Veritas Assigned Eight Patents

Detecting bit rot in distributed storage devices having failure domains
Veritas Technologies LLC, Santa Clara, CA, has been assigned a patent (11,016,850) developed by Gajbhiye, Sushrut, Barhate, Deodatta, Pune, India, Kolhe, Roshan, Wardha, India, Marathe, Shailesh, and Banerjee, Anindya, Pune, India, for “systems and methods for detecting bit rot in distributed storage devices having failure domains.“

The abstract of the patent published by the U.S. Patent and Trademark Office states: ”The disclosed computer-implemented method for detecting bit rot in distributed storage devices having failure domains may include (1) receiving, at a computing device, a combination of data chunks created by adding, for each failure domain storing data chunks, data chunks from different stripes, (2) receiving a combination of parity chunks created by adding, for each failure domain storing parity chunks, parity chunks from the different stripes, (3) creating at least one new parity chunk from the combination of data chunks, and (4) identifying a presence of bit rot in the failure domains when the at least one new parity chunk does not match the combination of parity chunks. Various other methods, systems, and computer-readable media are also disclosed. ”

The patent application was filed on March 20, 2018 (Appl. No.15/925,809).

Container-based upgrades for appliances
Veritas Technologies LLC, Santa Clara, CA, has been assigned a patent (11,010,259) developed by Geng, Chao, and Wang, Xi, Beijing, China, for “container-based upgrades for appliances.“

The abstract of the patent published by the U.S. Patent and Trademark Office states: ”Disclosed herein are methods, systems, and processes to perform container-based upgrades to an appliance operating system. An upgraded container is generated by producing a container image. Producing the container image includes generating a checkpoint of a portion of a file system associated with an appliance that includes a portion of an operating system. The container includes the container image and is designated for an upgrade operation that upgrades the portion of the operating system.”

The patent application was filed on February 28, 2018 (Appl. No.15/907,489).

File system metadata analytics
Veritas Technologies LLC, Santa Clara, CA, has been assigned a patent (10,997,499) developed by Kayyoor, Ashwin, Sunnyvale, CA, Vaidya, Meetali, West Lafayette, IN, Dargude, Shailesh, San Jose, CA, and Ashwani, Himanshu, Milpitas, CA, for “systems and methods for file system metadata analytics.“

The abstract of the patent published by the U.S. Patent and Trademark Office states: ”The disclosed computer-implemented method for file system metadata analytics may include (i) creating a set of training data to train a machine learning model to analyze tokens that describe files within a file system, the set of training data comprising a first set of vectors, wherein each vector represents tokens that describes files that are frequently accessed by a common set of users, and a second set of vectors, wherein each vector represents tokens that describes files with common file path ancestors, (ii) training, using the set of training data, the machine learning model, (iii) determining, by providing at least one input token to the machine learning model, that the input token is related to at least one additional token, and (iv) performing an action responsive to observing the input token and involving the additional token and the file system. Various other methods, systems, and computer-readable media are also disclosed.”

The patent application was filed on May 12, 2017 (Appl. No.15/594,471).

Extent map performance
Veritas Technologies LLC, Santa Clara, CA, has been assigned a patent (10,996,857) developed by Yang, Yong, Beijing, China, Wu, Weibao, Vadnais Heights, MN, and Liu, Gallen, Sichuan, China, for “extent map performance.“

The abstract of the patent published by the U.S. Patent and Trademark Office states: ”Disclosed are methods, systems, and processes to improve extent map performance A request for a data block is received. In response to detecting a cache miss, a temporary table is searched for the data block. If the data block is not found in the temporary table, a base table is searched for the data block.”

The patent application was filed on February 28, 2017 (Appl. No.15/445,184).

Application aware input/output fencing
Veritas Technologies LLC, Santa Clara, CA, has been assigned a patent (10,990,462) developed by Gahlot, Jai, and Toley, Abhijit, Pune, India, for an “application aware input/output fencing.“

The abstract of the patent published by the U.S. Patent and Trademark Office states: ”Disclosed herein are various embodiments that perform application-aware input/output (I/O) fencing operations, certain of which embodiments include, in response to detection of a network partition event in a cluster, determining a first application weight, determining whether the first one or more application instances should be delayed in a cumulative fencing race, performing the cumulative fencing race, in response to a determination that the first one or more application instances should be delayed in the cumulative fencing race, and performing the cumulative fencing race without introducing the delay with regard to the first one or more application instances (in response to a determination that the first one or more application instances should not be delayed in the cumulative fencing race).”

The patent application was filed on September 4, 2019 (Appl. No.16/559,682).

Fingerprint change during data operations
Veritas Technologies LLC, Santa Clara, CA, has been assigned a patent (10,983,867) developed by Zhang, Xianbo, Plymouth, MN, and Wang, Haigang, Shoreview, MN, for a “fingerprint change during data operations.“

The abstract of the patent published by the U.S. Patent and Trademark Office states: ”Various systems, methods, and processes for caching and referencing multiple fingerprints while data operations are ongoing are disclosed. A first fingerprint is generated based on a first fingerprinting process. The first fingerprint is stored in association with a second fingerprint, which is based on a second fingerprinting process. The first fingerprint and the second fingerprint are associated with the same data segment. Data operations such as a backup operation, a restore operation, or a replication operation can be performed while the conversion of the data segment from the second fingerprint to the first fingerprint is ongoing.”

The patent application was filed on April 23, 2018 (Appl. No.15/959,489).

Storage device sharing among virtual machines
Veritas Technologies LLC, Santa Clara, CA, has been assigned a patent (10,970,106) developed by Vemuri, Hari Krishna, Pune, India, for a “storage device sharing among virtual machines.“

The abstract of the patent published by the U.S. Patent and Trademark Office states: ”Disclosed herein are various systems, methods, and processes for sharing a storage device with multiple virtual machines. A pseudo-identity is created for a storage device. Information in a hypervisor is configured to modify a response to a command issued to the storage device by a virtual machine. Physical characteristics of the storage device are determined and it is also determined whether the physical characteristics are acceptable. If the physical characteristics are acceptable, a virtual disk associated with the virtual machine is used. If the physical characteristics are unacceptable, a mapping of the virtual machine is migrated to another storage device.”

The patent application was filed on June 24, 2019 (Appl. No.16/449,746).

Generating topic tree for digital information
Veritas Technologies LLC, Santa Clara, CA, has been assigned a patent (10,963,501) developed by Ramachandrappa, Naveen, Mula, Ramya, San Jose, CA, Kayyoor, Ashwin, Sunnyvale, CA, and Tca, Bashyam, Saratoga, CA, for “systems and methods for generating a topic tree for digital information.“

The abstract of the patent published by the U.S. Patent and Trademark Office states: ”The disclosed computer-implemented method for generating a topic tree for digital information may include parsing the digital information and extracting a set of keywords. This method may also include comparing the set of keywords to an ontology and extracting hierarchies from the ontology that match the set of keywords. The extracted ontology entries may then be pruned and sorted. Various other methods, systems, and computer-readable media are also disclosed.”

The patent application was filed on April 29, 2017 (Appl. No.15/582,625).