ISCAS OpenIR
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
ISSN0302-9743
ISBN9783642298592
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.
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