Automated Data Disposition Orchestration for Storage Optimization

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Solution Overview

Problem

Existing systems face challenges in accurately identifying and managing electronic data for deletion, leading to increased storage costs and security risks due to the accumulation of unnecessary data, including media files and sensitive information stored in insecure locations.

Innovation Solution

An information management system that automates the classification and orchestration of data deletion services, allowing for granular control over data value and lifecycle management, enabling entities to selectively delete data based on its relevance and compliance requirements, regardless of storage location.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If data is retained to ensure compliance and security, then reliability is improved, but storage costs and computing resource consumption increase

Engineering Contradiction:
Improvedata security and complianceVSAvoidstorage space consumption
Core Design Contradiction:
ReliabilityVSQuantity of substance

Solution Approach 1:

The patent segments data into different categories based on value, sensitivity, and compliance requirements. By classifying data into distinct groups, the system can apply different retention and deletion strategies to each segment, retaining only necessary data while deleting unnecessary data, thus reducing storage consumption while maintaining reliability for critical data

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The patent changes the parameter of data retention by implementing automated deletion policies that dynamically adjust retention periods and deletion timing based on data characteristics. This allows the system to optimize the balance between maintaining data for compliance/security purposes and reducing storage consumption by deleting data at appropriate times

Inventive Principle:
Principle #35Parameter changes

2Productivity

If automated deletion services are implemented, then productivity is improved, but device complexity increases

Engineering Contradiction:
Improvedata management efficiencyVSAvoidsystem architecture complexity
Core Design Contradiction:
ProductivityVSDevice complexity

Solution Approach 1:

The patent introduces an intermediary information management system that acts as a mediator between data storage and deletion operations. This intermediary system coordinates deletion services, manages classification, and orchestrates the deletion process, thereby improving productivity while containing complexity within a dedicated management layer rather than distributing it throughout the entire system

Inventive Principle:
Principle #24Intermediary (Mediator)

Solution Approach 2:

The patent implements self-service mechanisms where the automated deletion system independently identifies, classifies, and deletes data based on predefined policies without requiring continuous human intervention. This self-service capability improves productivity by automating routine data management tasks while the initial configuration complexity is established once and then maintains itself

Inventive Principle:
Principle #25Self-service

3Device complexity

If manual deletion procedures are used, then device complexity is reduced, but loss of time increases due to owner review requirements

Engineering Contradiction:
Improvesystem simplicityVSAvoiddata review and deletion time
Core Design Contradiction:
Device complexityVSLoss of time

Solution Approach 1:

The patent applies preliminary action by pre-classifying data and pre-determining deletion policies before deletion is needed. The system prepares data for deletion in advance by categorizing it according to value and compliance requirements, so that when deletion is required, the process can proceed immediately without time-consuming manual review, thus reducing time loss while maintaining reasonable system complexity

Inventive Principle:
Principle #10Preliminary action

Data Source

PatentUS10606901B1Data disposition services orchestrated in an information management infrastructure
Publication Date: 2020.03.31 EMC IP HLDG CO LLC
  • US10606901B1 patent drawing
  • US10606901B1 patent drawing
  • US10606901B1 patent drawing

AI summary

Deleting objects in a computing system. Information management can be used to provide disposition services including the deletion of selected objects. The categorization process of information management can also be used to assign categories to objects such that an entity understands what the objects are. Understanding what the objects are may include the application of logic, including user-defined logic, to examine the objects. The results of the logic can then be used to assign categories to the objects. The policies of a user, which often define how objects should be treated are implemented by mapping the categories to the appropriate data disposition services. Once the specific disposition services, which include file deletion, are known, a workflow may be initiated to provide a period of review prior to physical deletion of the objects from the computing environment.