Message Analyzing Mechanism for Information System Management Using Stream Database

Abstract

Based upon survey conducted by the authors to large scale data centers, monitoring of messages produced by operating systems, middleware and applications is widely adopted as a method for detecting system failures and malfunctions. According to the result of survey, not only the monitoring of message occurrences, but also analyzing message occurrences in particular patterns is used. Those patterns include, multiple occurrences surpassing a threshold in a predefined time period, consecutive occurrences within a predefined time period, or occurrences violating predefined sequences and so on. A custom made application is currently used for message analysis. Some problems are known in operation of the application and implementation of patterns of message analyzing. The authors proposed a message analyzing mechanism for information system management using stream database to overcome these problems and proved its effectiveness by experiments.