Inventor

HARDY CLINT A

US99 patents

⚠️ This page may combine multiple inventors who share the name “HARDY CLINT A”. Patents are grouped by organization below to help distinguish them — per-person disambiguation is on the roadmap.

HARDY CLINT A

IBM

Device reservation state preservation in data mirroring

Implementing redundant array of independent disks (RAID) arrays having compressed data stored therein

Selecting a priority queue from which to process an input/output (I/O) request by training a machine learning module

Data access to a storage tier on a client in a multi-tiered storage system

Using storage access statistics to determine mirrored extents to migrate from a primary storage system and a secondary storage system to a third storage system

Determining an availability score based on available resources of different resource types in a cloud computing environment of storage servers providing cloud services to customers in the cloud computing environment to determine whether to perform a failure operation for one of the storage servers

Determining an availability score based on available resources of different resource types in a storage system to determine whether to perform a failure operation for the storage system

Using trap cache segments to detect malicious processes

Migrating data from a large extent pool to a small extent pool

Migrating data from a large extent pool to a small extent pool

Determining an optimum number of threads to make available per core in a multi-core processor complex to executive tasks

Selecting a priority queue from which to process an input/output (I/O) request using a machine learning module

Using a machine learning module to determine when to perform error checking of a storage unit

Determining when to perform error checking of a storage unit by training a machine learning module

Determining when to replace a storage device by training a machine learning module

Using trap cache segments to detect malicious processes

Using trap storage units to detect malicious processes

Migrating data from a large extent pool to a small extent pool

Converting a RAID to a more robust RAID level

Migrating data from a small extent pool to a large extent pool

Converting small extent storage pools into large extent storage pools in place

Determining a recovery mechanism in a storage system using a machine learning module

Raid data loss prevention

Device reservation management for overcoming communication path disruptions

Device reservation state synchronization in data mirroring

Copy source to target management in a data storage system

Sharing alias addresses among logical devices

Reserving a core of a processor complex for a critical task

Generating a health condition message on a health condition detected at a server to send to a host system accessing the server

Processing a health condition message on a health condition to determine whether to perform a swap operation

Raid data loss prevention

Management of backup volume extents via a tiered storage mechanism

Host recovery based on rapid indication of estimated recovery time

Hinting information for selecting a storage location for a dataset

Using trap cache segments to detect malicious processes

Reducing incidents of data loss in raid arrays having the same raid level

Reducing a rate at which data is mirrored from a primary server to a secondary server

Fixing anomalies in a preserved data structure used to generate a temporary data structure during system initialization

Determining when to perform a data integrity check of copies of a data set using a machine learning module

Determining when to perform a data integrity check of copies of a data set by training a machine learning module

Determining when to perform error checking of a storage unit by using a machine learning module

Determining when to replace a storage device using a machine learning module

Reporting incidents of data loss in RAID arrays

Copy source to target management in a data storage system

Copy source to target management in a data storage system

Generating a health condition message on a health condition detected at a server to send to a host system accessing the server

Using a machine learning module to select a priority queue from which to process an input/output (I/O) request

Processing a health condition message on a health condition to determine whether to perform a swap operation

Reducing a rate at which requests are sent from one processor to another to reduce processor utilization at the processor receiving the requests

CANDELARIA SUSAN K

Methods for transferring reserves when moving virtual machines across systems