Emc IP Holding Company LLC

Himanshu Arora

Shelesh Chopra

Amarendra Behera

Tushar Dethe

Deependra Pratap Singh

Sunil Kumar Yadav

Ravi Vijayakumar Chitloor

Jigar Premajibhai Bhanushali

Sapna Chauhan

Prabhat Kumar Dubey

Gururaj Soma

Anjana Rao

Vipin Kumar Kaushal

Ashish Kumar

Soumen Acharya

Krishnendu Bagchi

Amith Ramachandran

Asif Khan

Yasemin Ugur-Ozekinci

Reshmee Jawed

Pati Mohan

PrabhatKumar Dubey

Deepika Nagabushanam

Navneet Upadhyay

Shraddha Chunekar

Victor Fong

Amy N Seibel

Xuebin He

Arun Chakravarthy

Deepak Anantha Bellare Mallya

Kanagasabapathy Venkatachalam

Described is a system for cloud-based processing of backup data for storage onto various types of object storage systems. A specialized cloud-based component (e.g. proxy server) may act as an intermediary when backing up data from a client system to an object storage. For example, the cloud-based component may be provided as part of backup service that operates in conjunction with a client system. Accordingly, the system may allow different clients of a backup service to efficiently and seamlessly interact with the different third-party object storage providers via a single cloud-based component. To provide such object-storage-agnostic functionality, the cloud-based component may include a function library that includes object-storage-specific functions. For example, the cloud-based component may invoke a specific set of operations that interact with a storage API provided by a particular object storage provider.

Cloud-based processing of backup data for storage onto various types of object storage systems

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.

Specialized data management for performing incremental backups to a cloud-based object storage

Described is a system for managing backup data stored on a cloud-based object storage irrespective of the storage provider. The system may include a server (or gateway) that provides a backup service, and acts as an intermediary between a client device and object storage. To provide such capabilities, the system may manage an application programming interface (API) that provides a uniform set of methods to a client device irrespective of the destination object storage provider. A function library may include provider-specific functions that invoke corresponding storage-layer operations provided by the destination object storage. The server may also manage an operation pool to schedule operations and saturate bandwidth to the object storage. The server may also implement a specialized metadata database to provide further storage efficiencies by storing certain backup data exclusively within the metadata database.

Provider-agnostic management of backup data stored on a cloud-based object storage

Described is a system (and method) for providing multiple types of granular delete operations for a cloud-based 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. The server may allow a client to perform a hard delete (or permanent) delete and a soft delete. The server may perform a specialized processing to synthetically create the soft delete feature using a permanent object delete operation provided by the object storage. The specialized processing may include manipulating retention periods associated with objects depending on whether the object is subject to a hard delete or a soft delete. As a result, the server may provide the ability for clients to perform a soft delete at an object level using existing storage level APIs that do not directly support such a feature.

Synthetically providing multiple types of granular delete operations for a cloud-based object storage

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.

Synchronizing expirations for incremental backup data stored on a cloud-based object storage

Described is a system for rule-based re-tiering of backup data stored on a cloud-based object storage. More specifically, the system may re-tier objects based on one or more storage rules 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 initiating a re-tiering based on one or more storage rules, the system may intelligently select candidate objects for re-tiering by leveraging the metadata database to ensure that objects that may still need to be referenced are not unnecessarily moved to a lower storage tier.

Rule-based re-tiering of incremental backup data stored on a cloud-based object storage

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.

Intelligent re-tiering of incremental backup data stored on a cloud-based object storage

A system including persistent storage for storing an object repository and a user data backup. The system also includes a manager that obtains fragmented user data associated with an object that is potentially duplicative of an object stored in the object repository; makes a determination that the object is duplicative based on a copy of the object stored in the object repository; in response to making the determination, adds the fragmented user data to a user data backup without adding the object to the backup; associates the fragmented user data in the user data backup with the copy of the object stored in the object repository; and stores the user data backup in the persistent storage.

Method and system for indexing fragmented user data objects

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.

Pre-emptive container load-balancing, auto-scaling and placement

A backup manager for managing backup services includes persistent storage and a backup analyzer. The persistent storage includes a backup data repository and protection policies. The backup analyzer identifies a new backup stored in backup storage; performs a backup compatibility analysis on the new backup to determine inter-backup compatibility of the identified new backup; updates the backup data repository based on the inter-backup compatibility to obtain an updated backup data repository; and modifies a backup schedule using the updated backup data repository to meet a requirement of a protection policy of the protection policies.

System and method for ensuring compliance of protection policy requirements using visual representation of backups

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.

Method and system for generating user data visualization enhanced user data backups of limited-access user data

A method and system for capturing asset protection metadata pertinent to analytics. Specifically, the disclosed method and system entail aggregating and maintaining asset protection metadata&#x2014;i.e., metadata descriptive of performed asset backup and recovery operations&#x2014;in a central location. The asset protection metadata may include information relevant to backup and recovery analytics and reporting, while the maintaining said metadata in the central location facilitates access of the metadata by third-party analytics services.

Method and system for capturing asset protection metadata pertinent to analytics

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.

Method and system for asset protection threat detection and mitigation using interactive graphics

A system for providing data protection services for user data generated by an application, includes persistent storage for storing user data backups and a manager. The manager is programmed to identify a backup generation event for user data based on a protection policy, in response to identifying the backup generation event, obtain user data associated with the backup generation event from the application, select a calendar of calendars included in the user data, obtain user metadata associated with the calendar, and generate a user data backup using the user data and the user metadata, in which the user data backup comprises calendar events of the calendar and portions of the user metadata associated with the calendar events.

Method and system for performing data protection services for user data associated with calendar events

A system for providing data protection services for user data associated with calendar groups generated by an application includes persistent storage for storing user data backups and a manager. The manager is programmed to identify a backup generation event for the user data associated with a calendar group based on a protection policy, obtain user data associated with the backup generation event from the application in response to identifying the backup generation event, select a calendar of calendars included in the user data, obtain user metadata associated with the calendar, generate calendar group information associated with the calendar using the user data and the user metadata, generate a user data backup using the user data, the calendar group information, and the user metadata, in which the user data backup comprises backup data and backup metadata.

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Bengaluru, India

Himanshu Arora