Scheduling with uncertain processing times in mixed-criticality systems
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F19%3A00332277" target="_blank" >RIV/68407700:21230/19:00332277 - isvavai.cz</a>
Nalezeny alternativní kódy
RIV/68407700:21730/19:00332277
Výsledek na webu
<a href="https://doi.org/10.1016/j.ejor.2019.05.038" target="_blank" >https://doi.org/10.1016/j.ejor.2019.05.038</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1016/j.ejor.2019.05.038" target="_blank" >10.1016/j.ejor.2019.05.038</a>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Scheduling with uncertain processing times in mixed-criticality systems
Popis výsledku v původním jazyce
Many scheduling problems that can be identified inside safety-critical applications, such as in autonomous cars, tend to be mixed-critical. Such scheduling problems consider tasks to have different criticalities depending on the safety levels (activation of brakes vs. activation of air-conditioning). The biggest challenge in those scheduling problems arises from the uncertainty of processing times as it disturbs the predictability of the system and thus makes the certification of the system difficult. To overcome this uncertainty, we model the tasks to have multiple processing times concerning their criticality. This approach converts these scheduling problems into a deterministic scheduling with alternative processing times. Here, we study an NP-hard single machine scheduling problem with makespan minimization, where the non-preemptive tasks can have multiple processing times. To solve the problem, we propose an approximation algorithm, a novel mixed-integer linear programming block formulation, and an efficient exact branch-and-price decomposition for two criticality levels. Furthermore, we demonstrate that the optimal schedules are represented as trees, which enables to formulate an exact algorithm for the problem with three criticality levels. The efficiency of the proposed method is demonstrated for difficult problem instances with up to 1000 tasks. The experimental evaluation demonstrates that our algorithms have improved the results of the best-known method by nearly two orders of magnitude.
Název v anglickém jazyce
Scheduling with uncertain processing times in mixed-criticality systems
Popis výsledku anglicky
Many scheduling problems that can be identified inside safety-critical applications, such as in autonomous cars, tend to be mixed-critical. Such scheduling problems consider tasks to have different criticalities depending on the safety levels (activation of brakes vs. activation of air-conditioning). The biggest challenge in those scheduling problems arises from the uncertainty of processing times as it disturbs the predictability of the system and thus makes the certification of the system difficult. To overcome this uncertainty, we model the tasks to have multiple processing times concerning their criticality. This approach converts these scheduling problems into a deterministic scheduling with alternative processing times. Here, we study an NP-hard single machine scheduling problem with makespan minimization, where the non-preemptive tasks can have multiple processing times. To solve the problem, we propose an approximation algorithm, a novel mixed-integer linear programming block formulation, and an efficient exact branch-and-price decomposition for two criticality levels. Furthermore, we demonstrate that the optimal schedules are represented as trees, which enables to formulate an exact algorithm for the problem with three criticality levels. The efficiency of the proposed method is demonstrated for difficult problem instances with up to 1000 tasks. The experimental evaluation demonstrates that our algorithms have improved the results of the best-known method by nearly two orders of magnitude.
Klasifikace
Druh
J<sub>imp</sub> - Článek v periodiku v databázi Web of Science
CEP obor
—
OECD FORD obor
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Návaznosti výsledku
Projekt
Výsledek vznikl pri realizaci vícero projektů. Více informací v záložce Projekty.
Návaznosti
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Ostatní
Rok uplatnění
2019
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název periodika
European Journal of Operational Research
ISSN
0377-2217
e-ISSN
1872-6860
Svazek periodika
279
Číslo periodika v rámci svazku
3
Stát vydavatele periodika
NL - Nizozemsko
Počet stran výsledku
17
Strana od-do
687-703
Kód UT WoS článku
000481560600002
EID výsledku v databázi Scopus
2-s2.0-85068037622