Pre-Grant Publication Number: 20070266142
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Prior Art Detail
Summary / Description
| Summary / Description | Correlate events in a network monitoring system using fuzzy logic |
Basic Information
| Type of Prior Art | Print Publication |
| Publication Title * | Fuzzy temporal reasoning model for event correlation in network management |
| Author | Aboelela, E.; Douligeris, C. |
| ISBN | |
| Page Range | |
| Medium | Journal article |
| Publication Date * | October 1999 |
| URL | http://portal.acm.org/citation.... |
Notes / To Do
| Notes | |
Excerpt
Excerpt In general, any event affecting the network may be correlated with all other event. Such events may be
network alarms and status messages, environmental state parameters, or events created by the user or by external systems. Table 1 shows different types of alarm (event) correlations that can be taken into consideration. |
Relevance
Claims
1
An enterprise computing monitoring and management data processing system comprising:
an event management computing platform coupled to a computing hierarchy of multiple nodes;
event processing logic disposed in the event management computing platform, the event processing logic comprising program code enabled to collect events from different ones of the multiple nodes; and,
proximity detection logic comprising program code enabled to correlate different ones of the events of differing attribute sets according to temporal proximity and to determine a causal relationship based upon a frequency of temporally proximate occurrence of the different ones of the events of differing attribute sets.
Relevance
The prior art is exactly the same as this claim, with the exception that fuzzy logic is used instead of frequency.
The prior art is exactly the same as this claim, with the exception that fuzzy logic is used instead of frequency.
Claim Chart
All
7
A method for the detection of event correlation rules, the method comprising:
receiving a plurality of events from multiple event sources;
classifying a plurality of the events according to a set of event attributes;
determining a temporal proximity of occurrence of different classified events;
further determining a frequency of occurrence of temporal proximity for particular classified events; and,
reporting a causal relationship between the particular classified events when the frequency of occurrence exceeds a threshold value.
Relevance
The prior art is exactly the same as this claim, with the exception that fuzzy logic is used instead of frequency.
The prior art is exactly the same as this claim, with the exception that fuzzy logic is used instead of frequency.
Claim Chart
All
14
A computer program product comprising a computer usable medium embodying computer usable program code for the detection of event correlation rules, the computer program product including:
computer usable program code for receiving a plurality of events from multiple event sources;
computer usable program code for classifying a plurality of the events according to a set of event attributes;
computer usable program code for determining a temporal proximity of occurrence of different classified events;
computer usable program code for further determining a frequency of occurrence of temporal proximity for particular classified events; and,
computer usable program code for reporting a causal relationship between the particular classified events when the frequency of occurrence exceeds a threshold value.
Relevance
The prior art is exactly the same as this claim, with the exception that fuzzy logic is used instead of frequency.
The prior art is exactly the same as this claim, with the exception that fuzzy logic is used instead of frequency.
Claim Chart
All
