Intelligent Data Dissemination Gateway for Backup Storage Routing
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Solution Overview
Problem
Current backup applications lack the ability to dynamically adjust the storage destination of backup data sets based on the type and characteristics of the data, leading to potential inefficiencies and security concerns when using cloud storage.
Innovation Solution
Implementing a system with a gateway device that profiles and classifies backup data sets, allowing them to be directed to specific targets such as public or private clouds, local devices, based on their criticality and security needs, using metadata and rules to determine the optimal storage location.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If backup data sets are stored in the cloud without classification, then storage capacity is improved, but data security and reliability deteriorate
Solution Approach 1:
The patent applies local quality by classifying backup data into different categories (e.g., critical, non-critical, regulated, unregulated) and storing each category in appropriately suited storage locations. Critical and regulated data are stored in private cloud or on-premises storage with enhanced security, while non-critical data can be stored in public cloud. This ensures that each data type receives the appropriate level of security and protection rather than treating all data uniformly.
Solution Approach 2:
The patent segments backup data into distinct categories based on criticality and regulatory requirements. By dividing the backup data set into multiple segments with different security classifications, the system can apply different storage policies, security measures, and protection mechanisms to each segment, thereby improving overall data security while maintaining efficient storage utilization.
2Ease of operation
If backup destination is fixed by client name, then operational simplicity is improved, but adaptability deteriorates
Solution Approach 1:
The patent implements dynamics by making the backup destination selection adaptive rather than fixed. The system dynamically determines the appropriate storage location based on real-time analysis of data characteristics, criticality levels, and regulatory requirements. This allows the backup policy to automatically adjust and adapt to changing data types and security requirements, moving away from static client-name-based destination assignment.
Solution Approach 2:
The patent employs feedback mechanisms where the system continuously monitors and analyzes the characteristics of backup data, then uses this information to dynamically adjust destination selection. The system receives feedback about data criticality, type, and regulatory requirements, and automatically adjusts the backup destination accordingly, creating a closed-loop system that improves both adaptability and operational simplicity.
3Device complexity
If conventional backup applications are used, then device complexity is reduced, but productivity deteriorates
Solution Approach 1:
The patent applies self-service by enabling the backup system to automatically classify data, determine criticality levels, and select appropriate storage destinations without requiring complex manual configuration or intervention. The system autonomously analyzes backup data characteristics and makes intelligent decisions about storage allocation, thereby improving productivity while maintaining relatively simple operational procedures for users.
Data Source
AI summary
Systems and methods for disseminating backup data sets to targets. Backup data sets are classified with an attribute. A gateway device between the backup application and potential target destinations for the backup data set determines where to send the backup data set based on the attribute.