Online Anomaly Detection for Service-Oriented Components in OSGi-based Applications

ISCAS OpenIR

	Online Anomaly Detection for Service-Oriented Components in OSGi-based Applications
	Wang, Tao; Wei, Jun; Zhang, Wenbo; Zhong, Hua
	2013
发表期刊	APPLIED MATHEMATICS & INFORMATION SCIENCES
ISSN	2325-0399
卷号	7 期号:6 页码:2571-2582
摘要	OSGi has become one of the most promising frameworks for managing service-oriented and component-based applications. The OSGi-based service-oriented components delivered by different vendors are usually black-box program units which lack source code and design documents. Thus, it is difficult to evaluate their quality by static code analysis, and the defective components may lead to the failure of the whole system eventually. In this paper, we propose an online method for detecting anomalous service-oriented components in OSGi-based applications. A thread-tracing method is presented to monitor resource utilization and interactions between components. The method considers both the dynamic service invocation and static method invocation. Furthermore, according to the monitored data, we detect anomalous components by control charts, which can detect the anomalous trend of resource utilization without prior knowledge. A prototype tool was implemented and applied to a real application server. The experimental results show that our method 1) is of high accuracy for monitoring resource utilization in component perspective; 2) does not introduce significant overhead; 3) and can detect anomalous components effectively.; OSGi has become one of the most promising frameworks for managing service-oriented and component-based applications. The OSGi-based service-oriented components delivered by different vendors are usually black-box program units which lack source code and design documents. Thus, it is difficult to evaluate their quality by static code analysis, and the defective components may lead to the failure of the whole system eventually. In this paper, we propose an online method for detecting anomalous service-oriented components in OSGi-based applications. A thread-tracing method is presented to monitor resource utilization and interactions between components. The method considers both the dynamic service invocation and static method invocation. Furthermore, according to the monitored data, we detect anomalous components by control charts, which can detect the anomalous trend of resource utilization without prior knowledge. A prototype tool was implemented and applied to a real application server. The experimental results show that our method 1) is of high accuracy for monitoring resource utilization in component perspective; 2) does not introduce significant overhead; 3) and can detect anomalous components effectively.
收录类别	SCI
关键词	Anomaly Detection Service-oriented Component Osgi Resource Utilization Control Charts
部门归属	[Wang, Tao; Wei, Jun] State Key Lab Comp Sci, Beijing 100190, Peoples R China. [Wang, Tao; Wei, Jun; Zhang, Wenbo; Zhong, Hua] Chinese Acad Sci, Inst Software, Beijing 100190, Peoples R China. [Wang, Tao] Univ Chinese Acad Sci, Beijing 100049, Peoples R China.
语种	英语
WOS记录号	WOS:000331386100053
引用统计
内容类型	期刊论文
URI标识	http://ir.iscas.ac.cn/handle/311060/16902
专题	中国科学院软件研究所
推荐引用方式 GB/T 7714	Wang, Tao,Wei, Jun,Zhang, Wenbo,et al. Online Anomaly Detection for Service-Oriented Components in OSGi-based Applications[J]. APPLIED MATHEMATICS & INFORMATION SCIENCES,2013,7(6):2571-2582.
APA	Wang, Tao,Wei, Jun,Zhang, Wenbo,&Zhong, Hua.(2013).Online Anomaly Detection for Service-Oriented Components in OSGi-based Applications.APPLIED MATHEMATICS & INFORMATION SCIENCES,7(6),2571-2582.
MLA	Wang, Tao,et al."Online Anomaly Detection for Service-Oriented Components in OSGi-based Applications".APPLIED MATHEMATICS & INFORMATION SCIENCES 7.6(2013):2571-2582.