Linked LDAP Attributes for Client Encoding Compatibility
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Solution Overview
Problem
LDAP databases face administrative burdens due to semantic overlap between attributes defined by different standards, leading to synchronization issues and errors when different clients expect attributes in different formats or encodings.
Innovation Solution
Implementing linked attributes in LDAP databases, where changes to one attribute automatically update semantically-related attributes, ensuring compatibility with various clients by storing linking information within the database or in separate entries, and using conversion functions to format responses correctly.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If multiple attribute types are maintained to support different client encoding requirements, then client compatibility is improved, but administrative burden and complexity increase
Solution Approach 1:
The patent introduces a mapping mechanism that acts as an intermediary between the standardized LDAP attribute storage and the diverse client encoding requirements. This mapping layer translates between different attribute type representations without requiring the database to maintain multiple versions of the same attribute, thereby reducing administrative complexity while preserving client compatibility.
Solution Approach 2:
The invention implements a universal attribute type system where a single attribute type can serve multiple client standards through configurable mappings. This allows one attribute definition to fulfill the requirements of different clients (e.g., Unix crypt, LDAP standard, custom encodings) without creating separate attribute types for each client, thus reducing overall system complexity.
2Adaptability or versatility
If all different attributes and values are maintained for different clients, then client compatibility is improved, but administrative errors increase
Solution Approach 1:
The mapping mechanism serves as a controlled intermediary that manages the translation between attribute representations. By centralizing the mapping logic, the system reduces the risk of administrative errors that would occur when manually maintaining multiple attribute definitions and their relationships across different client standards.
Solution Approach 2:
The system incorporates validation and consistency checking mechanisms that provide feedback when attribute mappings are updated or when data is retrieved. This feedback loop helps prevent administrative errors by detecting inconsistencies before they affect client operations, thereby improving reliability while maintaining compatibility.
3Reliability
If attribute synchronization is manually maintained, then data consistency is improved, but time consumption increases
Solution Approach 1:
The patent implements automatic attribute synchronization where changes to attributes are automatically propagated to mapped attributes and to clients that require different encodings. This self-service mechanism eliminates the need for manual synchronization operations, reducing administrative time while maintaining data consistency across all client interfaces.
Solution Approach 2:
The system performs preliminary actions by pre-configuring mapping rules and transformation functions that automatically apply when data is written or updated. This preliminary setup ensures that synchronization occurs automatically without requiring manual intervention, thereby reducing both time consumption and administrative effort while maintaining reliability.
Data Source
AI summary
Information to link two attributes in a database is stored, and when one of the attributes is updated, a new value for the second attribute is computed and stored. Related systems and applications are also described.