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|Abstract=In service-oriented environments (e.g. Cloud Computing or Utility Computing), automated service discovery is crucial to enable self-organizing technical components that are able to discover and consume services autonomously. To this end, precise and robust service discovery algorithms are desirable. In this paper, we propose an approach combining both syntactic and semantic search to increase accuracy of discovery results. Evaluation in an SOA simulation environment shows promising improvements in contrast to traditional centralized discovery approaches, such as UDDI. | |Abstract=In service-oriented environments (e.g. Cloud Computing or Utility Computing), automated service discovery is crucial to enable self-organizing technical components that are able to discover and consume services autonomously. To this end, precise and robust service discovery algorithms are desirable. In this paper, we propose an approach combining both syntactic and semantic search to increase accuracy of discovery results. Evaluation in an SOA simulation environment shows promising improvements in contrast to traditional centralized discovery approaches, such as UDDI. | ||
+ | |DOI Name=10.1109/APSCC.2010.74 | ||
|Projekt=KIM | |Projekt=KIM | ||
|Forschungsgruppe=Effiziente Algorithmen | |Forschungsgruppe=Effiziente Algorithmen | ||
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Version vom 14. Februar 2011, 13:31 Uhr
Service Discovery in Self-organizing Service-oriented Environments
Service Discovery in Self-organizing Service-oriented Environments
Published: 2010
Dezember
Buchtitel: Proceedings of the 2010 IEEE Asia-Pacific Services Computing Conference
Verlag: IEEE Computer Society
Organisation: IEEE
Referierte Veröffentlichung
BibTeX
Kurzfassung
In service-oriented environments (e.g. Cloud Computing or Utility Computing), automated service discovery is crucial to enable self-organizing technical components that are able to discover and consume services autonomously. To this end, precise and robust service discovery algorithms are desirable. In this paper, we propose an approach combining both syntactic and semantic search to increase accuracy of discovery results. Evaluation in an SOA simulation environment shows promising improvements in contrast to traditional centralized discovery approaches, such as UDDI.
DOI Link: 10.1109/APSCC.2010.74