Seagate Technology Incorporated

Stephen S Huh

Ian Davies

Christopher R Fulkerson

John Michael Bent

Jon David Trantham

Riyan Alex Mendonsa

Douglas William Dewey

Michael David Barrell

Nicholas James Dance

Serkay Olmez

A processor may determine, for each subdevice of a set of subdevices of a storage enclosure device, one or more reliability measures of the subdevice. A processor may determine, based at least on the one or more reliability measures for the subdevices and a spatial layout rule, a set of striping groups that maximizes a reliability of the set of subdevices of the storage enclosure device, each of the striping groups including a respective subset of the set of subdevices, wherein the spatial layout rule prescribes a geometric layout of the subdevices within striping groups across the storage enclosure device. A processor may store output data of a data striping operation to a particular subset of subdevices associated with a particular striping group of the set of striping groups.

Wear leveling and grouping of drives based on position in chassis

In accordance with one implementation, a method for adaptive in-field recalibration includes detecting a potential environmental disturbance for a first storage node in a mass storage system based on an indicator external to the first storage node, and initiating a recalibration of an operational parameter of the first storage node responsive to the detection.

External indicators for adaptive in-field recalibration

A storage system periodically replicates data to another storage system for data backup and protection. The storage system is configured to detect an irregularity potentially causing a fault in the storage system. Such a detected irregularity may a component failure in a storage device, a temperature change in a storage device, etc. In response to the detected irregularity, the storage system increases a replication rate of data to the backup storage system.

Data replication in a storage system

Implementations described and claimed herein provide a method and system for detecting slow storage drives. In one implementation, the method includes dynamically creating a storage drive peer group including a plurality of storage drives, comparing performance statistics of the storage drives in the storage drive peer group, selecting an outlier storage drive of the storage drive peer group based on the comparison of the performance statistics, passively monitoring response times of the storage drives in the storage drive peer group, comparing average response times of the storage drives in the storage drive peer group, flagging an outlier storage drive of the storage drive peer group with an outlier storage drive designation responsive to comparison of the average response times, actively measuring workload metrics of the outlier storage drive, comparing workload metrics data of the outlier storage drive to workload metrics reference data, and performing a remedial action.

Growing community of inventors

Boulder, CO, United States of America

Stephen S Huh