N-leg search tree for variable-length identifier routing
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Solution Overview
Problem
Real-time computer systems face challenges in rapidly identifying country codes within structured alphanumeric identification codes, such as phone numbers, due to their variable length, which increases the time required for data routing and access.
Innovation Solution
The implementation of an N-leg search tree structure allows for rapid data access and storage by traversing a tree associated with structured identifiers, minimizing search overhead and enabling efficient data distribution, particularly in telephone routing systems.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of time
If traditional linear search methods are used to identify country codes in variable-length phone numbers, then the system can handle all identifier formats, but the search time increases significantly
Solution Approach 1:
The patent segments the phone number identification process into multiple hierarchical levels (N-leg search tree structure). Instead of searching the entire variable-length identifier linearly, the system divides the search into segments corresponding to different tree levels, where each level processes a portion of the identifier. This segmentation reduces the search space at each step, dramatically decreasing overall search time while maintaining the ability to handle variable-length identifiers.
Solution Approach 2:
The patent transforms the one-dimensional linear search approach into a multi-dimensional hierarchical tree structure. By organizing data in an N-leg search tree where identifiers are processed across multiple dimensions (tree levels and branches), the system achieves faster lookup times. This dimensional transformation allows parallel processing of identifier segments and reduces the computational complexity from O(n) linear search to O(log n) tree traversal.
2Adaptability or versatility
If variable-length country codes are used to represent different countries, then the system can accommodate international diversity, but determining the country code becomes a time-consuming task
Solution Approach 1:
The patent applies preliminary action by pre-organizing country code data into an N-leg search tree structure during system initialization. Country codes and their corresponding routing information are预先 structured into the tree, with each node containing validated country code segments. When a phone number arrives, the system immediately traverses the pre-built tree using the identifier digits, eliminating the need for real-time country code determination logic and significantly accelerating routing decisions.
Data Source
AI summary
A method and apparatus for accessing data using an N-leg search tree including determining a tree identifier using a computer, traversing an N-leg search tree associated with the tree identifier, and accessing a data structure. The N-leg search tree is stored on a computer and traversed to a given node within the tree. The accessed data structure is associated with a deepest valid traversed node. The given node corresponds to a given element of a structured identifier.