NDLI: Discovering Likely Invariants of Distributed Transaction Systems for Autonomic System Management

Content Provider	IEEE Xplore Digital Library
Author	Guofei Jiang Haifeng Chen Yoshihira, K.
Copyright Year	2005
Description	Author affiliation: NEC Laboratories America, 4 Independence Way, Princeton, NJ 08540. Email: gfj@nec-labs.com (Guofei Jiang)
Abstract	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.
Starting Page	199
Ending Page	208
File Size	2429294
Page Count	10
File Format	PDF
ISBN	1424401755
DOI	10.1109/ICAC.2006.1662399
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2006-06-12
Publisher Place	Ireland
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Monitoring Fluid flow measurement Management information systems Network servers Information systems Volume measurement Web server Hardware Telecommunication traffic National electric code
Content Type	Text
Resource Type	Article

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