Datadirect Networks Assigned Two Patents

NVM-based optimized, versioned, log-structured metadata storage with efficient data retrieval
Datadirect Networks Inc., Chatsworth, CA, has been assigned a patent (11487435) developed by Sun, Zhiwei, Guo, Yuhua, Columbia, MD, Cope, Jason Micah, Highland, MD, and Barton, Eric, Bristol, Great Britain, for “system and method for non-volatile memory-based optimized, versioned, log-structured metadata storage with efficient data retrieval.“

The abstract of the patent published by the U.S. Patent and Trademark Office states: “A system and method for efficiently storing and accessing large volumes of metadata persistent on Non-Volatile Memory (NVM) storage systems is provided. The system applies log-structured, Copy-on-Write (CoW) B.sup.+ tree methods, and supports a core-affine data and resource partitioning approaches on the system’s architecture and platform with a high-degree of parallelism within the CPU, NVMe storage, and networking devices. The subject system and method efficiently indexes both in-core (DRAM resident) and out-of-core (NVM resident) metadata, supports a variety of data access patterns, supports CoW features and provides verifiable data safety and integrity capabilities. The present system minimizes latencies over all aspects of the metadata management and access path by leveraging core-affine resource partitioning with runtime environment providing lightweight user-level threads with low-latency context switching that execute within the exclusive context of a dedicated CPU core, and partitioned resources.”

The patent application was filed on 2021-07-01 (17/305171).

NVM based optimized, versioned, log-structured metadata storage with efficient data retrieval
Datadirect Networks Inc., Chatsworth, CA, has been assigned a patent (11086524) developed by Sun, Zhiwei, Columbia, MD, Guo, Yuhua, Columbia, MD, Cope, Jason Micah, Highland, MD, Barton, Eric, Bristol, Great Britain, for “system and method for non-volatile memory based optimized, versioned, log-structured metadata storage with efficient data retrieval.“

The abstract of the patent published by the U.S. Patent and Trademark Office states: “A system and method for efficiently storing and accessing large volumes of metadata persistent on Non-Volatile Memory (NVM) storage systems is provided. The system applies log-structured, Copy-on-Write (CoW) B.sup.+ tree methods, and supports a core-affine data and resource partitioning approaches on the system’s architecture and platform with a high-degree of parallelism within the CPU, NVMe storage, and networking devices. The subject system and method efficiently indexes both in-core (DRAM resident) and out-of-core (NVM resident) metadata, supports a variety of data access patterns, supports CoW features and provides verifiable data safety and integrity capabilities. The present system minimizes latencies over all aspects of the metadata management and access path by leveraging core-affine resource partitioning with runtime environment providing lightweight user-level threads with low-latency context switching that execute within the exclusive context of a dedicated CPU core, and partitioned resources.”

The patent application was filed on 2018-06-27 (16/020266).