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2006
IEEE

Discovering Likely Invariants of Distributed Transaction Systems for Autonomic System Management

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Discovering Likely Invariants of Distributed Transaction Systems for Autonomic System Management
Large amount of monitoring data can be collected from distributed systems as the observables to analyze system behaviors. However, without reasonable models to characterize systems, we can hardly interpret such monitoring data effectively for system management. In this paper, a new concept named flow intensity is introduced to measure the intensity with which internal monitoring data reacts to the volume of user requests in distributed transaction systems. We propose a novel approach to automatically model and search relationships between the flow intensities measured at various points across the system. If the modeled relationships hold all the time, they are regarded as invariants of the underlying system. Experimental results from a real system demonstrate that such invariants widely exist in distributed transaction systems. Further we discuss how such invariants can be used to characterize complex systems and support autonomic system management. Keywords System management . Distr...
Guofei Jiang, Haifeng Chen, Kenji Yoshihira
Added 11 Jun 2010
Updated 11 Jun 2010
Type Conference
Year 2006
Where ICAC
Authors Guofei Jiang, Haifeng Chen, Kenji Yoshihira
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