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ScaleFlux Assigned Three Patents

Ensuring in-storage data atomicity and consistency at low cost, enhancing flash translation layer to improve performance of databases and filesystems, storage infrastructure that employs low complexity encoder

Ensuring in-storage data atomicity and consistency at low cost
ScaleFlux, Inc., San Jose, CA, has been assigned a patent (10,628,066) developed by Wu, Qi, Li, Qing, and Li, Jiangpeng, San Jose, CA, for “
ensuring in-storage data atomicity and consistency at low cost.

The abstract of the patent published by the U.S. Patent and Trademark Office states: A storage infrastructure and method for efficiently handing block I/O requests. An infrastructure is described that includes flash memory and a controller that includes: a two dimensional (2D) linked list structure for temporarily storing BIO requests, wherein each BIO request specifies a set of LBAs and wherein the 2D linked list structure includes N vertical linked lists, a BIO request loader that applies a hash function to each LBA in a received BIO request to associate each LBA to one of N hash values, and loads the received BIO request into a horizontal linked list in the 2D linked list structure in which each LBA resides within a vertical linked list based on an associated hash values, and a linked list manager that determines which LBAs in the 2D linked list structure are eligible for processing and when a horizontal linked list can be removed.

The patent application was filed on May 21, 2018 (15/984,538).

Enhancing flash translation layer to improve performance of databases and filesystems
ScaleFlux, Inc., San Jose, CA, has been assigned a patent (10,620,846) developed by Zhang, Tong, Albany, NY, Liu, Yang, Milpitas, CA, Sun, Fei, Irvine, CA, and Zhong, Hao, Los Gatos, CA, for “
enhancing flash translation layer to improve performance of databases and filesystems.

The abstract of the patent published by the U.S. Patent and Trademark Office states: ”An enhanced FTL system and method are provided for eliminating redundant write operations. A method is disclosed, including: processing a data write operation from a host that deploys a journaling scheme, wherein the data write operation includes a specified LBA that maps to a PBA in a SSD memory, calculating a signature of a data block during a write operation, detecting whether the data write should be handled as journal or non-journal write operation without assistance from the host, in response to a detected journal write operation, allocating a new PBA, writing the data block to the new PBA, updating a mapping table with a new LBA-PBA mapping, and inserting the signature into a signature table for the new LBA-PBA mapping, and in response to a detected non-journal write operation, mapping the specified LBA to an existing PBA if the signature matches a stored signature in the mapping table.

The patent application was filed on October 6, 2017 (15/726,839).

Storage infrastructure that employs low complexity encoder
ScaleFlux, Inc., San Jose, CA, has been assigned a patent (10,613,797) developed by Vernon, Mark, Park City, UT, Liu, Yang, Milpitas, CA, and Sun, Fei, Irvine, CA, for a “
storage infrastructure that employs a low complexity encoder.

The abstract of the patent published by the U.S. Patent and Trademark Office states: ”A storage infrastructure, method and encoder device for implementing low complexity encoding, The described encoder includes: a preprocessing system that assigns a code length to each unique symbol based on the frequency without performing a sort operation and determines maximum and minimum occurrence frequencies of symbols of each given code length, and the maximum and minimum code length among all the symbols, and a post processing system that cycles through each code length, determines if a maximum occurrence frequency of a current code length, associated with a first symbol, is greater than a minimum occurrence frequency of an adjacent code length, associated with a second symbol, and if greater, swaps code lengths of the first and second symbols.

The patent application was filed on June 12, 2018 (16/006,170).

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