Automated Cold Tiering for ROT Data Without Manual Review
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing data storage systems struggle to efficiently identify and manage redundant, obsolete, and trivial (ROT) data, leading to increased storage costs, infrastructure costs, and environmental impact, while current solutions rely on resource-intensive efforts and pose security and privacy risks.
Innovation Solution
A framework that enables data protection systems to perform machine learning processes internally to identify and automatically migrate or delete ROT data, reducing storage and infrastructure costs, minimizing networking costs and environmental impact, and ensuring organization-specific data privacy and security.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If resource-intensive methods are used to identify ROT data, then identification accuracy is improved, but computing resources and time are excessively consumed
Solution Approach 1:
The patent segments the ROT data identification process into multiple components: data protection systems identify candidate ROT data, transfer it to a security system, which then identifies final ROT data using security context. This segmentation distributes computing workload and improves identification accuracy by combining multiple specialized systems.
Solution Approach 2:
The patent introduces a security system as an intermediary between data protection systems and storage systems. The security system receives candidate ROT data, applies security context and policies, and determines final ROT data identification. This intermediary approach improves accuracy without requiring data protection systems to perform resource-intensive security analysis.
2Measurement precision
If ROT data is transferred to remote systems for identification, then identification capability is improved, but networking costs and security risks increase
Solution Approach 1:
The security system acts as a secure intermediary that receives only candidate ROT data (not full data sets), processes them locally using organization-specific security context, and returns identification results. This intermediary approach enables improved identification capability while minimizing networking costs and security risks by keeping sensitive processing local.
Solution Approach 2:
The patent implements local quality by enabling the security system to process candidate ROT data locally using organization-specific security context, policies, and definitions stored locally. This local processing improves identification capability while avoiding the security and networking costs of remote processing.
3Adaptability or versatility
If manual processes are used to manage ROT data, then flexibility and customization are improved, but labor costs and time consumption increase
Solution Approach 1:
The patent implements self-service by enabling the security system to automatically apply organization-specific security policies, context, and definitions to identify ROT data without manual intervention. The system autonomously manages ROT data identification and migration while maintaining full organizational customization, eliminating time and labor resources.
Solution Approach 2:
The patent applies preliminary action by pre-configuring organization-specific security context, policies, and ROT data definitions in the security system before ROT data identification begins. This preliminary setup enables automated, flexible customization while eliminating ongoing manual processes and time consumption.
4Speed
If all data is retained in active storage, then data accessibility is improved, but storage costs and environmental impact increase
Solution Approach 1:
The patent extracts identified ROT data from active storage systems and migrates it to cold storage or deletes it. This extraction process maintains data accessibility for non-ROT data while reducing storage costs and environmental impact by removing unnecessary data from energy-intensive active storage infrastructure.
Solution Approach 2:
The patent implements discarding and recovering by migrating或删除 identified ROT data from active storage to cold storage or permanent deletion. This process maintains accessibility for valuable data while discarding redundant data that consumes storage resources and energy, achieving cost and environmental benefits without sacrificing necessary data accessibility.
Data Source
AI summary
A method for managing data includes: upon identifying a data path activity, analyzing, using a fine-tuned model and a second model, ingested data to generate an evaluation score for the ingested data; making, based on the analyzing, a first determination that the evaluation score exceeds an administrator-defined threshold; making, based on the first determination, a second determination that input of a user is not required before taking an action on the ingested data; initiating, based on the second determination, migration of the ingested data to a storage; initiating, when the ingested data is migrated to the storage, deletion of the ingested data from the data protection system; and initiating, via a graphical user interface (GUI) of a client, notification of the user to indicate that the ingested data is migrated to the storage.