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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 | |
| Conference Name | 2nd International Conference on Runtime Verification, RV 2011 |
| Source | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
| Pages | 325-341 |
| Conference Date | September 27, 2011 - September 30, 2011 |
| Conference Place | San Francisco, CA, United states |
| Indexed Type | EI ; SPRINGER |
| ISSN | 0302-9743 |
| ISBN | 9783642298592 |
| Department | (1) Institute of Software Chinese Academy of Sciences China; (2) University of Toronto Canada |
| English Abstract | 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. |
| Keyword | Artificial Intelligence |
| Language | 英语 |
| Content Type | 会议论文 |
| URI | http://ir.iscas.ac.cn/handle/311060/15728 |
| Collection | 中国科学院软件研究所 |
| Recommended Citation 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. |
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