Implementing context-aware performance management in intelligent SOA middleware

Jinhwan Lee, Kwei Jay Lin

研究成果: 圖書/報告稿件的類型會議稿件同行評審

摘要

Service-Oriented Architecture (SOA) is a software paradigm with a uniform means to offer, discover, compose services' capabilities to meet desired effects with measurable performance expectations. While most of today's SOA tools support service process compositions by considering only functional attributes, additional support for composing service processes by non-functional attribute is needed. In this paper, we present an approach to improve the performance of a business process by introducing context as a non-functional attribute. During normal service executions, each service's actual performance is collected and used to build service performance profile under a context tree. We then use the K-means clustering algorithm to classify and record context dependency on the observed service performance. We also study algorithms to decide the clustering unit of context attribute values and to distinguish those context attributes that may or may not significantly affect service performance. Simulation result shows that our methodologies are effective for context aware management.

原文英語
主出版物標題Proceedings - IEEE 6th International Conference on Service-Oriented Computing and Applications, SOCA 2013
發行者IEEE Computer Society
頁面83-90
頁數8
ISBN(列印)9781479927012
DOIs
出版狀態已出版 - 2013
對外發佈
事件6th IEEE International Conference on Service-Oriented Computing and Applications, SOCA 2013 - Kauai, HI, 美國
持續時間: 16 12 201318 12 2013

出版系列

名字Proceedings - IEEE 6th International Conference on Service-Oriented Computing and Applications, SOCA 2013

Conference

Conference6th IEEE International Conference on Service-Oriented Computing and Applications, SOCA 2013
國家/地區美國
城市Kauai, HI
期間16/12/1318/12/13

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