Hybrid Data Backup Segmentation for Recovery Time Optimization
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Solution Overview
Problem
In cloud computing environments, existing data backup solutions face challenges in balancing redundancy and security with recovery time and expense, particularly when combining local and remote backup approaches.
Innovation Solution
A hybrid data backup method that receives and stores storage configuration parameters, including recovery time objective (RTO) and recovery point objective (RPO), to identify unique data portions and determine a storage solution combining local and remote resources for efficient backup and recovery.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If remote backup solutions are used to provide added redundancy and security, then data protection is improved, but data recovery time and expense increase
Solution Approach 1:
The backup system segments data into unique portions and common portions, storing them differently based on their characteristics and recovery requirements. This allows critical unique data to be prioritized for faster recovery while common data can be retrieved from remote storage.
Solution Approach 2:
The patent implements local quality by making different parts of the backup system have different properties - local storage resources provide fast recovery for critical data, while remote storage provides comprehensive redundancy. The system allocates storage resources based on specific data characteristics and recovery objectives.
2Reliability
If remote backup solutions are used to provide added redundancy and security, then data protection is improved, but expense increases
Solution Approach 1:
The system performs partial backup actions by identifying and backing up only unique portions of data locally, while common portions are stored remotely. This reduces the amount of data requiring expensive local storage resources while maintaining adequate protection through the hybrid approach.
Solution Approach 2:
The patent changes storage parameters dynamically based on data characteristics, recovery time objectives, and cost considerations. The system adjusts what portion of data is stored locally versus remotely, optimizing the balance between protection, recovery speed, and expense.
3Quantity of substance
If de-duplication is performed to identify unique and common data portions, then storage efficiency is improved, but processing complexity increases
Solution Approach 1:
The system creates copies of data portions for comparison purposes during de-duplication, identifying unique and common segments without requiring complex transformations. This simplifies the processing by using straightforward copying and comparison operations.
Data Source
AI summary
Embodiments of the present invention provide a hybrid (e.g., local and remote) approach for data backup in a networked computing environment (e.g., a cloud computing environment). In a typical embodiment, a set of storage configuration parameters corresponding to a set of data to be backed up is received and stored in a computer data structure. The set of storage configuration parameters can comprise at least one of the following: a recovery time objective (RTO), a recovery point objective (RPO), and a desired type of protection for the set of data. Regardless, the set of data is compared to previously stored data to identify at least one of the following: portions of the set of data that have commonality with the previously stored data; and portions of the set of data that are unique to the set of data (i.e., not in common with any of the previously stored data). The above-described process is referred to herein as “de-duplication”. A storage solution is then determined based on the set of storage configuration parameters. In general, the storage solution identifies at least one local storage resource and at least one remote storage resource (e.g., a cloud storage resource) for backing up the portions of the set of data that are unique to the set of data. Once the storage solution has been determined, the unique portions of the set of data will be stored in accordance therewith.