Dell products l.p. (20240103977). DISTRIBUTED AND DEDUPLICATING FILE SYSTEM FOR STORING BACKUP METADATA TO OBJECT STORAGE simplified abstract
Contents
- 1 DISTRIBUTED AND DEDUPLICATING FILE SYSTEM FOR STORING BACKUP METADATA TO OBJECT STORAGE
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 DISTRIBUTED AND DEDUPLICATING FILE SYSTEM FOR STORING BACKUP METADATA TO OBJECT STORAGE - A simplified explanation of the abstract
- 1.4 Simplified Explanation
- 1.5 Potential Applications
- 1.6 Problems Solved
- 1.7 Benefits
- 1.8 Potential Commercial Applications
- 1.9 Possible Prior Art
- 1.10 Original Abstract Submitted
DISTRIBUTED AND DEDUPLICATING FILE SYSTEM FOR STORING BACKUP METADATA TO OBJECT STORAGE
Organization Name
Inventor(s)
Philip Shilane of Newtown PA (US)
Abhinav Duggal of Fremont CA (US)
George Mathew of Belmont CA (US)
Chegu Vinod of San Jose CA (US)
DISTRIBUTED AND DEDUPLICATING FILE SYSTEM FOR STORING BACKUP METADATA TO OBJECT STORAGE - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240103977 titled 'DISTRIBUTED AND DEDUPLICATING FILE SYSTEM FOR STORING BACKUP METADATA TO OBJECT STORAGE
Simplified Explanation
The abstract describes a distributed and deduplicating file system that stores backup metadata to object storage. Here is a simplified explanation of the patent application:
- A node in a cluster of nodes receives backup data for a data file.
- The node identifies metadata associated with deduplicated data by deduplicating the backup data.
- If the access frequency of the metadata meets certain criteria, the cluster writes the metadata to memory devices in each node.
- If the access frequency or size of the metadata does not meet the criteria, the node writes the information to object storage.
Potential Applications
The technology described in the patent application could be applied in:
- Cloud storage systems
- Data backup solutions
- Enterprise file management systems
Problems Solved
This technology addresses the following issues:
- Efficient storage of backup metadata
- Deduplication of data to save storage space
- Distributed file system management
Benefits
The benefits of this technology include:
- Reduced storage costs
- Improved data deduplication efficiency
- Scalability in distributed systems
Potential Commercial Applications
The potential commercial applications of this technology could include:
- Backup and recovery software
- Data storage solutions for large enterprises
- Cloud service providers
Possible Prior Art
One possible prior art for this technology could be:
- Existing deduplication algorithms used in backup software
What is the impact of this technology on data storage efficiency?
This technology significantly improves data storage efficiency by deduplicating backup data and storing metadata in a distributed manner, reducing storage costs and optimizing resource utilization.
How does this technology enhance data backup processes in distributed systems?
By storing backup metadata to object storage and distributing it across memory devices in a cluster of nodes, this technology ensures efficient data backup processes, improving reliability and scalability in distributed systems.
Original Abstract Submitted
a distributed and deduplicating file system that stores backup metadata to object storage is described. a node, in a cluster of nodes, receives backup data associated with a write operation to back up a data file, and identifies metadata associated with deduplicated data by deduplicating the backup data. if the access frequency associated with the metadata is greater than or equal to an access threshold, and the size of the metadata is less than or equal to a storage threshold, the cluster writes the metadata to each of the memory devices corresponding to the nodes in the cluster. if the access frequency associated with the metadata is less than the access threshold, or the size of the metadata is more than the storage threshold, the node writes information which includes the metadata to an object storage that stores data objects for the nodes in the cluster.
