ANOMALY AND CAUSATION DETECTION IN COMPUTING ENVIRONMENTS

ANOMALY AND CAUSATION DETECTION IN COMPUTING ENVIRONMENTS

Anomaly detection in computing environments is disclosed herein. An example method includes receiving an unstructured input stream of data instances from the computing environment, the unstructured input stream being time stamped; categorizing the data instances of the unstructured input stream of d...

Ausführliche Beschreibung

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Bibliographische Detailangaben
Hauptverfasser: DODSON, Stephen, ROBERTS, David Mark, VEASEY, Thomas
Format: Patent
Sprache:eng ; fre ; ger
Schlagworte:
CALCULATING
COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
COMPUTING
COUNTING
ELECTRIC COMMUNICATION TECHNIQUE
ELECTRIC DIGITAL DATA PROCESSING
ELECTRICITY
PHYSICS
TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHICCOMMUNICATION
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Beschreibung
Zusammenfassung:Anomaly detection in computing environments is disclosed herein. An example method includes receiving an unstructured input stream of data instances from the computing environment, the unstructured input stream being time stamped; categorizing the data instances of the unstructured input stream of data instances, the data instances comprising at least one principle value and a set of categorical attributes determined through machine learning; generating anomaly scores for each of the data instances collected over a period of time; and detecting a change in the categorical attribute that is indicative of an anomaly.