Processing Information Hierarchy Consolidation for Network Devices
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Solution Overview
Problem
Network devices face inefficiencies due to duplications and redundancies in processing information hierarchies, which consume excessive resources and hinder optimal network traffic management.
Innovation Solution
A method and system for reorganizing processing information hierarchies by identifying and removing duplications and redundancies, consolidating objects, and programming the reorganized hierarchy into hardware components, thereby reducing resource utilization.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If processing information hierarchy is maintained with duplications and redundancies, then network traffic management functionality is preserved, but resource utilization increases excessively
Solution Approach 1:
The patent merges duplicate processing information hierarchy objects into single consolidated objects. The system identifies duplicate objects with the same processing characteristics and consolidates them, reducing the total number of objects while maintaining the same network traffic management functionality. This directly addresses the contradiction by eliminating redundant resources while preserving operational reliability.
Solution Approach 2:
The patent discards redundant duplicate objects after identifying them through comparison of processing characteristics. By removing these unnecessary duplicates and retaining only the essential unique objects, the system recovers wasted resources while maintaining full functional capability for network traffic management.
2Use of energy by moving object
If processing information hierarchy is reorganized to remove duplications, then resource utilization decreases, but processing complexity increases
Solution Approach 1:
The patent performs preliminary identification and classification of duplicate objects before actual consolidation. By pre-analyzing processing characteristics and grouping duplicates in advance, the system simplifies the subsequent reorganization process, reducing the complexity burden that would otherwise arise from ad-hoc reorganization.
Solution Approach 2:
The patent creates simplified representations or pointers to consolidated duplicate objects rather than maintaining full copies. This copying approach reduces memory requirements and simplifies processing by allowing multiple references to share a single underlying object, thereby reducing processing complexity while maintaining resource efficiency.
3Quantity of substance
If duplicate processing information objects are consolidated, then hardware resource requirements decrease, but programming complexity increases
Solution Approach 1:
The patent segments the duplicate identification and consolidation process into distinct manageable stages: identification of duplicates, verification of equivalence, consolidation execution, and programming generation. This segmentation makes the complex programming task more manageable by breaking it into smaller, standardized operations that can be implemented systematically.
Solution Approach 2:
The patent changes the parameter representation from individual duplicate objects to consolidated object references. By transforming the data structure parameters and using reference-based indexing, the system reduces hardware resource requirements while the standardized parameter transformation rules keep programming complexity manageable through systematic rather than arbitrary changes.
Data Source
AI summary
In general, embodiments described herein relate to methods and systems for reorganizing processing information hierarchies to remove duplicative and/or redundant portions of a processing information hierarchy such that they, for example, require fewer resources of the network devices on which they are stored.


