Method and system for detecting compression ratio anomalies in data streams in a deduplication storage system
AssigneeDell Products L.P.
InventorsNitin Madan, Bhimsen Bhanjois, Senthil Ponnuswamy
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AssigneeDell Products L.P.
InventorsNitin Madan, Bhimsen Bhanjois, Senthil Ponnuswamy
Estimating the term…
This disclosure provides system, methods, and media for identifying inadvertent compression or encryption in data streams from a client that land on a deduplication storage system. When one or more such abnormalities are detected, an alert message is generated to alert the administrator of the deduplication storage system so that corrective actions can be taken to prevent undesired consequences. According to an exemplary method, machine learning techniques are used to plot and smoothen global compression ratios and local compression ratios of historical backups from a client over a period of time. Then, a second derivative of each data point on the smoothened curves is taken and compared with a predetermined threshold to detect whether that the slope of the data point exceeds a threshold. A data point whose slope exceeds the threshold can be determined to be a data point corresponding to a backup that includes compression and/encryption.
A computer-implemented method of identifying an abnormality in data streams in a deduplication storage system, comprising:
A non-transitory machine-readable medium having instructions stored therein, which when executed by a processor, cause the processor to perform operations of identifying an abnormality in data streams in a deduplication storage system, the operations comprising:
A data processing system, comprising:
Dependencies are inferred from the claim text.