Patents by Inventor Vijay Mohan

Vijay Mohan has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Publication number: 20190294722
    Abstract: A system and method for synchronizing database changes in an enterprise portal application. The system has a cache storing cache data having table data and index data of one or more databases. A schema layer generates schema objects representing the schema of the databases of the cache data. A change management system and a schema layer validates a cache of one or more databases and synchronizes the cache data to the databases by receiving a changeset, comparing the changeset to the schema data, verifying that the changeset is compatible with the cache data and the schema data, and passing the changeset to the cache for updating the cache data or for refreshing the schema data by the schema layer.
    Type: Application
    Filed: March 20, 2018
    Publication date: September 26, 2019
    Inventor: Vijay Mohan
  • Patent number: 10164873
    Abstract: Systems and methods utilize an all-or-none switchover to prevent split-brain problems in a Multi-Chassis Link Aggregation Group (MC-LAG) network. A standby node in the MC-LAG network can perform the steps of remaining in a standby state responsive to a loss of adjacency with an active node, wherein, in the standby state, all standby links between the standby node and a common endpoint are non-distributing; monitoring frames transmitted by the common endpoint to the standby node over the standby links; and determining based on the monitoring frames whether all active links between the active node and the common endpoint have failed and entering an active state with all the standby links distributing based thereon.
    Type: Grant
    Filed: June 1, 2017
    Date of Patent: December 25, 2018
    Assignee: Ciena Corporation
    Inventors: Ankit Sood, Hossein Baheri, Leela Sankar Gudimetla, Vijay Mohan Chandra Mohan, Wei-Chiuan Chen
  • Publication number: 20180351855
    Abstract: Systems and methods utilize an all-or-none switchover to prevent split-brain problems in a Multi-Chassis Link Aggregation Group (MC-LAG) network. A standby node in the MC-LAG network can perform the steps of remaining in a standby state responsive to a loss of adjacency with an active node, wherein, in the standby state, all standby links between the standby node and a common endpoint are non-distributing; monitoring frames transmitted by the common endpoint to the standby node over the standby links; and determining based on the monitoring frames whether all active links between the active node and the common endpoint have failed and entering an active state with all the standby links distributing based thereon.
    Type: Application
    Filed: June 1, 2017
    Publication date: December 6, 2018
    Inventors: Ankit SOOD, Hossein BAHERI, Leela Sankar GUDIMETLA, Vijay Mohan CHANDRA MOHAN, Wei-Chiuan CHEN
  • Publication number: 20180316756
    Abstract: To replicate a source LUN to a different storage system platform, a first storage system transmits a request to replicate a LUN along with attributes for the LUN to a second storage system. The second storage system maps the attributes to attributes used and understood by the platform of the second storage system. The second storage system then creates a destination LUN based on the mapped attributes. Since the destination LUN is created with similar attributes as the source LUN, the destination LUN can store the replicated data of the source LUN while still being accessed and recognized as a LUN by the second storage system. The second storage system also stores any proprietary attributes received from the first storage system so that the proprietary attributes can be supplied to the first storage system to recover the source LUN after a data loss event.
    Type: Application
    Filed: April 28, 2017
    Publication date: November 1, 2018
    Inventors: Ravindra Kuramkote, Kiyoshi James Komatsu, Ling Na Zheng, Rachita Kothiyal, Michael Lee Federwisch, Vijay Mohan Deshmukh
  • Publication number: 20180232395
    Abstract: The technology disclosed relates to a STRADL file system that transparently deploys file blocks across multiple tiers of storage. In a cloud-based storage platform, multiple storage tiers host data via file system APIs. This includes a volatile storage (VS) tier with a VS API, a reliable non-volatile storage (RNVS) tier with a RNVS API, and a highly reliable non-volatile storage (HRNVS) tier with a HRNVS API. The STRADL file system provides an intermediary file system API that presents to a host system a single interface and translates get, put, and other file system requests into commands compatible with the VS API, the RNVS API, and the HRNVS API, without host system awareness of which of the multiple tiers holds requested data and metadata.
    Type: Application
    Filed: February 9, 2018
    Publication date: August 16, 2018
    Applicant: DaStratum, Inc.
    Inventors: Vijay Mohan Deshmukh, Kapil Kumar, Anil Kumar Sharma, Sudheer K. Rao Miryala
  • Patent number: 9934332
    Abstract: Disclosed are various embodiments for a similarity service. Multiple samplings of user accounts are randomly selected from a pool of user accounts. Interaction history data for each of the user accounts is used to determine item similarities corresponding to each of the user account samplings. The item similarity data is aggregated to determine similar items.
    Type: Grant
    Filed: June 18, 2015
    Date of Patent: April 3, 2018
    Assignee: AMAZON TECHNOLOGIES, INC.
    Inventors: Srikanth Thirumalai, Vijai Mohan
  • Publication number: 20180034157
    Abstract: Embodiments of the present invention relate to an antenna [100] for matching an impedance between a feed point [140] and a radiator [110], comprising: the radiator [110] mounted, over a printed circuit board, has a first end and a second end; a flare [130] for matching the impedance, wherein the flare [130] has a first end and a second end, and the flare [130] is taper-shaped from the first end to the second end of the flare [130]; the feed point [140] comprises a first end and a second end, wherein the first end of the feed point [140] is connected to the second end of the flare [130], and the second end of the feed point [140] is connected to the printed circuit board; and a shorting stub [150] placed between the flare [130] and the printed circuit board for grounding a capacitance induced by the antenna [100].
    Type: Application
    Filed: July 25, 2017
    Publication date: February 1, 2018
    Applicant: RELIANCE JIO INFOCOMM LIMITED
    Inventors: Brijesh Ishvarlal SHAH, Kailash KASHYAP, Praveen Kumar PENTA, Vijay Mohan VERMA
  • Patent number: 9881226
    Abstract: Recommendations can be generated even in situations where sufficient user information is unavailable for providing personalized recommendations. Instead of generating recommendations for an item based on item type or category, a relation graph can be consulted that enables other items to be recommended that are related to the item in some way, which may be independent of the type or category of item. For example, images of models, celebrities, or everyday people wearing items of clothing, jewelry, handbags, shoes, and other such items can be received and analyzed to recognize those items and cause them to be linked in the relation graph. When generating recommendations or selecting advertisements, the relation graph can be consulted to recommend products that other people have obtained with the item from any of a number of sources, such that the recommendations may be more valuable to the user.
    Type: Grant
    Filed: September 24, 2015
    Date of Patent: January 30, 2018
    Assignee: Amazon Technologies, Inc.
    Inventors: Oleg Rybakov, Matias Omar Gregorio Benitez, Leo Parker Dirac, Rejith George Joseph, Vijai Mohan, Srikanth Thirumalai
  • Patent number: 9864951
    Abstract: Features are disclosed for identifying randomized latent feature language modeling, such as a recurrent neural network language modeling (RNNLM). Sequences of item identifiers may be provided as the language for training the language model where the item identifiers are the words of the language. To avoid localization bias, the sequences may be randomized prior to or during the training process to provide more accurate prediction models.
    Type: Grant
    Filed: March 30, 2015
    Date of Patent: January 9, 2018
    Assignee: Amazon Technologies, Inc.
    Inventors: Roshan Harish Makhijani, Benjamin Thomas Cohen, Grant Michael Emery, Vijai Mohan
  • Patent number: 9817846
    Abstract: The arrangement and selection of digital content to present to a user can be based upon criteria such as profitability or interest to a user. The selection can also be made to ensure that a diversity of item content is presented. The selection can utilize various rules or policies for diversity at the category level or item feature level, among other such options. In addition to selection diversity, the placement of item content displayed can satisfy various diversity criteria in order to ensure diversity of display as well.
    Type: Grant
    Filed: March 4, 2015
    Date of Patent: November 14, 2017
    Assignee: Amazon Technologies, Inc.
    Inventors: Sriram Srinivasan, Houssam Nassif, Vijai Mohan, Vishwanathan Swaminathan, Mitchell Howard Goodman
  • Patent number: 9767409
    Abstract: Features are disclosed for identifying and routing items for tagging using a latent feature model, such as a recurrent neural network language model (RNNLM). The model may be trained to identify latent features for catalog items such as movies, books, food items, beverages, and the like. Based on similarities in latent features, tags previous assigned to items may be applied to untagged items. Application may be manual or automatic. In either case, resources need to be balances to ensure efficient tagging of items. The included features help to identify and direct these limited tagging resources.
    Type: Grant
    Filed: March 30, 2015
    Date of Patent: September 19, 2017
    Assignee: Amazon Technologies, Inc.
    Inventors: Roshan Harish Makhijani, Benjamin Thomas Cohen, Grant Michael Emery, Madhu Madhava Kurup, Vijai Mohan
  • Publication number: 20170123935
    Abstract: An enterprise may use file level and block level storage for operational access to reap the performance benefits, and use object storage for back-up storage and scale out. Data of objects and objects themselves can be organized to allow for efficient storage management operations, including storage snapshot operations and deduplication operations. A root file container can be represented in object storage with a metadata object (“file container object”) and child file container can be represented in object storage with a metadata object (“file group object”). Each file can be represented in object storage with a metadata object that indicates the data units of the file depending upon the storage technology hosting the file (e.g., a file data block in file level storage). The data units of the file can be represented in object storage as elements of a data object.
    Type: Application
    Filed: October 30, 2015
    Publication date: May 4, 2017
    Inventors: Atul Ramesh Pandit, Michael R. Eisler, Sisir Shekhar, Vijay Mohan Deshmukh
  • Publication number: 20160306840
    Abstract: Data is replicated on a backup node, where the granularity of the replication can be less than a full volume. A data consistency group comprising a subset of data for a volume is defined for a primary node. A set of differences for the data consistency group is sent to a backup node. The backup node creates change logs in response to receiving the set of differences. In response to receiving a request to access a file having data in the data consistency group, the backup node creates a clone of the file. The backup node determines whether an update to a data block of the file exists in the change logs. In response to determining that the update to the data block exists in the change logs, the backup node updates a copy of the data block for the cloned file with data in the change logs.
    Type: Application
    Filed: April 17, 2015
    Publication date: October 20, 2016
    Applicant: NETAPP, INC.
    Inventors: Vijay Mohan Deshmukh, Atul Ramesh Pandit, Pawan Saxena
  • Patent number: 9195714
    Abstract: According to aspects of the disclosed subject matter, a method for identifying a set of documents from a document corpus that are potential duplicates of a source document, is provided. A source document is obtained. A list of queries corresponding to the source document is identified. Each query in the identified list of queries is executed on the document corpus, wherein the execution of each query yields a corresponding results set identifying an ordered set of documents in the document corpus. For each document identified in each results set, a document score is generated for the identified document based on the identified document's ordinal position in its results set. A subset of the identified documents of the results set is selected according to the generated document scores that satisfy predetermined selection criteria. The selected subset of identified documents are stored or displayed.
    Type: Grant
    Filed: February 17, 2011
    Date of Patent: November 24, 2015
    Assignee: Amazon Technologies, Inc.
    Inventors: Srikanth Thirumalai, Aswath Manoharan, Mark J. Tomko, Grant M. Emery, Vijai Mohan
  • Patent number: 9036479
    Abstract: A buffer to buffer credit recovery mechanism is disclosed in which the ports involved in the credit recovery operation are synchronized while credit recovery is being enabled and during a credit recovery operation when credit recovery parameters are being reset. Buffer to buffer credit recovery involves exchanging primitive control signals and parameters during the login sequence to enable credit recovery. Once credit is lost; there may be a need for resetting a link to reset the credit recovery counters and BB credits. Both of these processes require synchronization between the ports involved in the credit recovery mechanism. This synchronization is achieved by enabling credit recovery during the Link Reset protocol negotiation and ensuring that no frames or R_RDYs are exchanged during the procedure.
    Type: Grant
    Filed: March 8, 2013
    Date of Patent: May 19, 2015
    Assignee: Brocade Communications Systems, Inc.
    Inventors: Hor-May Chan, Chao Zhang, Pushpanathan Chidambaram, Srikanth Rayas, Vijay Mohan Guvva, Ganesh Murugesan, Venkatesh Puvvada
  • Publication number: 20140254371
    Abstract: A buffer to buffer credit recovery mechanism is disclosed in which the ports involved in the credit recovery operation are synchronized while credit recovery is being enabled and during a credit recovery operation when credit recovery parameters are being reset. Buffer to buffer credit recovery involves exchanging primitive control signals and parameters during the login sequence to enable credit recovery. Once credit is lost; there may be a need for resetting a link to reset the credit recovery counters and BB credits. Both of these processes require synchronization between the ports involved in the credit recovery mechanism. This synchronization is achieved by enabling credit recovery during the Link Reset protocol negotiation and ensuring that no frames or R_RDYs are exchanged during the procedure.
    Type: Application
    Filed: March 8, 2013
    Publication date: September 11, 2014
    Inventors: Hor-May Chan, Chao Zhang, Pushpanathan Chidambaram, Srikanth Rayas, Vijay Mohan Guvva, Ganesh Murugesan, Venkatesh Puvvada
  • Patent number: 8637512
    Abstract: A sustained release formulation of lamotrigine or a pharmaceutically acceptable derivative thereof and methods of treatment and uses thereof.
    Type: Grant
    Filed: December 2, 2003
    Date of Patent: January 28, 2014
    Assignee: Glaxo Group Limited
    Inventors: Ian Richard Buxton, Wlodzimierz Karolak, Mehran Maleki, Vijay Mohan Iyer
  • Patent number: 8046372
    Abstract: A computer system and method for determining whether the subject matter described in a received document is substantially similar to the subject matter of other documents in a document corpus, such that the received document can be considered a duplicate document. After receiving a first document, a set of tokens for the first document is generated. A non-fielded relevance search on a token index is executed. The relevance search returns a set of candidate duplicate documents with scores corresponding to each candidate document. For each candidate document with a score above a threshold, filtering is performed on each candidate document to determine whether each candidate document is a true duplicate of the first document. A set of candidate documents with a score above the threshold that were not disqualified as candidate documents is then provided.
    Type: Grant
    Filed: May 25, 2007
    Date of Patent: October 25, 2011
    Assignee: Amazon Technologies, Inc.
    Inventors: Srikanth Thirumalai, Aswath Manoharan, Mark J. Tomko, Grant M. Emery, Vijai Mohan, Egidio Terra
  • Patent number: 7970773
    Abstract: Systems and methods for determining a set of variation-phrases from a collection of documents in a document corpus is presented. Potential variation-phrase pairs among the various documents in the document corpus are identified. The identified potential variation-phrase pairs are then added to a variation-phrase set. The potential variation-phrase pairs in the variation-phrase set are filtered to remove those potential variation-phrase pairs that do not satisfy a predetermined criteria. After filtering the variation-phrase set, the resulting variation-phrase set is stored in a data store.
    Type: Grant
    Filed: September 27, 2007
    Date of Patent: June 28, 2011
    Assignee: Amazon Technologies, Inc.
    Inventors: Srikanth Thirumalai, Aswath Manoharan, Xiaoxin Yin, Mark J. Tomko, Grant M. Emery, Vijai Mohan, Egidio Terra
  • Patent number: 7908279
    Abstract: Systems and methods for filtering tokens from a document for determining whether the document describes substantially similar subject matter compared to another document are described. In one embodiment, a first document is obtained. This document is organized into a plurality of fields, and at least some of the fields include tokens representing the subject matter described by the document. A field of this document is selected and a token from within the selected field having the highest inverse document frequency (IDF) is selected. Those tokens that have a higher IDF than the selected token are removed. Using the remaining tokens, a determination is made as to whether the first document describes substantially similar subject matter to the subject matter described by a second document. An indication is provided as to whether the first document describes substantially similar subject matter to that described by a second document according to the determination.
    Type: Grant
    Filed: September 17, 2007
    Date of Patent: March 15, 2011
    Assignee: Amazon Technologies, Inc.
    Inventors: Srikanth Thirumalai, Aswath Manoharan, Mark J. Tomko, Grant M. Emery, Vijai Mohan, Egidio Terra