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1.
公开(公告)号:US12032445B2
公开(公告)日:2024-07-09
申请号:US17126582
申请日:2020-12-18
发明人: Sunil Yadav , Shelesh Chopra , Ravi Vijayakumar Chitloor , Tushar Dethe , Amarendra Behera , Deependra Singh , Jigar Bhanushali , Himanshu Arora , Prabhat Kumar Dubey
CPC分类号: G06F11/1446 , G06F16/2379 , G06F2201/80
摘要: Described is a system (and method) for specialized data management when performing incremental backups to a cloud-based object storage. When backing up client data, the server may utilize incremental backups to conserve the amount of storage space required on the object storage. However, the server may implement a configuration that enables full reconstruction of the client data at the time of recovery. To provide such capabilities, the server may leverage a specialized metadata database. The metadata database may be an embedded database maintained by the server. The server may leverage the metadata database to provide further storage efficiencies by storing certain incremental backup data exclusively within the metadata database. Accordingly, the server may implement a data management configuration as part of a backup service that conserves storage usage, and as a result, storage costs when using on a third-party cloud-based object storage.
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公开(公告)号:US11604682B2
公开(公告)日:2023-03-14
申请号:US17139210
申请日:2020-12-31
发明人: Xuebin He , Amy N. Seibel , Himanshu Arora , Victor Fong
摘要: A resource usage platform is disclosed. The platform performs preemptive container load balancing, auto scaling, and placement in a computing system. Resource usage data is collected from containers and used to train a model that generates inferences regarding resource usage. The resource usage operations are performed based on the inferences and on environment data such as available resources, service needs, and hardware requirements.
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3.
公开(公告)号:US11507467B2
公开(公告)日:2022-11-22
申请号:US16673341
申请日:2019-11-04
发明人: Amarendra Behera , Shelesh Chopra , Tushar B. Dethe , Gururaj Soma , Himanshu Arora , Deependra Pratap Singh
摘要: A method and system for asset protection threat detection and mitigation using interactive graphics. Specifically, the disclosed method and system entail discerning protection vulnerabilities exhibited by assets (or databases) based on maintained backup metadata. These protection vulnerabilities may subsequently be visualized as part of a projected graphical user interface, which may not only disclose the protection vulnerabilities to a user but also may enable the user to rectify the disclosed protection vulnerabilities through on-demand asset backup operations.
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公开(公告)号:US20220229732A1
公开(公告)日:2022-07-21
申请号:US17150077
申请日:2021-01-15
发明人: Ravi Vijayakumar Chitloor , Sunil Yadav , Shelesh Chopra , Amarendra Behera , Tushar Dethe , Deependra Singh , Prabhat Kumar Dubey , Himanshu Arora , Jigar Bhanushali
IPC分类号: G06F11/14
摘要: Described is a system for intelligent re-tiering of backup data stored on a cloud-based object storage. More specifically, the system may re-tier objects such that the system retains the ability to efficiently perform a full restore of backup data even when incremental backups are performed to a cloud-based object storage. To provide such a capability, the system may maintain a specialized metadata database that stores information indicating the backup time for each backup, and a list of objects required to perform a full restore to each of the backup times. Accordingly, when using a threshold time (e.g. expiry) to select object candidates for re-tiering, the system may leverage the metadata database to ensure that objects that may still need to be referenced are not unnecessarily moved to a lower storage tier.
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5.
公开(公告)号:US20220197749A1
公开(公告)日:2022-06-23
申请号:US17126582
申请日:2020-12-18
发明人: Sunil Yadav , Shelesh Chopra , Ravi Vijayakumar Chitloor , Tushar Dethe , Amarendra Behera , Deependra Singh , Jigar Bhanushali , Himanshu Arora , Prabhat Kumar Dubey
摘要: Described is a system (and method) for specialized data management when performing incremental backups to a cloud-based object storage. When backing up client data, the server may utilize incremental backups to conserve the amount of storage space required on the object storage. However, the server may implement a configuration that enables full reconstruction of the client data at the time of recovery. To provide such capabilities, the server may leverage a specialized metadata database. The metadata database may be an embedded database maintained by the server. The server may leverage the metadata database to provide further storage efficiencies by storing certain incremental backup data exclusively within the metadata database. Accordingly, the server may implement a data management configuration as part of a backup service that conserves storage usage, and as a result, storage costs when using on a third-party cloud-based object storage.
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公开(公告)号:US11095745B1
公开(公告)日:2021-08-17
申请号:US17079034
申请日:2020-10-23
发明人: Sunil Yadav , Shelesh Chopra , Amarendra Behera , Ravi Vijayakumar Chitloor , Tushar Dethe , Jigar Bhanushali , PrabhatKumar Dubey , Deependra Singh , Himanshu Arora
摘要: Described is a system for cloud-based scheduling of data operations to an object storage. The system may include a server that acts as an intermediary between a client device and an object storage that stores client data. Requests by the client device to manage data on the object storage may be routed through the server. In response, the server may execute corresponding data operations directly on the object storage. The server may manage bandwidth limits for operation requests to an object storage by maintaining a specialized operation pool. The operation pool may be configured to manage operation-specific queues, and these operation-specific queues may include sub-operations (or threads) that are executed on the object storage. Sub-operations of various types of operations may be initiated for concurrent execution on the object storage based on scheduling information derived from the operation pool.
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7.
公开(公告)号:US20210133036A1
公开(公告)日:2021-05-06
申请号:US16673341
申请日:2019-11-04
发明人: Amarendra Behera , Shelesh Chopra , Tushar B. Dethe , Gururaj Soma , Himanshu Arora , Deependra Pratap Singh
摘要: A method and system for asset protection threat detection and mitigation using interactive graphics. Specifically, the disclosed method and system entail discerning protection vulnerabilities exhibited by assets (or databases) based on maintained backup metadata. These protection vulnerabilities may subsequently be visualized as part of a projected graphical user interface, which may not only disclose the protection vulnerabilities to a user but also may enable the user to rectify the disclosed protection vulnerabilities through on-demand asset backup operations.
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公开(公告)号:US20210132809A1
公开(公告)日:2021-05-06
申请号:US16672313
申请日:2019-11-01
发明人: Asif Khan , Amith Ramachandran , Amarendra Behera , Deepika Nagabushanam , Ashish Kumar , Pati Mohan , Tushar Dethe , Himanshu Arora , Gururaj Soma , Sapna Chauhan , Soumen Acharya , Reshmee Jawed , Shelesh Chopra , Yasemin Ugur-Ozekinci , Navneet Upadhyay , Shraddha Chunekar , Deepak Anantha Bellare Mallya , Arun Chakravarthy , Kanagasabapathy Venkatachalam
IPC分类号: G06F3/06
摘要: A backup storage for managing backups of clients includes persistent storage and a backup analyzer. The persistent storage includes the backups, protection policies, and an early deletion schedule. The backup analyzer obtains a request to analyze a protection policy of the protection policies; in response to obtaining the request: obtains backup data information associated with the protection policy; makes a determination, based on the backup data information and the protection policy, that a portion of the backups associated with the protection policies overprotect a client of the clients associated with the protection policy; and modifies the early deletion schedule based on the determination to obtain a modified early deletion schedule.
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9.
公开(公告)号:US11809280B2
公开(公告)日:2023-11-07
申请号:US17193919
申请日:2021-03-05
发明人: Shelesh Chopra , Sunil Yadav , Amarendra Behera , Ravi Vijayakumar Chitloor , Tushar Dethe , Himanshu Arora , Prabhat Kumar Dubey , Jigar Bhanushali , Deependra Singh
IPC分类号: G06F11/14
CPC分类号: G06F11/1451 , G06F11/1461 , G06F11/1464 , G06F2201/80
摘要: Described is a system for synchronizing expiration times for incremental backup data stored on a cloud-based object storage. More particularly, the system may provide a layer of intelligence when updating the expiration times associated with backup data to ensure that a full recovery of the client data to a point-in-time of any incremental backup may be performed. To provide such a capability, the system may maintain specialized metadata identifying expiration times for objects and a list of objects required to perform a full recovery to a point-in-time for each of the performed backups (e.g. full or incremental). The system may access this metadata to identify which objects stored by a previous backup are still referenced by a subsequent backup. Based on the identified objects, the system may synchronize object expiration times to ensure objects are not prematurely deleted from the object storage.
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公开(公告)号:US11467921B2
公开(公告)日:2022-10-11
申请号:US16886488
申请日:2020-05-28
发明人: Shelesh Chopra , Sunil Yadav , Amarendra Behera , Himanshu Arora , Tushar Dethe , Sapna Chauhan , Anjana Rao , Deependra Pratap Singh , Jigar Premajibhai Bhanushali , Ravi V. Chitloor
摘要: A system for providing backup services for limited-access user data includes persistent storage for storing a user data visualization enhanced user data backup and a manager. The manager identifies a backup generation event for limited-access user data based on a protection policy; in response to identifying the backup generation event, obtains fragmented user data from an application that gates access to the limited-access user data; obtains organizational metadata associated with the fragmented user data from the application; makes a determination that the fragmented user data is associated with a user data visualization; in response to making the determination, obtains user data visualization metadata associated with the fragmented user data from the application; and generates the user data enhanced user data backup using the organizational metadata, the user data visualization metadata, and the fragmented user data.
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