Network Service Identification for Real-Time QoS Prioritization
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Solution Overview
Problem
Existing systems lack the ability to intelligently identify and categorize computing services in use within multiple computing networks, leading to inefficiencies in service provisioning and quality of service/experience for users.
Innovation Solution
A system comprising a backend server and network devices with agents that analyze network traffic, compare it to a service identification list, and provide intelligent identification of service types and categories, updating the list with new services and parameters as needed, using algorithms and machine learning models to optimize service provisioning.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If traditional network traffic management is used without intelligent identification, then system complexity is reduced, but service provisioning efficiency and quality of service deteriorate
Solution Approach 1:
The patent introduces an intermediary service identification system that acts as a mediator between network traffic and service provisioning mechanisms. This intermediary layer analyzes network traffic, identifies services and categories, and provides this information to service provisioning systems, thereby improving service efficiency without requiring fundamental changes to existing network infrastructure complexity
Solution Approach 2:
The system implements feedback mechanisms where service identification results are continuously fed back to service provisioning and quality of service management systems. This feedback loop enables dynamic adjustment of service parameters based on actual service usage, improving provisioning efficiency while maintaining manageable system complexity through automated control
2Measurement precision
If generic service categorization is used, then system complexity is minimized, but measurement precision and quality of experience deteriorate
Solution Approach 1:
The patent segments service categorization into multiple hierarchical levels (e.g., broad categories like streaming, gaming, and sub-categories like video streaming, online gaming). This segmentation enables precise service identification by breaking down complex categorization tasks into manageable segments, improving measurement precision while keeping each segment's complexity manageable
Solution Approach 2:
The system applies different levels of categorization precision to different services based on local requirements. Critical services receive more granular identification and analysis, while less critical services use broader categorization, thereby achieving high overall measurement precision without uniformly increasing system complexity across all services
3Reliability
If real-time service identification is implemented, then quality of service improves, but use of energy and processing resources increases
Solution Approach 1:
The system applies partial action by focusing service identification efforts on only the necessary portions of network traffic that require quality of service management. Rather than analyzing all traffic uniformly, it selectively applies deep analysis to services where quality of service is critical, thereby maintaining high service reliability while reducing overall processing energy consumption
Solution Approach 2:
The patent merges service identification functions with existing network management and service provisioning systems. By combining these functions into integrated platforms rather than separate systems, the solution achieves real-time identification capability while sharing processing resources and infrastructure, thereby improving quality of service without proportionally increasing energy consumption
4Adaptability or versatility
If comprehensive service monitoring is deployed across multiple networks, then adaptability improves, but device complexity and data processing requirements worsen
Solution Approach 1:
The patent designs the service identification system with universal capabilities that can operate across multiple different network types and environments. The system uses standardized service categorization frameworks and identification mechanisms that are applicable across diverse networks, thereby achieving high multi-network adaptability without requiring separate complex monitoring systems for each network
Solution Approach 2:
The system uses copying mechanisms where service identification patterns and categorization rules discovered in one network are replicated and applied to other networks. This allows comprehensive multi-network monitoring by copying proven identification approaches rather than developing entirely new systems for each network, reducing overall device complexity while maintaining adaptability
Data Source
AI summary
A system and accompanying methods for providing intelligent identification of computing services and categories of services in use within a plurality of computing networks. The system analyzes network traffic associated with services requested by computing devices interacting with a network device, such as a network device of an internet service provider. The system compares the network traffic to information from a service identification list to determine a type of the service and/or a category of the service. The system provides an identification of the services and/or categories of the service to a service provider associated with the network device. Services tailored for the service and/or category of service can be provided to the computing devices, such as via the network device associated with the service provider.