Cascaded Discovery Module for Network Data Classification
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Solution Overview
Problem
Current information management systems fail to effectively identify and provide the necessary services for electronic data in networks, often resulting in either excessive or insufficient protection, due to their inability to understand and automate the classification of environment objects within the network.
Innovation Solution
The system employs a discovery module that uses adapters to cascade through the network, collecting metadata about environment objects such as servers and applications, enabling the classification and orchestration of services based on the identified attributes and requirements, thereby ensuring that data is properly safeguarded with cost-effective services.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If automated discovery and classification of environment objects is implemented, then service identification accuracy is improved, but system complexity increases
Solution Approach 1:
The system segments the information management task into distinct modules: a discovery module that identifies environment objects and their attributes, a classification module that categorizes data based on discovered attributes, and a service provisioning module that assigns services based on classification. This segmentation resolves the contradiction by distributing complexity across specialized components while improving overall service identification accuracy through systematic object attribute discovery and classification.
2Reliability
If manual service assignment is used for all data, then service coverage is improved, but productivity deteriorates
Solution Approach 1:
The system implements self-service through automated discovery and classification mechanisms. The discovery module automatically identifies environment objects and their attributes without human intervention, and the classification module autonomously categorizes data based on discovered attributes. This self-service capability ensures comprehensive service coverage for all data while dramatically improving productivity by eliminating the need for manual service assignment to each individual data item.
Solution Approach 2:
The system incorporates feedback loops where the discovery module continuously monitors environment objects, updates their attributes, and triggers reclassification when changes are detected. This feedback mechanism ensures that service coverage remains comprehensive and adaptive to changing conditions while maintaining high productivity through automated responses to environmental changes without requiring manual reassignment.
3Object-affected harmful factors
If comprehensive data classification is performed, then data security is improved, but loss of time increases
Solution Approach 1:
The system performs preliminary classification actions by discovering and categorizing environment objects and their attributes in advance. The discovery module proactively identifies objects and their characteristics, and the classification module pre-categorizes data based on these discovered attributes before security threats or access requests occur. This preliminary action ensures comprehensive data security through thorough classification while minimizing time loss during actual data access or security events, as the classification work is already completed.
Data Source
AI summary
Discovering environment objects for information management in a networked environment. Information management provides services such as data protection, backup, retention, compliance, etc., by classifying the objects and/or infrastructure of an entity according to its value to the entity. Information management begins by discovering the data in a network and by discovering the servers and services operating in a network. The servers and services are discovered using adapters that can collect information regarding the environment objects. Objects can be discovered using cascaded discovery, where the information collected by one adapter is used to drive the collection of additional information by other adapters. This information can then by used by information management systems to assign or orchestrate various services.