Dot Hill Systems Corporation

Seagate Technology Incorporated

Chaparral Network Storage Inc.

Vdura, Inc.

Ian Davies

Victor Key Pecone

George Alexander Kalwitz

Douglas William Dewey

Michael David Barrell

John Michael Bent

Gene Maine

Thomas George Wicklund

Kenneth Fairclough Day, Iii

Paul Andrew Ashmore

Kenneth F Day, Iii

Richard W Busser

Ara Patapoutian

Ryan Patrick McCallister

Rex Weldon Vedder

Kenneth K Claffey

Stephen S Huh

Ruiling Luo

Mark A Gaertner

Jon David Trantham

Riyan Alex Mendonsa

Mohamad H El-Batal

Ujjwal Lanjewar

Peter M Maddocks

James Boyd Lenehan

Gomathirajan Authoor Velayuthaperumal

Nicholas James Dance

Michael Barrell

Jeffery Lawrence Shellhamer

Bikrant Kumar Singh

Kushal R Hosmani

Ryan P McCALLISTER

Serkay Olmez

David Ferguson

Pete Maddocks

Adam Thomas Wolinski

Ryan Phillips

A system monitors application-level performance metrics associated with a high-performance computing (HPC) application and resource-level performance metrics associated with resources provisioned for the HPC application. The system accesses an HPC deployment map representing placement and interconnection of the resources provisioned for the HPC application, and analyzes the application-level performance metrics, resource-level performance metrics, and the HPC deployment map to determine one or more recommended actions to improve the application-level and resource-level performance metrics. The system then executes at least one of the one or more recommended actions.

Dynamically composable data-in-place system

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

A method for mitigating the effects of malware is provided. The method includes determining a compressibility of a portion of data, determining a data corruption condition is satisfied based on the determined compressibility, and modifying a retention policy for retention of stored snapshots associated with the portion of data based on the satisfaction of the data corruption condition. The modifying of the retention policy includes generating a first snapshot associated with the portion of the data, prior to writing cached data associated with the portion of the data, writing the cached data associated with the portion of the data, and generating a second snapshot associated with the portion of the data, responsive to the deletion.

Malware mitigating storage controller

A method includes detecting, by a first data storage device, an error when reading data from the first data storage device. The method further includes correcting a portion of the error, by a controller of a host system, using host-level outer codes; and communicating, by the controller, error correction information to the first data storage device in response to correcting the portion of the error using the host-level outer codes.

Host-level outer codes

A method includes receiving, by a data storage device, a read command. The method further includes reading a first set of outer code stored to a magnetic recording medium of the data storage device and storing the first set of outer code to memory. The method further includes receiving a write command to write data to the magnetic recording medium and writing a second set of outer code to the magnetic recording medium in connection with the write command.

Outer codes for data storage devices

A data storage system can connect a data storage controller to a host and a data storage device. A first reference state corresponding to a first zone of the data storage device can be incremented in response to a first version of data being assigned to the first zone by the data storage controller. A second version of the data may be written to a second zone of the data storage device prior to populating a recently freed list with the first zone having an incorrect reference state. The first zone can be allocated by the data storage controller for new data without altering the incorrect reference state that is subsequently written to the first zone as directed by the data storage controller.

Data storage system with recently freed page reference state

Systems and methods are disclosed for multiple duration deduplication entries. A processor may be configured to perform data deduplication operations, including setting a first indicator for first metadata stored to a hash database identifying a first time interval to maintain the first metadata in the database, and setting a second indicator for second metadata stored to the database identifying a second time interval to maintain the second metadata in the database longer than the first time interval. The processor may remove the first metadata from the database when no duplicative data is detected for the first metadata within the first time interval, and remove the second metadata from the database when no duplicative data is detected for the second metadata within the second time interval.

Multiple duration deduplication entries

Each disk drive in an array includes a housing that encloses a motor and at least one magnetic disk. The housing also encloses first and second actuators each with respective first and second heads that independently access the magnetic disk. The first actuator is mapped to a first logical unit and the second actuator is mapped to a second logical unit. A host interface of each disk drive facilitates access to the first and second logical units. A system includes a first storage controller attached to all of the first logical units as a first active server and attached to all of the second logical units as a first passive server. A second storage controller operates redundantly with the first storage controller. The second storage controller is attached to all of the second logical units as a second active server and attached to all of the first logical units as a second passive server.

Disk array using multiple actuator drives with logical units coupled to active and passive servers

A data storage erasure system may have a host connected to a plurality of data storage devices via a network controller with each of the plurality of data storage devices and the network controller connected to a pods controller and each of the plurality of the data storage devices having a device controller. A rebuild strategy can be generated with a rebuild module connected to the plurality of data storage devices, the network controller, and the pods controller. The rebuild strategy may be directed to minimize data rebuild times in the event of a failure in the plurality of data storage devices by executing the rebuild strategy in response to a detected or predicted failure in at least one data storage device of the plurality of data storage devices.

Multi-level erasure system with cooperative optimization

Use of a deduplication module remote from a storage system for storage of data subject to deduplication by the remote deduplication module. The storage system may generate a hash of target data and send the hash of the target data to the remote deduplication module. The remote deduplication module may access a hash database corresponding to the storage system and apply a deduplication algorithm on the hash. In turn, information regarding a deduplication result may be returned to the storage system which may either store the unique target data or update a mapping between the target data and duplicate existing data in a persistent storage of the storage device. The remote deduplication module may be executed by scalable cloud resources such that the computational resources dedicated to the deduplication module may be scaled.

Remote deduplication of data in a storage system

Method and apparatus for managing data in a distributed data storage system, such as but not limited to a cloud computing environment. In some embodiments, snapshots of a data set are uploaded from a source storage subsystem to a cloud store, along with intervening difference information volumes (DIVs). The DIVs are data structures that identify a set of updated data blocks that have been changed by the source storage subsystem between each successive pair of the snapshots. A reader subsystem requests and uses the latest DIV to request the latest set of changed data blocks from the cloud store, and uses the latest set of changed data blocks to update a previous snapshot to generate a copy of the most recent snapshot. The source and reader subsystems can comprise Internet of Things (IoT) devices, client devices, edge computing devices, etc. from different vendors and which utilize different protocols.

Delta information volumes to enable chained replication of data by uploading snapshots of data to cloud

A method includes, upon a read operation for a stripe of a storage device, determining a percentage amount of potential read amplification for the read operation. A current age of the stripe in the read operation is determined as a percentage of a longest safe elapsed time between read scrub operations on a stripe of the storage device. A read scrub operation is performed on the stripe when the current age is greater than the percentage amount of potential read amplification.

Cost-benefit aware read-amplification in RAID scrubbing

A method includes identifying, using a controller, a first data error at a first data block stored in page metadata, the first data block having a first block logical ID. The method also includes identifying a second data block having the first block logical ID. The method also includes copying the second data block to the first data block based on the identified second data block.

Metadata recovery mechanism for page storage

Managing a redundant array of independent disks (RAID) storage array involves assigning first and second stripes to span respective first and second sets of disks. A subset of drives in the first set fails such that the first stripe is in a first state wherein a failure of another drive in the first set will lead to data loss in the first stripe. It is determined that the second stripe is in a fault-tolerant state such that the second stripe can have failures of two drives in the second set before the second stripe is in the first state, Part of an operational disk of the second set used by the second stripe is allocated to the first stripe to replace at least part of the subset of failed drives.

Allocating part of a raid stripe to repair a second raid stripe

A plurality of stripe zones are mapped across drives in an array. A capacity of each of the stripe zones is smaller than or equal to an average size of the drives. A failed drive is determined in the array. A deletable stripe zone is selected that is being used for user data storage. The deletable stripe zone is taken offline and used to rebuild a subset of the plurality of the stripe zones affected by the failed drive.

Growing community of inventors

Longmont, CO, United States of America

Ian Davies