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The role of models@run.time in supporting on-the-fly interoperability

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The role of models@run.time in supporting on-the-fly interoperability. / Bencomo, N.; Bennaceur, A.; Grace, P. et al.
In: Computing, Vol. 95, No. 3, 2012, p. 167-190.

Research output: Contribution to Journal/MagazineJournal articlepeer-review

Harvard

Bencomo, N, Bennaceur, A, Grace, P, Blair, G & Issarny, V 2012, 'The role of models@run.time in supporting on-the-fly interoperability', Computing, vol. 95, no. 3, pp. 167-190. https://doi.org/10.1007/s00607-012-0224-x

APA

Vancouver

Bencomo N, Bennaceur A, Grace P, Blair G, Issarny V. The role of models@run.time in supporting on-the-fly interoperability. Computing. 2012;95(3):167-190. Epub 2012 Oct 1. doi: 10.1007/s00607-012-0224-x

Author

Bencomo, N. ; Bennaceur, A. ; Grace, P. et al. / The role of models@run.time in supporting on-the-fly interoperability. In: Computing. 2012 ; Vol. 95, No. 3. pp. 167-190.

Bibtex

@article{aaf574d268524d6b859bbe358e55551f,
title = "The role of models@run.time in supporting on-the-fly interoperability",
abstract = "Models at runtime can be defined as abstract representations of a system, including its structure and behaviour, which exist in tandem with the given system during the actual execution time of that system. Furthermore, these models should be causally connected to the system being modelled, offering a reflective capability. Significant advances have been made in recent years in applying this concept, most notably in adaptive systems. In this paper we argue that a similar approach can also be used to support the dynamic generation of software artefacts at execution time. An important area where this is relevant is the generation of software mediators to tackle the crucial problem of interoperability in distributed systems. We refer to this approach as emergent middleware, representing a fundamentally new approach to resolving interoperability problems in the complex distributed systems of today. In this context, the runtime models are used to capture meta-information about the underlying networked systems that need to interoperate, including their interfaces and additional knowledge about their associated behaviour. This is supplemented by ontological information to enable semantic reasoning. This paper focuses on this novel use of models at runtime, examining in detail the nature of such runtime models coupled with consideration of the supportive algorithms and tools that extract this knowledge and use it to synthesise the appropriate emergent middleware.",
keywords = "Runtime models , Runtime interoperability, Mediators, Ontology",
author = "N. Bencomo and A. Bennaceur and P. Grace and G. Blair and V. Issarny",
year = "2012",
doi = "10.1007/s00607-012-0224-x",
language = "English",
volume = "95",
pages = "167--190",
journal = "Computing",
issn = "1436-5057",
publisher = "Springer Wien",
number = "3",

}

RIS

TY - JOUR

T1 - The role of models@run.time in supporting on-the-fly interoperability

AU - Bencomo, N.

AU - Bennaceur, A.

AU - Grace, P.

AU - Blair, G.

AU - Issarny, V.

PY - 2012

Y1 - 2012

N2 - Models at runtime can be defined as abstract representations of a system, including its structure and behaviour, which exist in tandem with the given system during the actual execution time of that system. Furthermore, these models should be causally connected to the system being modelled, offering a reflective capability. Significant advances have been made in recent years in applying this concept, most notably in adaptive systems. In this paper we argue that a similar approach can also be used to support the dynamic generation of software artefacts at execution time. An important area where this is relevant is the generation of software mediators to tackle the crucial problem of interoperability in distributed systems. We refer to this approach as emergent middleware, representing a fundamentally new approach to resolving interoperability problems in the complex distributed systems of today. In this context, the runtime models are used to capture meta-information about the underlying networked systems that need to interoperate, including their interfaces and additional knowledge about their associated behaviour. This is supplemented by ontological information to enable semantic reasoning. This paper focuses on this novel use of models at runtime, examining in detail the nature of such runtime models coupled with consideration of the supportive algorithms and tools that extract this knowledge and use it to synthesise the appropriate emergent middleware.

AB - Models at runtime can be defined as abstract representations of a system, including its structure and behaviour, which exist in tandem with the given system during the actual execution time of that system. Furthermore, these models should be causally connected to the system being modelled, offering a reflective capability. Significant advances have been made in recent years in applying this concept, most notably in adaptive systems. In this paper we argue that a similar approach can also be used to support the dynamic generation of software artefacts at execution time. An important area where this is relevant is the generation of software mediators to tackle the crucial problem of interoperability in distributed systems. We refer to this approach as emergent middleware, representing a fundamentally new approach to resolving interoperability problems in the complex distributed systems of today. In this context, the runtime models are used to capture meta-information about the underlying networked systems that need to interoperate, including their interfaces and additional knowledge about their associated behaviour. This is supplemented by ontological information to enable semantic reasoning. This paper focuses on this novel use of models at runtime, examining in detail the nature of such runtime models coupled with consideration of the supportive algorithms and tools that extract this knowledge and use it to synthesise the appropriate emergent middleware.

KW - Runtime models

KW - Runtime interoperability

KW - Mediators

KW - Ontology

U2 - 10.1007/s00607-012-0224-x

DO - 10.1007/s00607-012-0224-x

M3 - Journal article

VL - 95

SP - 167

EP - 190

JO - Computing

JF - Computing

SN - 1436-5057

IS - 3

ER -