Abstract: Example embodiments of the present invention relate to a method, a system, and a computer program product for compressing data in a data storage system. The method includes performing writes to the data storage system according to a first compression algorithm and determining to perform write commands according to a second compression algorithm. Subsequent writes may be performed to the data storage system according to the second compression algorithm.

Abstract: Data access is monitored in order to calculate priorities for extents of data based on extent access activity and priority of a business process associated with the extent. The priorities of the extents are used to generate priority hints for a tiered storage array. The priority may be time-dependent, including being indicative of anticipated future activity.

Abstract: Described are techniques for providing hints. Activity data for data portions is received. For each data portion, activity data is aggregated for each of a plurality of time periods and a value for a metric is determined for the data portion in accordance with the aggregated activity data. The values for the metric are ranked. A set of one or more data portions are identified based on the ranked metric values. Hint generation processing is performed to generate a hint for each data portion in said set. The hint may be used in connection with performing data storage movement optimizations to move selected data portions between different storage tiers having different performance classifications. The metric may be determined using one or more criteria including standard deviation, entropy and/or a maximum probability for a time period having the largest portion of I/O wait time for a data portion.

Abstract: A method, apparatus and computer program product for providing discovery and prediction of long-term high-level nearly periodical business processes from low-level logs is presented. Query activity vectors are extracted from database logs. Groups of queries having similar behavior for a set of business processes are identified by clustering of the query activity vectors. Periodic structure is discovered in the business processes and their future activity is predicted. The predictions of future activity are provided to a storage system.

Abstract: A computer-executable method, system or computer program product for providing an application aware caching solution for a data storage system including data storage devices and a pool of flash cache. The caching solution may utilize received information from users, or other components, in addition to information gathered from the data storage system to determine an optimal caching solution to provide a minimized response time from applications on the data storage system.