Druva Inc.

Platform9, Inc.

Shubham Agarwal

Somesh Jain

Rohit Singh

Milind Vithal Borate

Roopak Parikh

Madhura Maskasky

Mayuresh Kulakarni

Pushkar Acharya

Ashutosh Tiwari

Anirudh Pokala

Omkar Deshpande

Saurabh Bhavsar

The present invention discloses a file storage system including an object storage for storing data blocks for a client, a merge index database to store metadata corresponding to the stored data blocks using a merge index, a cloudcache located on a premise of the client, and a cloudcache implementation module communicatively coupled to the object storage, the cloudcache and the merge index database. The cloudcache implementation module facilitates data backup and restore operations for the client in accordance with a data retention policy, where one or more data blocks are stored on the cloudcache and a sync operation is performed between the cloudcache and the object storage. A backup of the data blocks is performed to the cloudcache in a backup operation, data blocks are compacted, and a restore operation for data blocks stored on the cloudcache are performed in accordance with the data retention policy.

Cloudcache implementation for an object storage-based file system

A file system and a related method are presented. The file system includes a data storage including a plurality of data blocks; a merge index including a plurality of namespace entries, wherein the plurality of namespace entries include a plurality of blockmap entries and a plurality of local reference entries; a deduplication database including a plurality of deduplication indices and a plurality of global reference entries for a plurality of datasets; and an indexing system configured to generate the plurality of namespace entries and the plurality of global reference entries.

Data compaction systems and method

A system and a method for managing workload of an application in a cloud infrastructure is disclosed. The cloud infrastructure may include an existing cloud infrastructure (ECI) and an Elastic Machine Pool Infrastructure (EMPI). The method may include connecting the EMPI to the ECI by configuring cloud control manager of the ECI. Further, the method may include receiving the workload from the application running on the cloud infrastructure. The workload may be allocated to an Elastic Virtual Machine (EVM) hosted by the EMPI or a VM hosted by the ECI based on at least one of an EMP profile of the application, status of the EVM, and workload characteristics of the EVM. Further, the one or more bare metal servers and the one or more EVMs may be managed based on at least one of the workload characteristics and the status of the EVM.

System and method for managing workload of an application in a cloud computing environment

A data management system may maintain a total-size counter for the file system. The total-size counter represents a sum of data size related to snapshots backed up to the file system. The data management system may perform data operation cycles to the file system. Each data operation cycle corresponds to a snapshot that includes files. Each data operation cycle may include incrementing the total-size counter by the data size of the files in the snapshot exchanged with the file system and adding, to a snapshot record, the amount of increment in incrementing the total-size counter as an increment-size counter. A data management system may perform a correction operation to correct the total-size counter. The correction operation may change the total-size counter by a difference between the total of the increment-size counters in the snapshot records and the total data size of file data exchanged with the file system.

Usage correction in a file system

Growing community of inventors

Rajasthan, India

Shubham Agarwal