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.
['Ding Ding', 'Lei Liu', 'Hartmut Schmeck']
Service Discovery in Self-Organizing Service-Oriented Environments