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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Smit, M. Stroulia, E. |
| Copyright Year | 2011 |
| Abstract | Configuration management is a complex task, even for experienced system administrators, which makes self-managing systems a particularly desirable solution. This paper describes a novel contribution to self-managing systems, including an autonomic configuration self-optimization methodology. Our solution involves a systematic simulation method that develops a state-transition model of the behavior of a service-oriented system in terms of its configuration and performance. At run time, the system's behavior is monitored and classified in one of the model states. If this state may lead to futures that violate service level agreements, the system configuration is changed toward a safer future state. Similarly, a satisfactory state that is over-provisioned may be transitioned to a more economical satisfactory state. Aside from the typical benefits of self-optimization, our approach includes an intuitive, explainable decision model, the ability to predict the future with some accuracy avoiding trial-and-error, offline training, and the ability to improve the model at run-time. We demonstrate this methodology in an experiment where Amazon EC2 instances are added and removed to handle changing request volumes to a real service-oriented application. We show that a knowledge base generated entirely in simulation can be used to make accurate changes to a real-world application. |
| Starting Page | 175 |
| Ending Page | 179 |
| File Size | 371554 |
| Page Count | 5 |
| File Format | |
| ISBN | 9781457710278 |
| DOI | 10.1109/SEAA.2011.36 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2011-08-30 |
| Publisher Place | Finland |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Measurement Adaptation models Web services Simulation Self-configuring software Data models Servers Service-oriented architectures Monitoring Autonomic computing Load modeling Adaptation |
| Content Type | Text |
| Resource Type | Article |
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