Patents by Inventor Sidharth Mishra
Sidharth Mishra 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).
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Patent number: 11782886Abstract: A virtual machine container file is analyzed to determine which portion of the virtual machine container file corresponds to a virtual machine file system metadata of the virtual machine container file. One or more differences between a first version of a virtual machine container file and a second version of the virtual machine container file are determined at least in part by traversing a snapshot structure associated with the virtual machine container file. The determined one or more differences that corresponds to the virtual machine file system metadata portion of the virtual machine container file are identified based at least in part on the analysis of the virtual machine container file.Type: GrantFiled: September 29, 2021Date of Patent: October 10, 2023Assignee: Cohesity, Inc.Inventors: Chinmaya Manjunath, Anirvan Duttagupta, Anubhav Gupta, Sidharth Mishra, Zhihuan Qiu
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Publication number: 20230131140Abstract: The present disclosure provides for a method of treating increased gut permeability, including administering a therapeutically effective amount of a human-derived probiotic to a patient in need thereof. Further provided herein is a method of increasing a patient's metabolism of ethanolamine, including administering a therapeutically effective amount of human derived probiotics to the patient in need thereof. Also provided herein is a pharmaceutical composition, including a first strain of Lactobacillus and a second probiotic strain. The present disclosure also provides for a pharmaceutical composition, including Lactobacillus and an antidiabetic drug. Additionally, provided herein is a pharmaceutical composition, including Lactobacillus and a weight management drug.Type: ApplicationFiled: October 26, 2022Publication date: April 27, 2023Inventors: Hariom Yadav, Shalinie Jain, Sidharth Mishra
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Publication number: 20230112505Abstract: Described are methods of treating neurodegenerative disease by administering a therapeutically effective amount of fenchol to a patient in need thereof. Additionally, described are methods of activating FFAR2 signaling in a patient by administering a therapeutically effective amount of fenchol to a patient in need thereof. Methods of treating gastrointestinal disorders in a patient being treated for cancer and methods of improving cognition in a patient being treated for cancer are also described. Further, the present disclosure provides for a pharmaceutical composition including fenchol and an Alzheimer's disease drug. Additionally, a nasal spray including fenchol, a buccal tablet including fenchol, and a dietary supplement including fenchol are described.Type: ApplicationFiled: July 1, 2022Publication date: April 13, 2023Inventors: Hariom YADAV, Shalini JAIN, Sidharth MISHRA
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Publication number: 20220138163Abstract: A virtual machine container file is analyzed to determine which portion of the virtual machine container file corresponds to a virtual machine file system metadata of the virtual machine container file. One or more differences between a first version of a virtual machine container file and a second version of the virtual machine container file are determined at least in part by traversing a snapshot structure associated with the virtual machine container file. The determined one or more differences that corresponds to the virtual machine file system metadata portion of the virtual machine container file are identified based at least in part on the analysis of the virtual machine container file.Type: ApplicationFiled: September 29, 2021Publication date: May 5, 2022Inventors: Chinmaya Manjunath, Anirvan Duttagupta, Anubhav Gupta, Sidharth Mishra, Zhihuan Qiu
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Publication number: 20220036417Abstract: The present invention relates to a system (100) and a method of a common market place for technology creators. The system (100) of the present invention includes a technology creator computing device (102), an enterprise buyer computing device (104), an expert agent computing device (106), and a cloud server (108). The cloud server (108) executes computer-readable instruction that provides a common digital platform for the technology creators, the enterprise buyers, and the expert agents to interact with each through the technology creator computing device (102), the enterprise buyer computing device (104) and the expert agent computing device (106) respectively. Further, the technology creators, the enterprise buyers and the expert agents create their profile on the common digital. Herein, the cloud server (108) executes computer-readable instructions to help the technology creators to search for the enterprise buyers and the expert agents based on the technology set of the technology creators.Type: ApplicationFiled: July 28, 2021Publication date: February 3, 2022Inventors: Venkatesh Subramanian, Padma Subramanian, Sidharth Mishra
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Patent number: 11176102Abstract: A virtual machine container file is analyzed to determine which portion of the virtual machine container file corresponds to a virtual machine file system metadata of the virtual machine container file. One or more differences between a first version of a virtual machine container file and a second version of the virtual machine container file are determined at least in part by traversing a snapshot structure associated with the virtual machine container file. The determined one or more differences that corresponds to the virtual machine file system metadata portion of the virtual machine container file are identified based at least in part on the analysis of the virtual machine container file.Type: GrantFiled: December 5, 2019Date of Patent: November 16, 2021Assignee: Cohesity, Inc.Inventors: Chinmaya Manjunath, Anirvan Duttagupta, Anubhav Gupta, Sidharth Mishra, Zhihuan Qiu
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Publication number: 20210240828Abstract: An amount of data change associated with a version of a content file with respect to one or more previous versions of the content file is determined. The amount of change associated with the version of the content file is determined using a tree data structure associated with the content file that is stored on a storage cluster. One or more statistics associated with backup snapshot are provided to a server. The server is configured to determine that the amount of data change associated with the version of the content file is anomalous based in part on the one or more statistics associated with the backup snapshot. A notification that data associated with the backup snapshot is potentially infected by malicious software is received from the server. The version of the content file is indicated as being potentially infected by malicious software.Type: ApplicationFiled: January 22, 2021Publication date: August 5, 2021Inventors: Prashant Gaurav, Sidharth Mishra, Karandeep Singh Chawla, Anubhav Gupta, Sudhir Srinivas, Apurv Gupta, Nagapramod Mandagere
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Patent number: 10943011Abstract: An amount of data change associated with a version of a content file with respect to one or more previous versions of the content file is determined. The amount of change associated with the version of the content file is determined using a tree data structure associated with the content file that is stored on a storage cluster. One or more statistics associated with backup snapshot are provided to a server. The server is configured to determine that the amount of data change associated with the version of the content file is anomalous based in part on the one or more statistics associated with the backup snapshot. A notification that data associated with the backup snapshot is potentially infected by malicious software is received from the server. The version of the content file is indicated as being potentially infected by malicious software.Type: GrantFiled: March 27, 2020Date of Patent: March 9, 2021Assignee: Cohesity, Inc.Inventors: Prashant Gaurav, Sidharth Mishra, Karandeep Singh Chawla, Anubhav Gupta, Sudhir Srinivas, Apurv Gupta, Nagapramod Mandagere
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Publication number: 20200226256Abstract: An amount of data change associated with a version of a content file with respect to one or more previous versions of the content file is determined. The amount of change associated with the version of the content file is determined using a tree data structure associated with the content file that is stored on a storage cluster. One or more statistics associated with backup snapshot are provided to a server. The server is configured to determine that the amount of data change associated with the version of the content file is anomalous based in part on the one or more statistics associated with the backup snapshot. A notification that data associated with the backup snapshot is potentially infected by malicious software is received from the server. The version of the content file is indicated as being potentially infected by malicious software.Type: ApplicationFiled: March 27, 2020Publication date: July 16, 2020Inventors: Prashant Gaurav, Sidharth Mishra, Karandeep Singh Chawla, Anubhav Gupta, Sudhir Srinivas, Apurv Gupta, Nagapramod Mandagere
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Patent number: 10650146Abstract: An amount of data change associated with a version of a content file with respect to one or more previous versions of the content file is determined. The amount of change associated with the version of the content file is determined using a tree data structure associated with the content file that is stored on a storage cluster. One or more statistics associated with backup snapshot are provided to a server. The server is configured to determine that the amount of data change associated with the version of the content file is anomalous based in part on the one or more statistics associated with the backup snapshot. A notification that data associated with the backup snapshot is potentially infected by malicious software is received from the server. The version of the content file is indicated as being potentially infected by malicious software.Type: GrantFiled: April 1, 2019Date of Patent: May 12, 2020Assignee: Cohesity, Inc.Inventors: Prashant Gaurav, Sidharth Mishra, Karandeep Singh Chawla, Anubhav Gupta, Sudhir Srinivas, Nagapramod Mandagere, Apurv Gupta
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Publication number: 20200142865Abstract: A virtual machine container file is analyzed to determine which portion of the virtual machine container file corresponds to a virtual machine file system metadata of the virtual machine container file. One or more differences between a first version of a virtual machine container file and a second version of the virtual machine container file are determined at least in part by traversing a snapshot structure associated with the virtual machine container file. The determined one or more differences that corresponds to the virtual machine file system metadata portion of the virtual machine container file are identified based at least in part on the analysis of the virtual machine container file.Type: ApplicationFiled: December 5, 2019Publication date: May 7, 2020Inventors: Chinmaya Manjunath, Anirvan Duttagupta, Anubhav Gupta, Sidharth Mishra, Zhihuan Qiu
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Patent number: 10534759Abstract: A virtual machine container file is analyzed to determine which portion of the virtual machine container file corresponds to a virtual machine file system metadata of the virtual machine container file. One or more differences between a first version of a virtual machine container file and a second version of the virtual machine container file are determined at least in part by traversing a snapshot structure associated with the virtual machine container file. The determined one or more differences that corresponds to the virtual machine file system metadata portion of the virtual machine container file are identified based at least in part on the analysis of the virtual machine container file.Type: GrantFiled: August 23, 2018Date of Patent: January 14, 2020Assignee: Cohesity, Inc.Inventors: Chinmaya Manjunath, Anirvan Duttagupta, Anubhav Gupta, Sidharth Mishra, Zhihuan Qiu