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Controller synthesis of service contracts with variability

Articolo
Data di Pubblicazione:
2019
Abstract:
Service contracts characterise the desired behavioural compliance of a composition of services. Compliance is typically defined by the fulfilment of all service requests through service offers, as dictated by a given Service-Level Agreement (SLA). Contract automata are a recently introduced formalism for specifying and composing service contracts. Based on the notion of synthesis of the most permissive controller from Supervisory Control Theory, a safe orchestration of contract automata can be computed that refines a composition into a compliant one. To model more fine-grained SLA and more adaptive service orchestrations, in this paper we endow contract automata with two orthogonal layers of variability: (i) at the structural level, constraints over service requests and offers define different configurations of a contract automaton, depending on which requests and offers are selected or discarded, and (ii) at the behavioural level, service requests of different levels of criticality can be declared, which induces the novel notion of semi-controllability. The synthesis of orchestrations is thus extended to respect both the structural and the behavioural variability constraints. Finally, we show how to efficiently compute the orchestration of all configurations from only a subset of these configurations. A prototypical tool supports the developed theory.
Tipologia CRIS:
01.01 Articolo in rivista
Keywords:
Supervisory control theory; Contract automata; Service orchestrations; Variability; Behavioural variability
Elenco autori:
Basile, Davide; Gnesi, Stefania; DI GIANDOMENICO, Felicita; TER BEEK, MAURICE HENRI
Autori di Ateneo:
BASILE DAVIDE
DI GIANDOMENICO FELICITA
TER BEEK MAURICE HENRI
Link alla scheda completa:
https://iris.cnr.it/handle/20.500.14243/392164
Link al Full Text:
https://iris.cnr.it//retrieve/handle/20.500.14243/392164/133619/prod_409807-doc_144151.pdf
https://iris.cnr.it//retrieve/handle/20.500.14243/392164/133621/prod_409807-doc_144152.pdf
Pubblicato in:
SCIENCE OF COMPUTER PROGRAMMING
Journal
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URL

https://www.sciencedirect.com/science/article/pii/S0167642318302260?via%3Dihub
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