Classifier Behavior Manager for Dynamic Data Protection
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Solution Overview
Problem
Current data management systems struggle to scale with the rapid growth of large-scale data in enterprise environments, particularly in handling evolving data and maintaining stability amidst changes in classifiers, which affects dataset membership and management demands.
Innovation Solution
A large-scale data management system that utilizes content-based datasets to centrally manage and protect data across multiple storage devices and networks, using metadata to create logical datasets that can span various environments, allowing for automated tracking of data changes and application of protection policies based on data types rather than locations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If a single person or small team manages data lifecycle, then data protection policies can be applied, but the system cannot scale to handle increasing data volumes
Solution Approach 1:
The system enables automated data lifecycle management where the data management system itself performs classification, policy application, and lifecycle operations without requiring human intervention for each data object. The classifier automatically categorizes data and the system applies appropriate protection policies based on data characteristics, allowing the system to scale independently of human resources.
2Reliability
If lifecycle rules are data-specific requiring knowledge of data location and creator, then precise data control is achieved, but management complexity increases significantly
Solution Approach 1:
The system changes the approach from location-specific and creator-specific rules to content-based classification. Instead of managing data based on where it is stored or who created it, the system classifies data based on its content characteristics and applies policies based on these classifications. This transforms the management paradigm from complex tracking of data provenance to simpler content-based rule application.
3Measurement precision
If classifiers evolve with new versions and tighter definitions, then classification accuracy improves, but dataset membership stability decreases
Solution Approach 1:
The system implements dynamic classifier management where classifier versions and definitions can evolve over time. The behavior manager tracks changes in classifier behavior and manages the transition from old to new classifiers, allowing the system to adapt to improving classification accuracy while managing the impact on dataset membership stability through controlled transitions.
4Productivity
If classifier changes affect vast numbers of datasets and data objects, then classification thoroughness improves, but system instability increases
Solution Approach 1:
The behavior manager implements feedback mechanisms that monitor classifier changes and their impact on dataset memberships. When classifiers are updated or new versions are introduced, the system tracks how these changes affect data object classifications and dataset compositions, allowing operators to observe and manage the propagation of changes throughout the system to maintain stability.
Data Source
AI summary
Classifying data objects for the content-based protection and process control in a system and modifying a classification based on evolving data. Data objects stored in the system are scanned to identify data objects to be processed similarly with respect to data protection or access control. A dataset comprising metadata for corresponding data objects is generated, and a classifier labels the dataset with a classifier tag to indicate an ownership group. Data objects that belong to the dataset are similarly tagged with the classifier so that the same operations are performed on this data regardless of location. A monitor tracks changes in the dataset based system evolution to determine a change in the classifier for the dataset based on the change. A classifier behavior tag is appended to the dataset specify an operation of the classifier to accommodate the tracked change.