Automatic Compilation of Performance Models for Industrial Multi-Agent Systems

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F15%3A00237576" target="_blank" >RIV/68407700:21230/15:00237576 - isvavai.cz</a>

Nalezeny alternativní kódy

RIV/68407700:21730/15:00237576

Výsledek na webu

<a href="https://doi.org/10.1109/ETFA.2015.7301495" target="_blank" >https://doi.org/10.1109/ETFA.2015.7301495</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1109/ETFA.2015.7301495" target="_blank" >10.1109/ETFA.2015.7301495</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Automatic Compilation of Performance Models for Industrial Multi-Agent Systems

Popis výsledku v původním jazyce

Industry 4.0 compliant Multi-Agent Systems (MAS) rely on a modular structure of applications. However, there is a lack of efficient methods to identify the performance limits of MAS, such as response time or system throughput. This methodological gap complicates the design of commercial MAS with strict performance requirements. This paper (i) proposes a method for automatic compilation of performance models from system logs and (ii) introduces methods based on Queueing Networks to identify the performance limits of a MAS. The outcome of the method is a semi-automatically assembled Queueing Network. It is a mathematical abstraction for modeling and simulation of system performance, which is consequently used by the system developer to validate that the MAS meets the performance requirements. The proposed method is demonstrated on a test-bed made of six minicomputers Raspberry Pi that host agents implemented in Jade Environment. This method brings the future modular industrial systems with emergent behavioral patterns nearer to broad acceptance by industrial enterprises.

Název v anglickém jazyce

Automatic Compilation of Performance Models for Industrial Multi-Agent Systems

Popis výsledku anglicky

Industry 4.0 compliant Multi-Agent Systems (MAS) rely on a modular structure of applications. However, there is a lack of efficient methods to identify the performance limits of MAS, such as response time or system throughput. This methodological gap complicates the design of commercial MAS with strict performance requirements. This paper (i) proposes a method for automatic compilation of performance models from system logs and (ii) introduces methods based on Queueing Networks to identify the performance limits of a MAS. The outcome of the method is a semi-automatically assembled Queueing Network. It is a mathematical abstraction for modeling and simulation of system performance, which is consequently used by the system developer to validate that the MAS meets the performance requirements. The proposed method is demonstrated on a test-bed made of six minicomputers Raspberry Pi that host agents implemented in Jade Environment. This method brings the future modular industrial systems with emergent behavioral patterns nearer to broad acceptance by industrial enterprises.

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

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

Projekt

—

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2015

Kód důvěrnosti údajů

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

Název statě ve sborníku

Proceedings of IEEE 20th Conference on the Emerging Technologies & Factory Automation

ISBN

978-1-4673-7928-1

ISSN

1946-0740

e-ISSN

1946-0759

Počet stran výsledku

8

Strana od-do

—

Název nakladatele

IEEE

Místo vydání

Piscataway

Místo konání akce

Luxembourg

Datum konání akce

8. 9. 2015

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

000378564800096