Automated Dynamic Formation of Component Ensembles

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F17%3A10370377" target="_blank" >RIV/00216208:11320/17:10370377 - isvavai.cz</a>

Výsledek na webu

<a href="http://dx.doi.org/10.5220/0006273705610568" target="_blank" >http://dx.doi.org/10.5220/0006273705610568</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.5220/0006273705610568" target="_blank" >10.5220/0006273705610568</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Automated Dynamic Formation of Component Ensembles

Popis výsledku v původním jazyce

Smart cyber-physical systems (sCPS) is a growing research field focused on scenarios where a set of autonomous software-hardware entities (components) is cooperating via network communication to achieve a type of swarm or cloud intelligence. Typically the components&apos; cooperation is designed at a low level of abstraction and their behavior validated via simulations. As a remedy, a declarative language capable of specifying high-level component ensembles has been proposed in recent work. By capturing component functionality and the cooperation constraints, a specification serves both for generating platform-specific implementation and as a model@run.time to support self-adaption via dynamic formation of ensembles. However, for a particular specification, multiple possible architectural configurations exist with various impact on the system. Given their typically large number, we select the best one via an SMT solver. In this paper, we show that scalability of such approach can be suppor ted by exploiting the effect of locality in component cooperation and by hoisting specific domain knowledge to the level of architecture.

Název v anglickém jazyce

Automated Dynamic Formation of Component Ensembles

Popis výsledku anglicky

Smart cyber-physical systems (sCPS) is a growing research field focused on scenarios where a set of autonomous software-hardware entities (components) is cooperating via network communication to achieve a type of swarm or cloud intelligence. Typically the components&apos; cooperation is designed at a low level of abstraction and their behavior validated via simulations. As a remedy, a declarative language capable of specifying high-level component ensembles has been proposed in recent work. By capturing component functionality and the cooperation constraints, a specification serves both for generating platform-specific implementation and as a model@run.time to support self-adaption via dynamic formation of ensembles. However, for a particular specification, multiple possible architectural configurations exist with various impact on the system. Given their typically large number, we select the best one via an SMT solver. In this paper, we show that scalability of such approach can be suppor ted by exploiting the effect of locality in component cooperation and by hoisting specific domain knowledge to the level of architecture.

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

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2017

Kód důvěrnosti údajů

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

Název statě ve sborníku

Proceedings of the 5th International Conference on Model-Driven Engineering and Software Development

ISBN

978-989-758-210-3

ISSN

—

e-ISSN

neuvedeno

Počet stran výsledku

8

Strana od-do

561-568

Název nakladatele

SCITEPRESS

Místo vydání

Neuveden

Místo konání akce

Porto, Portugal

Datum konání akce

19. 2. 2017

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

000413238000059