Emc IP Holding Company LLC

PrabhatKumar Dubey

Shelesh Chopra

Sunil Kumar Yadav

Amarendra Behera

Tushar Dethe

Ravi Vijayakumar Chitloor

Himanshu Arora

Jigar Premajibhai Bhanushali

Deependra Pratap Singh

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 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 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.

Cloud-based scheduling of data operations to an object storage using an operation pool

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Huskuru, India

PrabhatKumar Dubey