Patents by Inventor Marcelo DOS REIS MANSANO
Marcelo DOS REIS MANSANO 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: 11892991Abstract: Described herein are techniques for better understanding problems arising in an illustrative information management system, such as a data storage management system, and for issuing appropriate alerts and reporting to data management professionals. The illustrative embodiments include a number of features that detect and raise awareness of anomalies in system operations, such as in deduplication pruning operations. Such anomalies can include delays in the processing of archive files to be deleted and/or delays in the generation of the list of archive files to delete. Anomalies are characterized by frequency anomalies and/or by occurrence counts. Utilization is also of interest for certain key system resources, such as deduplication databases, CPU and memory at the storage manager, etc., without limitation.Type: GrantFiled: January 7, 2022Date of Patent: February 6, 2024Assignee: Commvault Systems, Inc.Inventors: Pavan Kumar Reddy Bedadala, Marcelo dos Reis Mansano, Rajiv Kottomtharayil, Anand Vibhor, Bhavyan Bharatkumar Mehta, Mrityunjay Upadhyay
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Publication number: 20230034651Abstract: Indexing preferences generally associate each data source with a type of indexing technology and/or with an index/catalog and/or with a computing device that hosts the index/catalog for tracking backup data generated from the source data. Indexing preferences govern which index/catalog receives transaction logs for a given storage operation. Thus, indexing destinations are defined granularly and flexibly in reference to the source data. Load balancing without user intervention assures that the various index/catalogs are fairly distributed in the illustrative backup systems by autonomously initiating migration jobs. Criteria for initiating migration jobs are based on past usage and going-forward trends. An illustrative migration job re-associates data sources with a different destination media agent and/or index/catalog, including transferring some or all relevant transaction logs and/or indexing information from the old host to the new host.Type: ApplicationFiled: August 9, 2022Publication date: February 2, 2023Inventors: Pavan Kumar Reddy BEDADALA, Parag GOKHALE, Pavlo MAZUR, Prakash VARADHARAJAN, Ankur VARSHENY, Gopikannan VENUGOPALSAMY, Marcelo DOS REIS MANSANO
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Patent number: 11494417Abstract: An improved information management system is described herein that can use artificial intelligence to classify data files (e.g., emails, documents, audio files, video files, etc.) and/or surface in a user interface the classification assigned to the data files. For example, a lightweight training or a heavyweight training can be employed to train classifiers to classify the data files. Use of artificial intelligence to classify data files may reduce the amount of computing resources that the information management system allocates to the data file review process because an auditor may be able to quickly identify those data files that meet the desired criteria using the classification and only request access to those data files. Thus, the information management system may be able to allocate more computing resources to normal or routine tasks, ensuring that such tasks are completed and/or completed in an appropriate amount of time.Type: GrantFiled: August 7, 2020Date of Patent: November 8, 2022Assignee: Commvault Systems, Inc.Inventors: Mrityunjay Upadhyay, Pavan Kumar Reddy Bedadala, Marcelo dos Reis Mansano
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Patent number: 11449394Abstract: Indexing preferences generally associate each data source with a type of indexing technology and/or with an index/catalog and/or with a computing device that hosts the index/catalog for tracking backup data generated from the source data. Indexing preferences govern which index/catalog receives transaction logs for a given storage operation. Thus, indexing destinations are defined granularly and flexibly in reference to the source data. Load balancing without user intervention assures that the various index/catalogs are fairly distributed in the illustrative backup systems by autonomously initiating migration jobs. Criteria for initiating migration jobs are based on past usage and going-forward trends. An illustrative migration job re-associates data sources with a different destination media agent and/or index/catalog, including transferring some or all relevant transaction logs and/or indexing information from the old host to the new host.Type: GrantFiled: November 15, 2019Date of Patent: September 20, 2022Assignee: Commvault Systems, Inc.Inventors: Pavan Kumar Reddy Bedadala, Parag Gokhale, Pavlo Mazur, Prakash Varadharajan, Ankur Varsheny, Gopikannan Venugopalsamy, Marcelo Dos Reis Mansano
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Publication number: 20220292188Abstract: An information management system includes one or more client computing devices in communication with a storage manager and a secondary storage computing device. The storage manager manages the primary data of the one or more client computing devices and the secondary storage computing device manages secondary copies of the primary data of the one or more client computing devices. Each client computing device may be configured with a ransomware protection monitoring application that monitors for changes in their primary data. The ransomware protection monitoring application may input the changes detected in the primary data into a machine-learning classifier, where the classifier generates an output indicative of whether a client computing device has been affected by malware and/or ransomware. Using a virtual machine host, a virtual machine copy of an affected client computing device may be instantiated using a secondary copy of primary data of the affected client computing device.Type: ApplicationFiled: April 28, 2021Publication date: September 15, 2022Inventors: Sri Karthik BHAGI, Pratima Laxman GADHAVE, Marcelo dos Reis Mansano, Mrityunjay UPADHYAY, PurnaChandra Sekhar BEDHAPUDI, Shyam Sundar Ramkumar
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Publication number: 20220292196Abstract: An information management system includes one or more client computing devices in communication with a storage manager and a secondary storage computing device. The storage manager manages the primary data of the one or more client computing devices and the secondary storage computing device manages secondary copies of the primary data of the one or more client computing devices. Each client computing device may be configured with a ransomware protection monitoring application that monitors for changes in their primary data. The ransomware protection monitoring application may input the changes detected in the primary data into a machine-learning classifier, where the classifier generates an output indicative of whether a client computing device has been affected by malware and/or ransomware. Using a virtual machine host, a virtual machine copy of an affected client computing device may be instantiated using a secondary copy of primary data of the affected client computing device.Type: ApplicationFiled: April 28, 2021Publication date: September 15, 2022Inventors: Sri Karthik BHAGI, Pratima Laxman GADHAVE, Marcelo dos Reis Mansano, Mrityunjay UPADHYAY, PurnaChandra Sekhar BEDHAPUDI, Shyam Sundar Ramkumar
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Publication number: 20220215007Abstract: Described herein are techniques for better understanding problems arising in an illustrative information management system, such as a data storage management system, and for issuing appropriate alerts and reporting to data management professionals. The illustrative embodiments include a number of features that detect and raise awareness of anomalies in system operations, such as in deduplication pruning operations. Such anomalies can include delays in the processing of archive files to be deleted and/or delays in the generation of the list of archive files to delete. Anomalies are characterized by frequency anomalies and/or by occurrence counts. Utilization is also of interest for certain key system resources, such as deduplication databases, CPU and memory at the storage manager, etc., without limitation.Type: ApplicationFiled: January 7, 2022Publication date: July 7, 2022Inventors: Pavan Kumar Reddy BEDADALA, Marcelo dos Reis MANSANO, Rajiv KOTTOMTHARAYIL, Anand VIBHOR, Bhavyan Bharatkumar MEHTA, Mrityunjay UPADHYAY
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Patent number: 11256673Abstract: Described herein are techniques for better understanding problems arising in an illustrative information management system, such as a data storage management system, and for issuing appropriate alerts and reporting to data management professionals. The illustrative embodiments include a number of features that detect and raise awareness of anomalies in system operations, such as in deduplication pruning operations. Such anomalies can include delays in the processing of archive files to be deleted and/or delays in the generation of the list of archive files to delete. Anomalies are characterized by frequency anomalies and/or by occurrence counts. Utilization is also of interest for certain key system resources, such as deduplication databases, CPU and memory at the storage manager, etc., without limitation.Type: GrantFiled: February 12, 2020Date of Patent: February 22, 2022Assignee: Commvault Systems, Inc.Inventors: Pavan Kumar Reddy Bedadala, Marcelo dos Reis Mansano, Rajiv Kottomtharayil, Anand Vibhor, Bhavyan Bharatkumar Mehta, Mrityunjay Upadhyay
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Publication number: 20220043836Abstract: An improved information management system is described herein that can use artificial intelligence to classify data files (e.g., emails, documents, audio files, video files, etc.) and/or surface in a user interface the classification assigned to the data files. For example, a lightweight training or a heavyweight training can be employed to train classifiers to classify the data files. Use of artificial intelligence to classify data files may reduce the amount of computing resources that the information management system allocates to the data file review process because an auditor may be able to quickly identify those data files that meet the desired criteria using the classification and only request access to those data files. Thus, the information management system may be able to allocate more computing resources to normal or routine tasks, ensuring that such tasks are completed and/or completed in an appropriate amount of time.Type: ApplicationFiled: August 7, 2020Publication date: February 10, 2022Inventors: Mrityunjay UPADHYAY, Pavan Kumar Reddy BEDADALA, Marcelo dos Reis MANSANO
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Publication number: 20210073190Abstract: Described herein are techniques for better understanding problems arising in an illustrative information management system, such as a data storage management system, and for issuing appropriate alerts and reporting to data management professionals. The illustrative embodiments include a number of features that detect and raise awareness of anomalies in system operations, such as in deduplication pruning operations. Such anomalies can include delays in the processing of archive files to be deleted and/or delays in the generation of the list of archive files to delete. Anomalies are characterized by frequency anomalies and/or by occurrence counts. Utilization is also of interest for certain key system resources, such as deduplication databases, CPU and memory at the storage manager, etc., without limitation.Type: ApplicationFiled: February 12, 2020Publication date: March 11, 2021Inventors: Pavan Kumar Reddy BEDADALA, Marcelo dos Reis MANSANO, Rajiv KOTTOMTHARAYIL, Anand VIBHOR, Bhavyan Bharatkumar MEHTA, Mrityunjay UPADHYAY
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Publication number: 20200159627Abstract: Indexing preferences generally associate each data source with a type of indexing technology and/or with an index/catalog and/or with a computing device that hosts the index/catalog for tracking backup data generated from the source data. Indexing preferences govern which index/catalog receives transaction logs for a given storage operation. Thus, indexing destinations are defined granularly and flexibly in reference to the source data. Load balancing without user intervention assures that the various index/catalogs are fairly distributed in the illustrative backup systems by autonomously initiating migration jobs. Criteria for initiating migration jobs are based on past usage and going-forward trends. An illustrative migration job re-associates data sources with a different destination media agent and/or index/catalog, including transferring some or all relevant transaction logs and/or indexing information from the old host to the new host.Type: ApplicationFiled: November 15, 2019Publication date: May 21, 2020Inventors: Pavan Kumar Reddy BEDADALA, Parag GOKHALE, Pavlo MAZUR, Prakash VARADHARAJAN, Ankur VARSHENY, Gopikannan VENUGOPALSAMY, Marcelo DOS REIS MANSANO