Service Interconnection Apparatus for Real-Time Performance Routing
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Solution Overview
Problem
Current interconnection models between disparate networks lack mechanisms to ensure real-time performance requirements for service delivery, leading to inconsistent and unsatisfactory user experiences due to vague 'best efforts' contractual clauses, which hinder the growth of revenue-generating multimedia services.
Innovation Solution
A system that classifies services based on real-time performance requirements, dynamically allocates network resources, and intelligently routes services according to these categories, ensuring that real-time services are delivered with greater guarantees and non-real-time services use fewer resources.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If best efforts contractual clauses are used for interconnection, then network operators can flexibly manage their resources, but real-time performance requirements cannot be guaranteed
Solution Approach 1:
The patent changes the parameter of service classification from generic best-effort to specific real-time performance categories. By introducing QoS parameters and service level agreements that define explicit performance metrics, the system transforms flexible resource management into controlled resource allocation that can guarantee real-time performance while maintaining operational flexibility through parameterized service definitions.
Solution Approach 2:
The patent implements dynamic resource allocation mechanisms that adjust network resource distribution based on real-time performance requirements. The system dynamically classifies services into different performance categories and allocates resources accordingly, allowing network operators to adapt resource management to specific service needs while maintaining the ability to guarantee real-time performance for classified services.
2Device complexity
If network resources are allocated based on available resources without classification, then device complexity is reduced, but service delivery consistency deteriorates
Solution Approach 1:
The patent segments services into distinct real-time performance categories (e.g., conversational, streaming, interactive, background). This segmentation allows the network to treat different service types differently, allocating resources based on their specific performance requirements. The classification mechanism divides the monolithic best-effort model into manageable segments with defined characteristics, improving service delivery consistency without requiring complex individual handling of each service.
Solution Approach 2:
The patent introduces service classification parameters that define real-time performance requirements. By changing the parameter structure from unclassified to classified services with specific QoS parameters, the system achieves consistent service delivery through parameter-based resource allocation while maintaining manageable complexity through standardized parameter definitions and classification rules.
3Reliability
If real-time services are prioritized with greater network resources, then service delivery reliability is improved, but network resource consumption increases
Solution Approach 1:
The patent applies local quality by allocating network resources differently based on the specific real-time performance requirements of each service category. Instead of uniformly allocating resources to all services or prioritizing all real-time services equally, the system applies targeted resource allocation to specific service types that require real-time performance. This localized resource allocation improves service delivery reliability for prioritized services while avoiding unnecessary resource consumption for services that do not require real-time performance.
4Manufacturing precision
If service classification based on real-time requirements is implemented, then service delivery precision is improved, but system complexity increases
Solution Approach 1:
The patent improves service classification accuracy by segmenting services into distinct real-time performance categories with clear definitions and characteristics. This segmentation enables precise classification by matching services to appropriate categories based on their performance requirements. The segmented classification structure improves precision by providing clear boundaries and criteria for each category, making it easier to accurately classify services without requiring overly complex classification logic.
Data Source
AI summary
A system for interconnecting network operators with each other based on class of service is provided, taking real-time performance requirement(s) for each service into consideration. As a result, services can be sent or received in real time, with greater guarantee of network resources. In one non-limiting embodiment, the delivery path for service traffic is based on the real-time performance requirement categories assigned to each service during a pre-processing step. Thus, services having the highest real-time performance demands can be delivered faster using greater network resources, whereas the services without any real-time performance requirements are processed/delivered using fewer network resources.