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A context-aware framework for dynamic composition of process fragments in the internet of services
- 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.
- Subjects :
- Service (systems architecture)
lcsh:Computer engineering. Computer hardware
Exploit
Computer Networks and Communications
Computer science
Process (engineering)
Distributed computing
Internet of services
Context (language use)
lcsh:TK7885-7895
02 engineering and technology
lcsh:Telecommunication
lcsh:TK5101-6720
Automated planning and scheduling
0202 electrical engineering, electronic engineering, information engineering
AI planning
Dynamic service composition
Context-aware
business.industry
020207 software engineering
Automation
Computer Science Applications
Software deployment
020201 artificial intelligence & image processing
The Internet
business
Process fragment
Subjects
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