Mapping Distributed Heterogeneous Systems to a Common Language by Applying Ontologies

Mapping Distributed Heterogeneous Systems to a Common Language by Applying Ontologies

Abstract

The classification and selection of services within distributed, heterogeneous environments is a non trivial task. For a proper selection and composition of services in such environments -- for example in a Grid or Cloud -- it is required to dispose of detailed information about the existing resources and their characteristics. Particularly for applying appropriate optimization strategies these metadata are indispensable in order to decide which is the actual best resource for a given task, respectively query. It is thus a crucial task to first identify, classify and describe all system components and their attributes in a common language. Therefore a generic, high-level model of a service ontology is proposed, that exposes the fundamental building blocks of a distributed, service-oriented environment, by providing a structured collection of components and their functional and non-functional attributes. Finally, the applicability of the proposed ontology is verified by applying it to two distinct application scenarios, one from the domain of Distributed Database Management Systems, and one from a High-Energy Physics experiment.

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Authors
  • Vinek, Elisabeth
  • Beran, Peter Paul
  • Schikuta, Erich
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Shortfacts
Category
Paper in Conference Proceedings or in Workshop Proceedings (Paper)
Event Title
IASTED International Conference on Parallel and Distributed Computing and Networks
Divisions
Workflow Systems and Technology
Event Location
Innsbruck, Austria
Event Type
Conference
Event Dates
15 - 17 Feb 2011
Publisher
ACTA Press
Date
2011
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