中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
runtime monitoring of data-centric temporal properties for web services

文献类型:会议论文

作者Wu Guoquan ; Wei Jun ; Ye Chunyang ; Shao Xiaozhe ; Zhong Hua ; Huang Tao
出版日期2011
会议名称2011 IEEE 9th International Conference on Web Services, ICWS 2011
会议日期4-Jul-20
会议地点Washington, DC, United states
关键词Monitoring Network components
页码161-170
英文摘要Runtime monitoring of Web service compositions has been widely acknowledged as a significant approach to understand and guarantee the quality of services. However, existing runtime monitoring solutions consider only the constraints on the sequence of messages exchanged between partner services and ignore the actual data contents inside the messages. As a result, it is difficult to monitor some dynamic properties such as how message data of interest is processed between different participants. To address this issue, we propose an efficient, non-intrusive online monitoring approach to dynamically analyze data-centric properties for service-oriented applications involving multiple participants. By introducing Par-BCL - a Parametric Behavior Constraint Language for web services - to define monitoring parameters, various data-centric temporal behavior properties for Web services can be specified and monitored. This approach broadens the monitored patterns to include not only message exchange orders, but also the data contents bound to the parameters. To reduce runtime overhead, we statically analyze the monitored properties to generate parameter state machine from the event pattern automata to optimize monitoring. The experiments show that our solution is efficient and promising. © 2011 IEEE.
收录类别EI
会议主办者IEEE; IEEE Computer Society (CS); TC-SVC; IBM; SAP
会议录Proceedings - 2011 IEEE 9th International Conference on Web Services, ICWS 2011
会议录出版地United States
ISBN号9780769544632
源URL[http://124.16.136.157/handle/311060/14239]  
专题软件研究所_软件工程技术研究开发中心 _会议论文
推荐引用方式
GB/T 7714
Wu Guoquan,Wei Jun,Ye Chunyang,et al. runtime monitoring of data-centric temporal properties for web services[C]. 见:2011 IEEE 9th International Conference on Web Services, ICWS 2011. Washington, DC, United states. 4-Jul-20.

入库方式: OAI收割

来源:软件研究所

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