Methods and Apparatus for Monitoring Abnormalities in Data Stream
AssigneeInternational Business Machines Corporation
InventorCharu C. Aggarwal
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Abstract
A technique for monitoring a primary data stream comprising a plurality of secondary data streams for abnormalities is provided. A deviation value for each of two or more of the plurality of secondary data streams is determined. The two or more deviation values of the two or more secondary data streams are combined to form a combined deviation value. An abnormality signal is generated based at least in part on the combined deviation value.
Claims21
A method for monitoring a primary data stream, comprising a plurality of secondary data streams, for abnormalities, comprising the steps of:
- determining a deviation value for each of two or more of the plurality of secondary data streams;
- combining the two or more deviation values of the two or more secondary data streams to form a combined deviation value;
- and
- generating an abnormality signal based at least in part on the combined deviation value.
Apparatus for monitoring a primary data stream, comprising a plurality of secondary data streams, for abnormalities, comprising:
- a memory;
- and
- at least one processor coupled to the memory and operative to perform the operations of:
- determining a deviation value for each of two or more of the plurality of secondary data streams;
- combining the two or more deviation values of the two or more secondary data streams to form a combined deviation value;
- and
- generating an abnormality signal based at least in part on the combined deviation value.
An article of manufacture for monitoring a primary data stream, comprising a plurality of secondary data streams, for abnormalities, comprising a machine readable storage medium containing one or more programs which when executed implement the steps of:
- determining a deviation value for each of two or more of the plurality of secondary data streams;
- combining the two or more deviation values of the two or more secondary data streams to form a combined deviation value;
- and
- generating an abnormality signal based at least in part on the combined deviation value.
Dependencies are inferred from the claim text.