International Business Machines Corporation

Joshua M Rhoades

Jason Lee Peipelman

Paul Anthony Jennas, Ii

Larry Juarez

David Montgomery

Todd Charles Sorenson

Matthew John Ward

Philip Matthew Doatmas

Michael Robert Groseclose, Jr

Brian Sean McCain

Theodore Timothy Harris, Jr

Philip Matthew Dudas

Dale Howard Anderson

Dale Huber Anderson

David V Valverde

Michael R Groseclose, Jr

William W Owen

Marina M Ruíz

David Montogmery

A data storage subsystem having a plurality of data compression engines configured to compress data, each having a different compression algorithm. A data handling system is configured to determine a present rate of access to data; select at least one sample of data; determine the greatest degree of compression of said data compression engines; determine the compression ratios of the operated data compression engines with respect to the selected sample(s); compressing said selected at least one sample with a plurality of said data compression engines at said selected tier; operate a selected data compression engines with respect to the selected sample and determine the greatest degree of compression of the data compression engines; compress the data from which the sample was selected with one of the operated data compression engines determined to have the greatest degree of compression; and store the compressed data in data storage repositories.

Data compression algorithm selection and tiering

A read/write ratio for each of a plurality of data segments classified in a hot category as hot data segments is determined. Each of the plurality of hot data segments is ordered by the read/write ratio in a descending order. Each of a plurality of available SSD devices is ordered by a remaining life expectancy in an ascending order. Those of the plurality of hot data segments are matched with those of the plurality of hot data segments with those of the plurality of available SSD devices such that a hot data segment having a higher read/write ratio is provided to an SSD device having a smaller remaining life expectancy than another hot data segment having a lower read/write ratio.

Sub-lun input/output profiling for SSD devices

Sub-LUN input/output profiling for SSD devices

Provided are a method, system, and article of manufacture for iterative data secret-sharing transformation and reconversion. In one aspect, data secret-sharing transformation and reconversion is provided in which each bit of an input stream of bits of data is split, on a bit by bit basis, into a pair of secret-sharing bits, and the secret-sharing bits of each pair of secret-sharing bits are separated into separate streams of secret-sharing bits. In this manner, one secret-sharing bit of each pair of secret-sharing bits may be placed in one stream of secret-sharing bits and the other secret-sharing bit of each pair may be placed in another stream of secret-sharing bits different from the one stream of secret-sharing bits. Confidentiality of the original input stream may be protected in the event one but not both streams of secret-sharing bits is obtained by unauthorized personnel. In another aspect, for an input stream of N bits, each received bit of the N bits of the input stream of data, may be interatively split, on a bit by bit basis, into a pair of secret-sharing bits, to generate as few as N+1 secret-sharing bits from the input stream of bits N bits. Other features and aspects may be realized, depending upon the particular application.

Iterative data secret-sharing transformation

Provided are a computer program product, system, and method for determining whether to extend a drain time to copy data blocks from a first storage to a second storage. A data structure is generated indicating data blocks in the first storage to copy to the second storage. A drain operation is initiated to copy the data blocks indicated in the first storage to the second storage for a drain time period. Write requests to the data blocks indicated in the data structure are queued during the drain time period, wherein the queued write requests are not completed while queued. Metric information based on the writes that occur to data blocks in the first storage are gathered during the drain time period; and in response to expiration of the drain time period, a determination is made from the gathered metric information of whether to continue the drain operation or terminate the drain operation.

Determining whether to extend a drain time to copy data blocks from a first storage to a second storage

Provided are a computer program product, system, and method for determining whether to extend a drain time to copy data blocks from a first storage to a second storage. A data structure indicates data blocks in the first storage to copy to the second storage. A drain operation copies the data blocks indicated in the first storage to the second storage for a drain time period. Write requests to the data blocks indicated in the data structure are queued during the drain time period, wherein the queued write requests are not completed while queued. Metric information based on the writes that occur to data blocks in the first storage are gathered during the drain time period; and in response to expiration of the drain time period, a determination is made from the gathered metric information of whether to continue the drain operation or terminate the drain operation.

A data transfer application implemented in a computational device receives a request to copy a plurality of storage volumes that form a consistency group. A determination is made that a first storage volume of the plurality of storage volumes is more likely to be written into than a second storage volume of the plurality of storage volumes, in response to receiving the request to copy the plurality of storage volumes. The first storage volume is copied before copying the second storage volume, in response to determining that the first storage volume is more likely to be written into than the second storage volume.

Ordering volumes and tracks for data transfer based on usage characteristics

In one embodiment, pursuant to migrating the data from the first to the second storage medium, the data is allocated to the second storage medium while retaining an allocation of the data in the first storage medium. If the data is migrated from the second storage medium back to the first storage medium, the data is pointed to the allocation of the data in the first storage medium to alleviate data movement from the second storage medium to the first storage medium. If the allocation of the data in the first storage medium is determined to be needed for other data, the allocation of the data in the first storage medium is freed.

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Tucson, AZ, United States of America

Joshua M Rhoades