Title :
A Framework for Detecting Anomalous Services in OSGi-Based Applications
Author :
Wang, Tao ; Wei, Jun ; Zhang, Wenbo ; Zhong, Hua
Abstract :
The service-centric applications are composed of third-party services. These services delivered by different vendors are usually black-box components which lack source code and design documents. It is difficult to evaluate their quality by static code analysis. Detecting anomalous services online is important to improve the reliability of these applications. This paper presents a framework for detecting anomalous services in the OSGi-based applications, followed by a method of monitoring services. We propose a method to monitor the resource utilization and interaction of services through tracing thread transfer. In addition, we detect anomalous services with XmR control charts. A prototype tool was implemented and applied in an application server. The experimental results show that our method 1) is of high accuracy for monitoring the resource utilization of the OSGi-based services; 2) does not introduce significant overhead; 3) can detect anomalous services effectively.
Keywords :
Java; control charts; multi-threading; resource allocation; security of data; OSGi-based application; OSGi-based service; XmR control chart; anomalous service detection; application server; black-box component; design document; reliability; resource utilization; service monitoring; service-centric application; source code; static code analysis; third-party service; thread transfer tracing; Accuracy; Control charts; Instruction sets; Java; Monitoring; Resource management; Anomaly Detection; OSGi; Resource Utilization; Service Monitoring; XmR;
Conference_Titel :
Services Computing (SCC), 2012 IEEE Ninth International Conference on
Conference_Location :
Honolulu, HI
Print_ISBN :
978-1-4673-3049-7
DOI :
10.1109/SCC.2012.59