The Vision of Autonomic Computing
Computer
Profiling Java applications using code hotswapping and dynamic call graph revelation
WOSP '04 Proceedings of the 4th international workshop on Software and performance
Vertical profiling: understanding the behavior of object-priented applications
OOPSLA '04 Proceedings of the 19th annual ACM SIGPLAN conference on Object-oriented programming, systems, languages, and applications
Modeling and Tracking of Transaction Flow Dynamics for Fault Detection in Complex Systems
IEEE Transactions on Dependable and Secure Computing
Interaction Analysis of Heterogeneous Monitoring Data for Autonomic Problem Determination
AINAW '07 Proceedings of the 21st International Conference on Advanced Information Networking and Applications Workshops - Volume 02
OSDI'04 Proceedings of the 6th conference on Symposium on Opearting Systems Design & Implementation - Volume 6
Detecting application-level failures in component-based Internet services
IEEE Transactions on Neural Networks
A comparative study of pairwise regression techniques for problem determination
CASCON '07 Proceedings of the 2007 conference of the center for advanced studies on Collaborative research
Monitoring multi-tier clustered systems with invariant metric relationships
Proceedings of the 2008 international workshop on Software engineering for adaptive and self-managing systems
Adaptive Monitoring with Dynamic Differential Tracing-Based Diagnosis
DSOM '08 Proceedings of the 19th IFIP/IEEE international workshop on Distributed Systems: Operations and Management: Managing Large-Scale Service Deployment
Information-theoretic modeling for tracking the health of complex software systems
CASCON '08 Proceedings of the 2008 conference of the center for advanced studies on collaborative research: meeting of minds
System monitoring with metric-correlation models: problems and solutions
ICAC '09 Proceedings of the 6th international conference on Autonomic computing
Heteroscedastic models to track relationships between management metrics
IM'09 Proceedings of the 11th IFIP/IEEE international conference on Symposium on Integrated Network Management
Issues and scenarios for self-managing grid middleware
Proceedings of the 2nd workshop on Grids meets autonomic computing
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Self-managing systems require continuous monitoring to ensure correct operation. Detailed monitoring is often too costly to use in production. An alternative is adaptive monitoring, whereby monitoring is kept to a minimal level while the system behaves as expected, and the monitoring level is increased if a problem is suspected. To enable such an approach, we must model the system, both at a minimal level to ensure correct operation, and at a detailed level, to diagnose faulty components. To avoid the complexity of developing an explicit model based on the system structure, we employ simple statistical techniques to identify relationships in the monitored data. These relationships are used to characterize normal operation and identify problematic areas. We develop and evaluate a prototype for the adaptive monitoring of J2EE applications. We experiment with 29 different fault scenarios of three general types, and show that we are able to detect the presence of faults in 80% of cases, where all but one instance of non-detection is attributable to a single fault type. We are able to shortlist the faulty component in 65% of cases where anomalies are observed.