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Question
Event management
Answer
Event management
The IBM? Intelligent Operations Center solutionfocuses on the integration and optimization of information withinand across multiple domains in a central operations hub in real-timeand over long periods. Event management enables an operations centerto assimilate data from multiple systems to constantly predict andreact to significant events and trends.
Events are self-contained data items containing basic but completeinformation that recipients can respond to. Events are placed in queuesby the IBM Intelligent Operations Center and processedby the event management engine.
Events come into the IBM Intelligent Operations Center indifferent forms based on the nature of the operations center. Someexamples of the forms of event are triggers thresholds complex eventsand manually-generated events.
- Fire or smoke alarms going off
- Information technology systems going down
- Intrusion detectors tripped
- Natural events picked up by sensors such as earth tremors
- Over and under temperature alarms
- High and low water levels
- Air quality and water purity breaching environmental standards
- Excessive power consumption
Complex events bring together information from multiple systemsto determine if a group of related events should be reported. Forexample the toll road authority receives a trigger event from itsmonitoring system that indicates that the computer link for creditcard authorization is down followed shortly by a threshold eventfrom the financial system warning that they are close to their creditlimit for unauthorized payments. The combination of these two issuesis much more serious than either in isolation so a complex eventis generated to raise awareness and coordinate a resolution.
- Severe weather warnings
- Crime reports
- Fires
- Road traffic incidents ? accidents congestion unusual loads
- Upcoming events ? rock concerts road races parades
Complex event processing allows a city to identify exceptions tocity systems easily occasionally to identify trends from unrelateddata and to predict future issues.
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Modified date:
08 December 2018
UID
ibm10751011