Enhanced anomaly detection in self-healing components

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This paper describes an approach to enhancing the accuracy of detection of anomalies in self-healing components using both multiple notification messages from objects and relationships between threads of active objects in the components When a component monitor finds out a latent anomaly in an object, it takes a closer look at the object with the next notification messages before it reaches its final verdict on the object Active objects can be tightly coupled via a connector to synchronize the message communication between them The synchronization relationship between the active objects is used to detect anomalies in the active objects.

Original languageEnglish
Title of host publication18th International Conference on Software Engineering and Knowledge Engineering, SEKE 2006
Pages485-488
Number of pages4
StatePublished - 2006
Event18th International Conference on Software Engineering and Knowledge Engineering, SEKE 2006 - San Francisco Bay, CA, United States
Duration: Jul 5 2006Jul 7 2006

Publication series

Name18th International Conference on Software Engineering and Knowledge Engineering, SEKE 2006

Conference

Conference18th International Conference on Software Engineering and Knowledge Engineering, SEKE 2006
CountryUnited States
CitySan Francisco Bay, CA
Period07/5/0607/7/06

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  • Cite this

    Shin, M. E., & Xu, Y. (2006). Enhanced anomaly detection in self-healing components. In 18th International Conference on Software Engineering and Knowledge Engineering, SEKE 2006 (pp. 485-488). (18th International Conference on Software Engineering and Knowledge Engineering, SEKE 2006).