from the system designer. Under the hood, probabilistic real-time model checking technology is used iteratively to obtain precise bounds and probabilities. This allows reasoning about nondeterministic, probabilistic and real-time aspects in a single evaluation. To reduce the state spaces for analysis, we use two sampling methods (for measurements) that simplify the system model: (i) applying an abstraction on time by increasing the length of a (discrete) model time unit, and (ii) computing only absolute bounds by replacing probabilistic choices with non-deterministic ones. We use an industrial case on image processing of an interventional X-ray system to illustrate our approach.",
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    note = "eemcs-eprint-26291",
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    van den Berg, F, Hooman, J, Hartmanns, A, Haverkort, BRHM & Remke, AKI 2015, Computing Response Time Distributions Using Iterative Probabilistic Model Checking. in M Beltran, W Knottenbelt & J Bradley (eds), Proceedings of the 12th European Workshop on Computer Performance Engineering (EPEW 2015). Lecture notes in computer science, vol. 9272, Springer, Cham, pp. 208-224. https://doi.org/10.1007/978-3-319-23267-6_14

    Computing Response Time Distributions Using Iterative Probabilistic Model Checking. / van den Berg, Freek; Hooman, Jozef; Hartmanns, Arnd; Haverkort, Boudewijn R.H.M.; Remke, Anne Katharina Ingrid.

    Proceedings of the 12th European Workshop on Computer Performance Engineering (EPEW 2015). ed. / Marta Beltran; William Knottenbelt; Jeremy Bradley. Cham : Springer, 2015. p. 208-224 (Lecture notes in computer science; Vol. 9272).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

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    AU - Remke, Anne Katharina Ingrid

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    N2 - System designers need to have insight in the response times of service systems to see if they meet performance requirements. We present a high-level evaluation technique to obtain the distribution of services completion times. It is based on a high-level domain-specific language that hides the underlying technicalities from the system designer. Under the hood, probabilistic real-time model checking technology is used iteratively to obtain precise bounds and probabilities. This allows reasoning about nondeterministic, probabilistic and real-time aspects in a single evaluation. To reduce the state spaces for analysis, we use two sampling methods (for measurements) that simplify the system model: (i) applying an abstraction on time by increasing the length of a (discrete) model time unit, and (ii) computing only absolute bounds by replacing probabilistic choices with non-deterministic ones. We use an industrial case on image processing of an interventional X-ray system to illustrate our approach.

    AB - System designers need to have insight in the response times of service systems to see if they meet performance requirements. We present a high-level evaluation technique to obtain the distribution of services completion times. It is based on a high-level domain-specific language that hides the underlying technicalities from the system designer. Under the hood, probabilistic real-time model checking technology is used iteratively to obtain precise bounds and probabilities. This allows reasoning about nondeterministic, probabilistic and real-time aspects in a single evaluation. To reduce the state spaces for analysis, we use two sampling methods (for measurements) that simplify the system model: (i) applying an abstraction on time by increasing the length of a (discrete) model time unit, and (ii) computing only absolute bounds by replacing probabilistic choices with non-deterministic ones. We use an industrial case on image processing of an interventional X-ray system to illustrate our approach.

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    van den Berg F, Hooman J, Hartmanns A, Haverkort BRHM, Remke AKI. Computing Response Time Distributions Using Iterative Probabilistic Model Checking. In Beltran M, Knottenbelt W, Bradley J, editors, Proceedings of the 12th European Workshop on Computer Performance Engineering (EPEW 2015). Cham: Springer. 2015. p. 208-224. (Lecture notes in computer science). https://doi.org/10.1007/978-3-319-23267-6_14