Seagate Technology Incorporated

Lsi Corporation

Nilesh Govande

Manish Sharma

Rajesh Maruti Bhagwat

Nitin Satishchandra Kabra

Basavaraj Kirunge

Brad D Besmer

Alexander Carl Worrall

Ujjwal Lanjewar

Joe Paul Moolanmoozha

Sneha Wagh

Rajendra Singh

Jameer Babasaheb Mulani

Susan Gray

Rakesh Verma

Vishal Thakkar

Dan Meyer

Rajesh Nambiar

The technology disclosed herein pertains to a system for data integrity verification that is optimized at unit level. One or more implementations of such system include a method including identifying a first unit boundary in data block received from a client at an application layer, the unit boundary indicating end of a first unit of data, generating an intermediate checksum for the first unit of data at the application layer, receiving a second unit of data of the data block at the application layer, and generating a final checksum with an intermediate checksum as a basis and the second unit of data.

Data integrity verification optimized at unit level

Load balancing technology is used to distribute tasks requested of a data storage network across the connected storage nodes within the data storage network. Conventional load balancing technology is not proactive. Storage nodes within a data storage network may have different performance characteristics and/or current loads created by various demands on the storage nodes and connected servers. The proactive load balancers and corresponding load balancer agents disclosed herein are used to detect these variations in performance characteristics and/or current loads in the storage nodes and connected servers to inform decisions made by the proactive load balancer in distributing incoming access requests across the storage nodes and connected servers.

Proactive load balancer for data storage system

Heuristic based approach to authentication of requests in a stateless protocol environment. Heuristics may be applied to a request to calculate a trust level for the request. The trust level for a request may at least in part be based on request parameters for the request and one or more previously received requests in a user context profile. Thus, historical request metadata may be used in calculating a trust value of a received request. If the trust value for a request exceeds a trust threshold, the request may be authenticated without forwarding the request to an authentication server. Thus, for requests in which the trust value exceeds the trust threshold, system performance may be improved by not requiring computational overhead and/or network bandwidth to be used in authentication. In this regard, the format of the request may still comport with the stateless protocol, but authentication may be made more efficient.

Heuristic based authentication protocol for stateless protocol

A hybrid storage device includes a first storage medium configured to store data at a first speed and a second storage medium configured to store data at a second speed. The first storage medium may be a NAND flash storage medium, and the second storage medium may be disc storage medium. Partitions of the first storage medium are associated with partitions of the second storage medium to form at least two storage tiers. Each of the storage tiers may include different NAND partition capacities. The storage device further includes a peer to peer communication channel between the first storage medium and the second storage medium for moving data between a NAND partition and HDD partition. The storage device is accessible via a dual port SAS or PCIe interface.

Hybrid storage device partitions with storage tiers

Implementations disclosed herein include a storage system including a plurality of storage devices, wherein each of the plurality of storage devices includes compute resources, memory resources, and a storage device controller configured to perform application-specific data management operations using the compute resources and the memory resources of the storage device, and a storage system controller configured to distribute a workload across the plurality of storage devices based on a capability of each of the plurality of storage devices during an IDLE state. The capability of each of the plurality of storage devices may be specifications, current availability, and performance history of each of the plurality of storage devices. In some implementations, each of the plurality of storage devices communicate with each other via a peer-to-peer networking communications protocol (e.g., NVme, NVMof, PCIe, Ethernet, etc.).

Distributed compute array in a storage system

A controller includes a communications interface configured to communicatively couple a host to a computer expansion bus configured to perform peripheral device enumeration and configuration. The computer expansion bus is configured to communicatively couple the host to a peripheral device. The controller also includes a processor configured to facilitate enumeration and configuration by the host of the peripheral device. The controller further includes a memory having computer executable instructions stored thereon. The computer executable instructions are configured for execution by the processor to facilitate enumeration and configuration of a topology associated with the communicative coupling between the host and the peripheral device, where the topology is enumerated and configured by the host.

Host based enumeration and configuration for computer expansion bus controllers

Methods and structure are disclosed for normalizing storage performance across a plurality of logical volumes. One embodiment is a storage controller. The storage controller is adapted to couple with a plurality of host systems and a storage device. The storage controller is adapted to receive one or more requests to create logical volumes for the plurality of hose systems, and adapted to identify a plurality of performance zones for storage areas of the storage device. The performance zones exhibit different performance criteria for one or more of: reading data from the storage device and writing data to the storage device. The storage controller is further adapted to allocate storage from each of the plurality of performance zones for each of the plurality of logical volumes such that the performance criteria for accessing the storage device is distributed substantially uniformly across the plurality of logical volumes.

Methods and structure for normalizing storage performance across a plurality of logical volumes

A system and method for customizing a SCSI error response received from a SCSI target in a storage network environment is disclosed. In a method for customizing a SCSI error response received from a SCSI target in a storage network environment, a SCSI command is received from a SCSI initiator by a SCSI to ATA bridge. The received SCSI command is translated to provide an ATA command. The ATA command is then sent to an ATA drive. The ATA command is executed by the ATA drive. During execution, if an error occurs, an ATA error response is sent by the ATA drive to the SCSI to ATA bridge. The received ATA error response is translated to a SCSI error response. The SCSI to ATA bridge then obtains a customized SCSI error response using an error look-up table. Further the customized SCSI error response is sent to the SCSI initiator.

Growing community of inventors

Pune, India

Nilesh Govande