Linked List Profiling for Network Multicast Filtering
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Solution Overview
Problem
Existing linked list management systems lack efficiency in updating and filtering subsets of resources, particularly in network environments, leading to inefficiencies in data routing and multicast message transmission.
Innovation Solution
A system and method for profiling linked lists that utilize state bits to define active and inactive entries, allowing for efficient addition and removal of entries while maintaining data structure continuity, enabling flexible subset definition and multicast message transmission.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If different linked lists are created for various subsets of resources, then resource filtering capability is improved, but system complexity and memory usage increase
Solution Approach 1:
The patent segments the linked list into multiple profiles, where each profile represents a different subset of resources. Instead of creating separate linked lists for each subset, the system divides a single linked list into N profiles, allowing efficient resource filtering while maintaining a unified data structure. This reduces complexity compared to maintaining multiple independent linked lists.
Solution Approach 2:
The patent creates a universal linked list structure that serves multiple functions simultaneously. A single linked list can be interpreted in N different ways through its N profiles, each profile enabling different resource filtering capabilities. This multi-functional approach eliminates the need for separate dedicated linked lists for each resource subset.
2Measurement precision
If multiple separate linked lists are maintained for different resource subsets, then filtering precision is improved, but memory consumption increases
Solution Approach 1:
The patent merges N separate linked lists into a single unified linked list with N profiles. Each profile contains pointers to relevant nodes in the linked list, allowing precise filtering for different resource subsets. This consolidation reduces memory overhead by eliminating redundant node structures while maintaining the ability to precisely filter resources through profile selection.
3Adaptability or versatility
If conventional linked list updates are performed by adding or removing nodes, then data structure flexibility is improved, but operational delays increase
Solution Approach 1:
The patent performs preliminary actions by pre-configuring N profiles with pointers to linked list nodes during system initialization or idle periods. When resource subsets need to be updated, the system simply modifies existing profile pointers rather than performing complex node insertion or deletion operations. This preliminary setup reduces operational delays during runtime updates.
Solution Approach 2:
The patent uses profile structures that copy the essential referencing information (pointers to nodes) without duplicating the actual node data. Each profile contains a simplified representation of the linked list subset it represents, allowing rapid updates by modifying profile pointers rather than restructuring the actual linked list nodes. This copying approach maintains flexibility while reducing update time.
Data Source
AI summary
Linked list profiling and updating techniques define subsets of linked list entries that are executed upon various resource calls. The subsets are defined by linked list profiles. The techniques can add/remove linked list entries to/from these profiles in a flexible update manner, in which a profile table is used to store profiles, or in atomic manner, in which each linked list entry itself contains profile data. Implemented in a communication system network device, the techniques are used to define and update profiles of physical or virtual ports used for packet-based egress and ingress communications.