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A context-aware framework for dynamic composition of process fragments in the internet of services

Authors :
Marco Pistore
Annapaola Marconi
Antonio Bucchiarone
Heorhi Raik
Source :
Journal of Internet Services and Applications, Vol 8, Iss 1, Pp 1-23 (2017)
Publication Year :
2017
Publisher :
SpringerOpen, 2017.

Abstract

In the last decade, many approaches to automated service composition have been proposed. However, most of them do not fully exploit the opportunities offered by the Internet of Services (IoS). In this article, we focus on the dynamicity of the execution environment, that is, any change occurring at run-time that might affect the system, such as changes in service availability, service behavior, or characteristics of the execution context. We indicate that any IoS-based application strongly requires a composition framework that supports for the automation of all the phases of the composition life cycle, from requirements derivation, to synthesis, deployment and execution. Our solution to this ambitious problem is an AI planning-based composition framework that features abstract composition requirements and context-awareness. In the proposed approach most human-dependent tasks can be accomplished at design time and the few human intervention required at run time do not affect the system execution. To demonstrate our approach in action and evaluate it, we exploit the ASTRO-CAptEvo framework, simulating the operation of a fully automated IoS-based car logistics scenario in the Bremerhaven harbor.

Details

Language :
English
ISSN :
18690238 and 18674828
Volume :
8
Issue :
1
Database :
OpenAIRE
Journal :
Journal of Internet Services and Applications
Accession number :
edsair.doi.dedup.....7711cba274304374663a31afa5ab25ef
Full Text :
https://doi.org/10.1186/s13174-017-0057-0