![]() ![]() When the system detects that the first segment is being evicted from the second memory, the system re-caches the block into a second segment in the second memory if the block status of the block is active and the frequency of access to the block is above a predetermined value. Whenever an operation on a block is detected making the block inactive in one volume, the system determines if the block is still active in any volume, the block being cached in a first segment in the second memory. In one method, a block status is maintained in a first memory to identify if the block is active or inactive, blocks being stored in segments that are configured to be cacheable in a second memory, a read-cache memory. Publication/Patent Number: US20170060764A1Ībstract: Methods and systems are presented for evicting or copying-forward blocks in a storage system during garbage collection. The scheduling, replication and/or application performance may be managed by a daemon associated with the storage management application which communicates with an agent associated with an application server on which the application executes. The application protection profile specifies scheduling and replication of snapshots for application data to be stored on the volume, and the application performance profile specifies performance parameters such as setting a block size, enabling or modifying a data caching algorithm, turning on or modifying data compression, etc. Publication/Patent Number: US20170161152A1Ībstract: A storage management application of a storage array is operable to create a new volume on the storage device array, and to automatically configure, responsive to user selection of an application protection profile, data protection services for application data to be stored on the volume, and/or, responsive to user selection of an application performance profile, application specific performance parameters. The draining includes producing data segments that include two or more of said data blocks. The method includes draining data blocks, from time to time, from said read cache-on-write buffer to end storage of said storage. In this example, only a sub-set of said data blocks are temporarily stored in said read cache-on-write buffer. The method also includes processing said data blocks, while processing said storing, to identify data blocks and/or metadata to store in a read cache-on-write buffer. The processing includes storing data blocks of the write command to a write buffer of the storage array. The method includes, processing, by the storage application, a write command from the application. ![]() ![]() The storage application is configured to process write commands and read commands to and from storage of the storage array, and the write commands and the read commands being from an application. The method includes executing a storage application on the storage array. ![]() One example method is for storage processing on a storage array. They do this with Cache Accelerated Sequential Layout (CASL) architecture, based on flash memory and high-capacity drives. Competitors include Dell/ EqualLogic, EMC, and NetApp.Publication/Patent Number: US2018081591A1Ībstract: Methods and storage arrays are described. Nimble emphasizes their ability to reduce data backup windows from hours or even days to seconds. Nimble Storage targets data storage managers or IT generalists at companies with 200 to 5000 employees who want to combine multiple storage devices into one. This funding is expected to see the company through to profitability.” “We didn’t plan to seek additional funding until next year, but after receiving many inbound inquiries from prospective investors, decided to raise our round early. “We raised our Series C funding round last fall and still have the majority of those proceeds in the bank,” said Vasuderan. The founders say their biggest company goal is to reach profitability. Nimble Storage currently has 80 employees. He was also the twelfth employee at Data Domain, where he met Maheshwari, who developed parts of their deduplicating file system. Mehta was vice president of engineering at PeakStream Inc., a startup that was acquired by Google. Nimble Storage was founded in 2008 by Umesh Maheshwari and Varun Mehta, pictured to the left (in order) with CEO Vasuderan. Existing investors Accel Partners, Lightspeed Venture Partners and Sequoia Capital were also involved in today’s funding round. Today’s funding is led by stealthy Artis Capital Management, notorious for being quiet about their investments. This attracted the attention of many potential investors, giving us the opportunity to raise capital at a very strong valuation before we really needed it.” “We’ve got an accomplished team, differentiated technology, strong early sales traction, and large market opportunity. “Absolutely,” said Nimble Storage CEO Suresh Vasuderan in an interview with VentureBeat. ![]()
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