Hash Table Packing Mechanism for Collision Mitigation
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current hash functions experience data entry collisions leading to inefficiencies in data lookup and retrieval due to under-utilization of hash tables, particularly when multiple data entries share the same hash value, resulting in excessive collisions and inefficient data management.
Innovation Solution
Implement a system with dual lookup tables and hash tables that dynamically assign locations within the hash table based on data entries, allowing for consecutive or adjacent placement of entries and updating lookup tables to manage hash value assignments efficiently.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If data entries are hashed using a hash function, then data can be stored and retrieved efficiently, but collisions occur when multiple data entries produce the same hash value, leading to under-utilization of the hash table and inefficient data lookup
Solution Approach 1:
The patent divides the hash table into multiple slots or buckets, where each hash value can map to a specific slot. When collisions occur, the system segments the handling by distributing colliding entries across different slots or using sub-hashing, thereby reducing collision impact and improving lookup efficiency while maintaining high hash table utilization
Solution Approach 2:
The patent introduces an additional dimension by using a secondary hash function or sub-hashing mechanism when collisions occur. Instead of handling collisions in the same dimension (same slot), the system transitions to another dimension (different slot or expanded hash space), effectively resolving collisions and maintaining lookup efficiency
2Reliability
If collision accommodation mechanisms are implemented, then collisions can be handled, but data lookup and retrieval become inefficient due to increased complexity and additional operations required
Solution Approach 1:
The patent performs preliminary actions by pre-computing and storing hash values, and in some implementations, pre-allocating slots or using power-of-two sized hash tables with bitwise operations for O(1) indexing. This preliminary preparation ensures that collision handling and lookup operations can proceed efficiently without additional computational overhead during data retrieval
Solution Approach 2:
The patent uses copying techniques by maintaining duplicate structures or using copy-on-write mechanisms where collision resolution data can be copied to alternative locations. This allows the primary hash table structure to remain intact and efficiently accessible, while collision handling operates on copied or duplicate data structures, minimizing lookup time
Data Source
AI summary
The technology generally relates to systems and methods for generating and maintaining hashed data. Data entries may be applied to a hash function so as to produce a hash value for each data entry, and data entries may have duplicative hash values to other data entries. Lookup tables may be configured to dynamically assign locations within a hash table to particular hash values based on data entries that are received. In addition, the data entries may be added to one or more hash tables so that the data entries are packed efficiently.