Dynamic Service Level Mapping for Network Resource Optimization
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Solution Overview
Problem
Current telecommunications networks face inefficiencies due to static configuration of service levels, which becomes suboptimal when traffic mixes change, leading to wasted resources and difficulty in adapting to dynamic traffic characteristics.
Innovation Solution
A system and method for dynamically updating the mapping of service level aggregate flows to partial resources based on real-time traffic characteristics and resource performance, minimizing wasted resources while maintaining service requirements, allowing for adaptive and efficient resource utilization.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If static configuration of service levels is used, then network resources are allocated in advance, but the mapping becomes suboptimal when traffic mixes change leading to wasted resources
Solution Approach 1:
The patent implements dynamic mapping of service levels to network resources by continuously monitoring traffic characteristics and adjusting the mapping in real-time. The control unit receives traffic characteristic information, compares it with current mapping, and updates the mapping when changes are detected, transforming the static configuration into a dynamic adaptive system that responds to changing traffic conditions.
Solution Approach 2:
The patent establishes a feedback mechanism where traffic characteristic information is continuously collected and fed back to the control unit. The control unit uses this feedback to evaluate whether the current mapping remains optimal and adjusts it accordingly. This closed-loop feedback system ensures the mapping adapts to changing traffic patterns while maintaining service requirements.
2Ease of operation
If static mapping of service levels to resources is maintained, then configuration simplicity is preserved, but adaptability to dynamic traffic characteristics is reduced
Solution Approach 1:
The system performs self-adjustment through automated detection and mapping updates. The control unit automatically monitors traffic characteristics, compares them with the current mapping, and updates the mapping without manual intervention. This self-service capability maintains operational simplicity while enabling dynamic adaptation to traffic changes.
Solution Approach 2:
The system is pre-configured with service levels and their associated requirements, but the actual mapping to network resources is dynamically determined based on current traffic conditions. The preliminary configuration provides the framework, while real-time traffic characteristic information determines the optimal mapping, combining simplicity with adaptability.
3Reliability
If per-flow QoS reservation is implemented, then service requirements are met, but scalability problems arise in core networks with millions of flows
Solution Approach 1:
The patent merges multiple flows with similar traffic characteristics into aggregate groups. Instead of managing each flow individually, the system aggregates flows and applies a unified mapping strategy to the aggregate level. This merging approach reduces the complexity at network elements while maintaining the ability to fulfill QoS requirements for individual flows within the aggregate.
Solution Approach 2:
The system changes the granularity of QoS management from per-flow to aggregate level by modifying the parameter used for classification and mapping. By using traffic characteristic parameters to group flows into aggregates, the system reduces the number of individual QoS mappings to manage while still achieving the desired service quality through aggregate-based resource allocation.
Data Source
AI summary
The present invention relates to a method and arrangements for updating the mapping of traffic in the form of a set of service level aggregate flows (SLS1, SLSM) to a set of partial resources (B1, BN) for forwarding the traffic in a communications network (21). Each service level aggregate flow corresponds to a service level associated with a set of service requirements. Information regarding traffic characteristics of each service level aggregate flow and performance of the set of network resources are obtained. Based on this information, the mapping of the set of service level aggregate flows to the set of network resources is updated to achieve a more efficient utilization of the set of network resources, while fulfilling the set of service requirements.