Patents by Inventor Clint A. Hardy

Clint A. Hardy has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Patent number: 11334275
    Abstract: Provided are a computer program product, system, and method for reducing a rate at which data is mirrored from a primary server to a secondary server. A determination is made as to whether a processor utilization at a processor managing access to the secondary storage exceeds a utilization threshold. If so, a determination is made as to whether a specified operation at the processor is in progress. A message is sent to the primary server to cause the primary server to reduce a rate at which data is mirrored from the primary server to the secondary server in response to determining that the specified operation is in progress.
    Type: Grant
    Filed: January 6, 2020
    Date of Patent: May 17, 2022
    Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
    Inventors: Clint A. Hardy, Matthew G. Borlick, Adrian C. Gerhard, Lokesh M. Gupta
  • Patent number: 11321123
    Abstract: Provided are a computer program product, system, and method for determining an optimum number of threads to make available per core in a multi-core processor complex to execute tasks. A determination is made of a first processing measurement based on threads executing on the cores of the processor chip, wherein each core includes circuitry to independently execute a plurality of threads. A determination is made of a number of threads to execute on the cores based on the first processing measurement. A determination is made of a second processing measurement based on the threads executing on the cores of the processor chip. A determination is made of an adjustment to the determined number of threads to execute based on the second processing measurement resulting in an adjusted number of threads. The adjusted number of threads on the cores is utilized to execute instructions.
    Type: Grant
    Filed: November 21, 2019
    Date of Patent: May 3, 2022
    Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
    Inventors: Brian Anthony Rinaldi, Lokesh M. Gupta, Kevin J. Ash, Matthew J. Kalos, Trung N. Nguyen, Clint A. Hardy, Louis A. Rasor
  • Patent number: 11321252
    Abstract: Provided are a computer program product, system, and method for using at least one machine learning module to select a priority queue from which to process an Input/Output (I/O) request. Input I/O statistics are provided on processing of I/O requests at the queues to at least one machine learning module. Output is received from the at least one machine learning module for each of the queues. The output for each queue indicates a likelihood that selection of an I/O request from the queue will maintain desired response time ratios between the queues. The received output for each of the queues is used to select a queue of the queues. An I/O request from the selected queue is processed.
    Type: Grant
    Filed: May 18, 2018
    Date of Patent: May 3, 2022
    Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
    Inventors: Karl A. Nielsen, Clint A. Hardy, Lokesh M. Gupta, Matthew G. Borlick
  • Patent number: 11314435
    Abstract: A computer-implemented method, according to one approach, is for converting an existing storage pool into an intended storage pool in place. The computer-implemented method includes: reordering volume extents in the existing storage pool such that physical rank extents of the volumes align with boundaries between rank extents of the intended storage pool. The ranks in the existing storage pool are also converted from first rank extent sizes to second rank extent sizes. Moreover, in response to converting the ranks in the existing storage pool, for each of the volumes: a temporary pause/lock is performed on a volume segment table (VST) entry which corresponds to the given volume, and the VST entry is populated with a new structure which corresponds to the respective second rank extent size.
    Type: Grant
    Filed: November 10, 2020
    Date of Patent: April 26, 2022
    Assignee: International Business Machines Corporation
    Inventors: Clint A. Hardy, Karl Allen Nielsen, Matthew Joseph Kalos
  • Patent number: 11294886
    Abstract: Provided are a computer program product, system, and method for fixing anomalies in a preserved data structure used to generate a temporary data structure during system initialization. A preserved data structure in persistent storage is used to build a temporary data structure in a memory of the computing system during initialization of the computing system. The temporary data structure represents computational resources in the computing system and is rebuilt from the preserved data structure during the initialization. The preserved data structure and the temporary data structure are processed to determine whether the preserved data structure includes at least one anomaly that would result in rebuilding the temporary data structure with an error. Information on the preserved data structure and the temporary data structure having the anomaly are processed to determine modifications to correct the preserved data structure. The determined modifications are processed to correct the preserved data structure.
    Type: Grant
    Filed: February 11, 2020
    Date of Patent: April 5, 2022
    Assignee: International Business Machines Corporation
    Inventors: Matthew G. Borlick, Lokesh M. Gupta, Clint A. Hardy
  • Patent number: 11231855
    Abstract: A storage controller is configured to perform a full stride destage, a strip destage, and an individual track destage. A machine learning module receives a plurality of inputs corresponding to a plurality of factors that affect performance of data transfer operations and preservation of drive life in the storage controller. In response to receiving the inputs, the machine learning module generates a first output, a second output, and a third output that indicate a preference measure for the full stride destage, the strip destage, and the individual track destage respectively.
    Type: Grant
    Filed: April 14, 2020
    Date of Patent: January 25, 2022
    Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
    Inventors: Lokesh Mohan Gupta, Clint A. Hardy, Karl Allen Nielsen, Brian Anthony Rinaldi
  • Patent number: 11226744
    Abstract: A first score corresponding to a full stride destage, a second score corresponding to a strip destage, and a third score corresponding to an individual track destage are computed, wherein the first score, the second score, and the third score are computed for a group of Input/Output (I/O) operations based on a first metric and a second metric, wherein the first metric is configured to affect a performance of data transfers, and wherein the second metric is configured to affect a drive life. A determination is made of a type of destage to perform based on the first score, the second score, and the third score.
    Type: Grant
    Filed: April 14, 2020
    Date of Patent: January 18, 2022
    Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
    Inventors: Clint A. Hardy, Lokesh Mohan Gupta, Karl Allen Nielsen, Brian Anthony Rinaldi
  • Patent number: 11204827
    Abstract: Provided are a computer program product, system, and method for using a machine learning module to determine when to perform error checking of a storage unit. Input on attributes of at least one storage device comprising the storage unit are provided to a machine learning module to produce an output value. An error check frequency is determined from the output value. A determination is made as to whether the error check frequency indicates to perform an error checking operation with respect to the storage unit. The error checking operation is performed in response to determining that the error checking frequency indicates to perform the error checking operation.
    Type: Grant
    Filed: January 19, 2021
    Date of Patent: December 21, 2021
    Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
    Inventors: Matthew G. Borlick, Karl A. Nielsen, Clint A. Hardy, Lokesh M. Gupta
  • Patent number: 11204712
    Abstract: Provided are a computer program product, system, and method for using mirror path statistics in recalling extents to a primary storage system and a secondary storage system from a third storage system, A recall request is received to recall extents from the third storage that were migrated from the primary storage or the secondary storage to the third storage. A determination is made as to whether mirror paths used to migrate extents from the primary storage to the secondary storage exceed a degradation criteria. Commands are sent to cause the recall extents to be recalled from the third storage to both the primary storage and the secondary storage in response to determining that the mirror paths exceed the degradation criteria.
    Type: Grant
    Filed: February 14, 2020
    Date of Patent: December 21, 2021
    Assignee: International Business Machines Corporation
    Inventors: Edward Hsiu-Wei Lin, Lokesh Mohan Gupta, Clint A. Hardy
  • Patent number: 11194771
    Abstract: A computer-implemented method for transferring a reserve to a target host, according to one embodiment, includes granting to a source system, by a control unit, a reserve for a volume of a storage device. A push reserve command is received from the source system. The push reserve command specifies: a transfer of the reserve to a target system, parameter data identifying the target system, and path information specifying the source system. The reserve is transferred only to the target system in response to release of the reserve by the source system.
    Type: Grant
    Filed: December 14, 2017
    Date of Patent: December 7, 2021
    Assignee: International Business Machines Corporation
    Inventors: Susan K. Candelaria, Mark P. Gardiner, Clint A. Hardy, Matthew J. Kalos, William R. White, Stephen G. Wilkins, Harry M. Yudenfriend
  • Patent number: 11175999
    Abstract: A determination is made that a point-in-time copy of a consistency group of a production volume has to be stored in a backup storage that is configured to store a plurality of point-in-time copies generated at a plurality of time instants. An extent of a thin provisioned volume of a highest storage tier of a tiered storage is allocated to store the point-in-time copy of the consistency group. A process is initiated for storing the point-in-time copy of the consistency group to the extent of the highest storage tier of the tiered storage.
    Type: Grant
    Filed: September 6, 2018
    Date of Patent: November 16, 2021
    Assignee: International Business Machines Corporation
    Inventors: Clint A. Hardy, Nicolas M. Clayton, Yang Liu, Gail Spear
  • Publication number: 20210334038
    Abstract: A method for improving destage performance to a RAID array is disclosed. In one embodiment, such a method periodically scans a cache for first strides that are ready to be destaged to a RAID array. While scanning the cache, the method identifies second strides that are not currently ready to be destaged to the RAID array, but will likely be ready to be destaged during a subsequent scan of the cache. The method initiates preemptive staging of any missing data of the second strides from the RAID array into the cache in preparation for the subsequent scan. Upon occurrence of the subsequent scan, the method destages, from the cache, the second strides from the cache to the RAID array. A corresponding system and computer program product are also disclosed.
    Type: Application
    Filed: April 22, 2020
    Publication date: October 28, 2021
    Applicant: International Business Machines Corporation
    Inventors: Lokesh Mohan Gupta, Clint A. Hardy, Brian Anthony Rinaldi, Karl Allen Nielsen
  • Publication number: 20210318807
    Abstract: A storage controller is configured to perform a full stride destage, a strip destage, and an individual track destage. A machine learning module receives a plurality of inputs corresponding to a plurality of factors that affect performance of data transfer operations and preservation of drive life in the storage controller. In response to receiving the inputs, the machine learning module generates a first output, a second output, and a third output that indicate a preference measure for the full stride destage, the strip destage, and the individual track destage respectively.
    Type: Application
    Filed: April 14, 2020
    Publication date: October 14, 2021
    Inventors: Lokesh Mohan Gupta, Clint A. Hardy, Karl Allen Nielsen, Brian Anthony Rinaldi
  • Publication number: 20210318806
    Abstract: A first score corresponding to a full stride destage, a second score corresponding to a strip destage, and a third score corresponding to an individual track destage are computed, wherein the first score, the second score, and the third score are computed for a group of Input/Output (I/O) operations based on a first metric and a second metric, wherein the first metric is configured to affect a performance of data transfers, and wherein the second metric is configured to affect a drive life. A determination is made of a type of destage to perform based on the first score, the second score, and the third score.
    Type: Application
    Filed: April 14, 2020
    Publication date: October 14, 2021
    Inventors: Clint A. Hardy, Lokesh Mohan Gupta, Karl Allen Nielsen, Brian Anthony Rinaldi
  • Patent number: 11132138
    Abstract: A computer-implemented method, according to one approach, is for converting an existing storage pool into an intended storage pool in place. The computer-implemented method includes: identifying a request to convert the existing storage pool having a first extent size into the intended storage pool having a second extent size, where the first extent size is larger than the second extent size. For each volume in the existing storage pool: a temporary pause/lock is performed on a volume segment table (VST) entry which corresponds to the given volume, and a new structure is applied to the VST entry. The new structure divides existing physical extents associated with the VST entry into two or more smaller physical extents. Furthermore, for each of the ranks in the existing storage pool, the given rank is converted from the first extent size to the second extent size.
    Type: Grant
    Filed: September 6, 2019
    Date of Patent: September 28, 2021
    Assignee: International Business Machines Corporation
    Inventors: Clint A. Hardy, Karl Allen Nielsen, Matthew Joseph Kalos
  • Patent number: 11119663
    Abstract: Provided are a computer program product, system, and method for using a machine learning module to determine when to perform a data integrity check of copies of a data set. Input on storage attributes of a plurality of storage units, each storage unit of the storage units storing a copy of a data set, is provided to a machine learning module to produce an output value. A determination is made as to whether the output value indicates to perform a data integrity check of the copies of the data set. A determination is made as to whether the copies of the data set on different storage units are inconsistent in response to determining to perform the data integrity check. At least one of the copies of the data set is corrected to synchronize all the copies of the data set.
    Type: Grant
    Filed: August 28, 2018
    Date of Patent: September 14, 2021
    Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
    Inventors: Matthew G. Borlick, Karl A. Nielsen, Clint A. Hardy, Lokesh M. Gupta
  • Patent number: 11119850
    Abstract: Provided are a computer program product, system, and method for using a machine learning module to determine when to perform error checking of a storage unit. Input on attributes of at least one storage device comprising the storage unit are provided to a machine learning module to produce an output value. An error check frequency is determined from the output value. A determination is made as to whether the error check frequency indicates to perform an error checking operation with respect to the storage unit. The error checking operation is performed in response to determining that the error checking frequency indicates to perform the error checking operation.
    Type: Grant
    Filed: June 29, 2018
    Date of Patent: September 14, 2021
    Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
    Inventors: Matthew G. Borlick, Karl A. Nielsen, Clint A. Hardy, Lokesh M. Gupta
  • Patent number: 11119660
    Abstract: Provided are a computer program product, system, and method for using a machine learning module to determine when to replace a storage device. Input on attributes of the storage device is provided to a machine learning module to produce an output value. A determination is made whether the output value indicates to replace the storage device. Indication is made to replace the storage device in response to determining that the output value indicates to replace the storage device.
    Type: Grant
    Filed: September 27, 2018
    Date of Patent: September 14, 2021
    Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
    Inventors: Matthew G. Borlick, Karl A. Nielsen, Clint A. Hardy, Lokesh M. Gupta
  • Patent number: 11119662
    Abstract: Provided are a computer program product, system, and method for using a machine learning module to determine when to perform a data integrity check of copies of a data set. Input on storage attributes of a plurality of storage units, each storage unit of the storage units storing a copy of a data set, is provided to a machine learning module to produce an output value. A determination is made as to whether the output value indicates to perform a data integrity check of the copies of the data set. A determination is made as to whether the copies of the data set on different storage units are inconsistent in response to determining to perform the data integrity check. At least one of the copies of the data set is corrected to synchronize all the copies of the data set.
    Type: Grant
    Filed: June 29, 2018
    Date of Patent: September 14, 2021
    Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
    Inventors: Matthew G. Borlick, Karl A. Nielsen, Clint A. Hardy, Lokesh M. Gupta
  • Patent number: 11119851
    Abstract: Provided are a computer program product, system, and method for using a machine learning module to determine when to perform error checking of a storage unit. Input on attributes of at least one storage device comprising the storage unit are provided to a machine learning module to produce an output value. An error check frequency is determined from the output value. A determination is made as to whether the error check frequency indicates to perform an error checking operation with respect to the storage unit. The error checking operation is performed in response to determining that the error checking frequency indicates to perform the error checking operation.
    Type: Grant
    Filed: August 14, 2018
    Date of Patent: September 14, 2021
    Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
    Inventors: Matthew G. Borlick, Karl A. Nielsen, Clint A. Hardy, Lokesh M. Gupta