Netapp, Inc.

John Keith Fullbright

Mark Beaupre

Lee Gates

Nilesh PradeepKumar Maheshwari

Vijay Srinath

Clinton Douglas Knight

James Namboorikandathil Joseph

Steven Beam

Robert Quimbey

A plurality of data objects is generated from a data stream received for constructing a backup image. A stream size of the data stream is determined. For each multi-threaded put operation used to write a data object of the plurality of data objects to a cloud storage, a maximum number of threads is determined into which the data object can be separated into a number of parts for simultaneous transmission to the cloud storage. A part size of each part is determined. A number of multi-threaded put operations is determined for writing the plurality of data objects to the cloud storage based, at least in part, on the stream size, the maximum number of threads into which the data object can be separated, and the part size. The plurality of data objects is stored into the cloud storage using the number of multi-threaded put operations.

Variable number and size of put operations for storage backup

Technology is disclosed for bridging clouds of computing devices for compute and data storage. The technology can receive a virtual routing table (VRT), wherein the VRT indicates an association with a virtual local area network (VLAN) and defines neighbors for each route wherein at least one neighbor is defined for each of the two different cloud service providers, wherein the route definition creates a private transitive network between the neighbors; receive from a first node a first message destined for a second node; determine that the first message employs the route specified by the VRT; forward the first message to the second node; receive from a third node a second message destined for the second node; determine that the second message does not employ the route specified by the VRT; and fail to forward the second message to the second node.

Routing messages between cloud service providers

Bridging clouds

A backup tool can manage multi-level backup into a cloud and restoration from the cloud. The backup tool can request a data source to stream backup data to the backup tool, and the backup tool can then generate data objects from the data stream for storing into the cloud. The backup tool generates the data objects in accordance with serialization of the data stream. The order of the data objects resulting from the data stream serialization is encoded into the names of the data objects. In addition, the backup tool encodes the backup level into the object names. With sequencing and backup level encoded into the data object names, the data objects can be stored in the cloud for later restoration.

Managing multi-level backups into the cloud

A system and method of improved storage request handling in host-side caches includes a host-side cache with a cache controller, a plurality of request queues, and a cache memory. The cache controller is configured to receive a storage request, assign a priority to the storage request based on a queuing policy, insert the storage request into a first request queue selected from the plurality of request queues based on the assigned priority, extract the storage request from the first request queue when the storage request is a next storage request to fulfill based on the assigned priority, forward the storage request to a storage controller, and receive a response to the storage request from the storage controller. The queuing policy is implemented using a rule-based policy engine. In some embodiments, the cache controller is further configured to update one or more monitoring metrics based on processing of the storage request.

System and method for improved storage request handling in host-side caches

Embodiments described herein provide a storage conversion technique for rapidly converting between storage representations served by a storage system and presented to a host computer of a virtualized computing environment. The storage representations may include physical storage represented by a sequential set of blocks on disks of the storage system that are presented to the host computer in the form of a logical unit number (LUN) and virtual storage represented by a virtual storage device of the storage system that is presented to a hypervisor of the virtualized computing environment in the form of a virtual disk file. Illustratively, the LUN and virtual disk file may be storage objects (e.g., files) having different (file) types and formats in a volume of the storage system; yet each storage object may be organized as a buffer tree having indirect blocks that contain pointers configured to reference data blocks used to store data.

Technique for rapidly converting between storage representations in a virtualized computing environment

Techniques for reclaiming storage space are disclosed herein. According to one embodiment, a storage space reclamation method includes a storage host creating at least one temporary logical container of data in a storage volume managed by a file system of a host so that a predetermined portion of storage capacity of the storage volume is occupied. Access to the storage volume is provided by a network storage controller to the storage host. The storage host translates a host address range for the file system of each temporary logical container of data into a storage controller address range for the network storage controller. The storage host requests the network storage controller to deallocate blocks the locations of which are indicated by the storage controller address range, and then deletes the at least one temporary logical container of data.

Growing community of inventors

Evans, GA, United States of America

John Keith Fullbright