Druva Inc.

Sudeep Jathar

Somesh Jain

Nishant Shivajirao Thorat

Milind Vithal Borate

Ajay Potnis

Prahlad Nishal

Pallavi Thakur

Sandeep Ghadge

Mohit Belsare

A data back-up system configured to back-up one or more data sets from one or more devices to a data back-up server by using a proxy pool is presented. The data back-up system includes a load-balancer configured to distribute the one or more data sets across the proxy pool. The load balancer includes a data receiver configured to receive types of files, number of files, and total size of each file in the one or more data sets; a load estimator configured to estimate a weighted average load of each data set based on the number of files, the total size of each file, a compressibility factor for each file type, and an encryption factor for each file type; and a load distributor configured to distribute the one or more data sets as a plurality of workloads across the proxy pool.

System and method for data back-up using a proxy pool

A system for dynamically optimizing redundant backup of one or more data sets of a plurality of data sets from a client device to a tertiary storage is presented. The system includes a user input module, a parameter comparison module, a backup path selector, and a redundant backup module. The system is configured to dynamically switch between two backup paths including: (A) direct redundant backup of the data set from the client device to the tertiary storage, or (B) back up of the data set from the client device to a secondary storage and redundant backup of the data set from the secondary storage to the tertiary storage. A related method is also presented.

System and method for redundant backup of datasets

A data restoration system including a data management server. The data management server receives one or more data restoration requests for restoring a plurality of data blocks. The data management server determines, based on metadata associated with the data blocks, a first subset of warm data blocks corresponding to warm-tier data and a second subset of cold data blocks corresponding to cold-tier data. The data management server retrieves the warm data blocks in the first subset and restores the warm data blocks in the first subset. The data management server groups the cold data blocks based in part on storage times of the cold data blocks to generate a plurality of cold-tier data retrieval requests. The data management server retrieves the cold data blocks by batches, each batch corresponding to one of the cold-tier data retrieval requests. The data management server restores the cold data blocks in the second subset.

Restoration of warm and cold data blocks based on storage time by batches

The present invention relates generally to backups and more specifically to virtual machine (VM) backups including file exclusion. Aspects of the present invention related to using a specialized buffer to identify a file for exclusion. In embodiments, a file system used by the VM can be used to search for the specialized buffer. In embodiments, when the specialized buffer is located, offsets are noted related to the file associated with the specialized buffer. In embodiments, the offsets are used to zero out blocks associated with the offsets. Thus, the file can be effectively excluded from the backup.

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Pune, India

Sudeep Jathar