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| runtime verification of data-centric properties in service based systems | |
| Wu Guoquan; Wei Jun; Ye Chunyang; Shao Xiaozhe; Zhong Hua; Huang Tao | |
| 2012 | |
| 会议名称 | 2nd International Conference on Runtime Verification, RV 2011 |
| 会议录名称 | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
| 页码 | 325-341 |
| 会议日期 | September 27, 2011 - September 30, 2011 |
| 会议地点 | San Francisco, CA, United states |
| 收录类别 | EI ; SPRINGER |
| ISSN | 0302-9743 |
| ISBN | 9783642298592 |
| 部门归属 | (1) Institute of Software Chinese Academy of Sciences China; (2) University of Toronto Canada |
| 摘要 | For service-based systems which are composed of multiple independent stakeholders, correctness cannot be ascertained statically. Continuous monitoring is required to assure that runtime behavior of the systems complies with specified properties. However, most existing work considers only the temporal constraints of messages exchanged between services, ignoring the actual data contents inside the messages. As a result, it is difficult to validate some dynamic properties such as how message data of interest is processed between different participants. To address this issue, this paper proposes an efficient, online monitoring approach to dynamically analyze data-centric properties in service-based systems. By introducing Par-BCL - a Parametric Behavior Constraint Language for Web services - various data-centric properties can be specified and monitored. To keep runtime overhead low, we statically analyze the monitored properties to generate parameter state machine, and combine two different indexing mechanisms to optimize the monitoring. The experiments show that the proposed approach is efficient. © 2012 Springer-Verlag.; For service-based systems which are composed of multiple independent stakeholders, correctness cannot be ascertained statically. Continuous monitoring is required to assure that runtime behavior of the systems complies with specified properties. However, most existing work considers only the temporal constraints of messages exchanged between services, ignoring the actual data contents inside the messages. As a result, it is difficult to validate some dynamic properties such as how message data of interest is processed between different participants. To address this issue, this paper proposes an efficient, online monitoring approach to dynamically analyze data-centric properties in service-based systems. By introducing Par-BCL - a Parametric Behavior Constraint Language for Web services - various data-centric properties can be specified and monitored. To keep runtime overhead low, we statically analyze the monitored properties to generate parameter state machine, and combine two different indexing mechanisms to optimize the monitoring. The experiments show that the proposed approach is efficient. © 2012 Springer-Verlag. |
| 关键词 | Artificial Intelligence |
| 语种 | 英语 |
| 内容类型 | 会议论文 |
| URI标识 | http://ir.iscas.ac.cn/handle/311060/15728 |
| 专题 | 中国科学院软件研究所 |
| 推荐引用方式 GB/T 7714 | Wu Guoquan,Wei Jun,Ye Chunyang,et al. runtime verification of data-centric properties in service based systems[C],2012:325-341. |
| 条目包含的文件 | 条目无相关文件。 | |||||
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