Service Discovery in Self-organizing Service-oriented Environments
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.
service discovery self-organising semantic syntactic service match-making service-oriented computing
Ding Ding Lei Liu Hartmut Schmeck
Institute AIFB Karlsruhe Institute of Technology Karlsruhe, Germany
国际会议
2010 IEEE Asia-Pacific Services Computing Conference(2010 IEEE亚太地区服务计算会议 APSCC 2010)
杭州
英文
717-724
2010-12-16（万方平台首次上网日期，不代表论文的发表时间）