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Minimization of Useless Work in Resource Failure Recovery of Workflow Schedules

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F18%3A10391936" target="_blank" >RIV/00216208:11320/18:10391936 - isvavai.cz</a>

  • Alternative codes found

    RIV/68407700:21230/17:00315394 RIV/68407700:21730/17:00315394

  • Result on the web

    <a href="https://doi.org/10.1109/ETFA.2017.8247624" target="_blank" >https://doi.org/10.1109/ETFA.2017.8247624</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1109/ETFA.2017.8247624" target="_blank" >10.1109/ETFA.2017.8247624</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Minimization of Useless Work in Resource Failure Recovery of Workflow Schedules

  • Original language description

    Real-life scheduling has to face many difficulties such as dynamics of manufacturing environments with unforeseen events occurring during the execution of a schedule. Namely, in the case of a resource failure, it may be necessary to process a lot of work again, or a feasible schedule recovery may not exist at all. Moreover, the time window within which the ongoing schedule must be updated may be very short, and too time-consuming computation of the schedule may lead to a failure of the scheduling mechanism and setback in production. Our approach in the area of predictive-reactive scheduling is to allow for substitution of tasks, which cannot be executed, with a set of alternative tasks. This paper makes use of the model of the hierarchical workflows and gives an SMT and a CSP models to recover an ongoing schedule from a resource failure with the objective to minimize the work processed in vain. The experimental analysis identified parameters for which the SMT model clearly outperforms the CSP model and vice versa.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Result continuities

  • Project

    <a href="/en/project/GA15-19877S" target="_blank" >GA15-19877S: Automated Knowledge and Plan Modeling for Autonomous Robots</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2018

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    2017 22ND IEEE INTERNATIONAL CONFERENCE ON EMERGING TECHNOLOGIES AND FACTORY AUTOMATION (ETFA)

  • ISBN

    978-1-5090-6505-9

  • ISSN

    1946-0740

  • e-ISSN

    neuvedeno

  • Number of pages

    8

  • Pages from-to

  • Publisher name

    IEEE

  • Place of publication

    NEW YORK

  • Event location

    Limassol

  • Event date

    Sep 12, 2017

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article

    000427812000059