Content-Based QoS Prioritization for Tactical Data Networks
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Solution Overview
Problem
Tactical data networks face challenges with bandwidth constraints, high latency, and data loss, and existing Quality of Service (QoS) solutions are inadequate in providing content-based prioritization and managing bandwidth efficiently, especially in volatile and bandwidth-limited environments.
Innovation Solution
A system and method for prioritizing inbound network data based on message content, using a data prioritization component to assign priority and a data communications component to manage data transmission, optimizing bandwidth use through rule-based sequencing and differentiation, and providing content-based QoS on the edge of the network.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If existing QoS solutions are used in tactical data networks, then bandwidth management is provided, but content-based prioritization is inadequate
Solution Approach 1:
The patent segments data traffic into different priority queues based on content analysis. The data prioritization component divides incoming data packets into multiple queues (high priority, medium priority, low priority) based on content characteristics, allowing differential handling of different data types while maintaining overall QoS reliability
Solution Approach 2:
The patent introduces a data prioritization component as an intermediary between the network interface and application layers. This intermediary component analyzes data content, assigns priority levels, and manages queue sequencing, thereby enabling content-based prioritization without compromising the reliability of existing QoS mechanisms
2Productivity
If bandwidth-constrained environments are operated without prioritization, then network simplicity is maintained, but data flow efficiency deteriorates
Solution Approach 1:
The patent applies preliminary action by prioritizing and queuing data packets before transmission based on content analysis. The data prioritization component pre-processes incoming data, assigns priority levels, and organizes packets in queues before they enter the transmission pipeline, improving data flow efficiency without adding complex real-time processing during transmission
Solution Approach 2:
The patent implements dynamic priority assignment where the prioritization scheme adapts to different data types and network conditions. The system dynamically adjusts queue sequencing based on content characteristics, allowing flexible optimization of data flow efficiency while keeping the processing mechanism adaptable rather than statically complex
3Loss of time
If critical data is prioritized in bandwidth-constrained environments, then latency for critical data is reduced, but overall network complexity increases
Solution Approach 1:
The patent applies local quality by providing differentiated latency treatment only to specific data packets that require prioritization. The data prioritization component identifies critical data through content analysis and assigns it to high-priority queues with reduced latency handling, while non-critical data follows standard processing, thereby reducing latency for critical data without making the entire system complex
Solution Approach 2:
The patent enables self-service prioritization where the data prioritization component automatically analyzes content, assigns priority levels, and manages queue sequencing without external intervention. This automated self-service mechanism reduces critical data latency through intelligent prioritization while keeping the system architecture relatively simple by eliminating the need for manual configuration or complex external control
Data Source
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AI summary
This invention is directed to receiving data (510) at a network node followed by prioritizing data (520) then the prioritized data is communicating (520) to an application per Fig 5.