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The authors conducted a detailed survey of a large-scale data center. They found that automated monitoring of messages produced by operating systems, middleware, and applications was adopted as a key method for detecting system failures and malfunctions, and found that this was an effective method for improving the quality of system management operations. The survey revealed that message occurrences are not only monitored, they are also analyzed for particular patterns. Those patterns include multiple occurrences surpassing a threshold in a predefined time period, consecutive occurrences within a predefined time interval, or occurrences violating predefined sequences, and so on. A custom-made application is currently used for this message analysis. The authors found some problems in implementation of the application. To overcome these problems and aid information system management, the authors proposed a message analysis method using a stream database. An experiment proved the effectiveness of the method.

Message analysis method based on a stream database for information system management