Emc IP Holding Company LLC

Ciara Stacke

Paul J McSweeney

Andrea Graham

Techniques for evaluating data sets for compression processing may include: receiving first information for a data set, the first information including I/O activity information for the data set, a service level objective for the data set, and a size of the data set; determining, in accordance with the first information, whether the data set meets criteria indicating a specified level of importance and a specified level of I/O activity; responsive to determining the data set meets the criteria, sending second information identifying one or more storage objects of the data set to a compression engine, wherein the one or more storage objects of the data set are identified as having the specified level of importance and at least the specified level of I/O activity; and performing processing, by the compression engine using the second information, to determine whether to compress first data stored in the data set.

Enhanced storage compression based on activity level

Techniques for identifying I/O workload patterns may include monitoring key performance indicators (KPIs) for a monitoring period; and at the end of the monitoring period, performing processing including: determining whether there have been a specified number of occurrences of a predefined event with respect to a data portion of the application, wherein the predefined event is a violation of an application KPI for the application and also a violation of at least one of a plurality of data storage KPIs for the data portion of the application; and responsive to determining that there have been the specified number of the occurrences of the predefined event with respect to the first data portion of the application, recording a pattern of I/O workload for the data portion in accordance with the occurrences of the predefined event. Hints, such as affecting data movement and/or compression, may be generated based on detected patterns.

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Ciara Stacke