NFV Traffic Resource Allocation for Ultra-Low Latency Services
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing network function virtualization (NFV) technologies fail to dynamically adjust network resources based on traffic characteristics, particularly for ultra-low latency traffic, leading to unsatisfied performance requirements and user experience.
Innovation Solution
Implement a traffic resource management method that prioritizes resource allocation and deployment for ultra-low latency traffic near the user, employs resource preemption and over-configuration, and dynamically adjusts resources based on performance feedback to maintain latency requirements.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If NFV technology is used for network orchestration and management, then resource sharing and flexibility are improved, but differentiated management for different traffic requirements cannot be performed
Solution Approach 1:
The patent segments traffic into different types (e.g., ultra-low latency traffic, high priority traffic, best effort traffic) and creates separate management mechanisms for each type. This is achieved through traffic classification modules that identify different traffic types and apply specific resource allocation strategies to each, enabling differentiated management while maintaining overall NFV flexibility.
Solution Approach 2:
The patent applies local quality by implementing traffic-specific resource allocation policies where different parts of the network resource pool are allocated with different priorities and characteristics based on traffic type. Ultra-low latency traffic receives guaranteed resources with highest priority, while other traffic types receive resources according to their specific requirements, creating localized optimization within the overall system.
2Ease of manufacture
If static resource allocation is used in NFV deployment, then deployment simplicity is improved, but dynamic adjustment according to traffic performance changes cannot be performed
Solution Approach 1:
The patent implements dynamic resource allocation mechanisms that continuously monitor traffic performance metrics and automatically adjust resource allocation accordingly. The system transitions from static pre-configured resources to dynamic resources that can be reallocated in real-time based on actual traffic conditions, performance requirements, and network state, while maintaining manageable complexity through automated control loops.
Solution Approach 2:
The patent incorporates feedback mechanisms where traffic performance is continuously monitored and measured, and this information is fed back to the resource allocation module. The system uses this feedback to automatically adjust resource allocation decisions, creating a closed-loop control system that adapts to changing traffic conditions without requiring manual intervention, thus achieving dynamic adjustment with manageable operational complexity.
3Device complexity
If general resource allocation is applied to all traffic types, then resource management simplicity is improved, but ultra-low latency traffic performance requirements cannot be satisfied
Solution Approach 1:
The patent implements preliminary action by pre-allocating and reserving specific network resources for ultra-low latency traffic before actual traffic arrival. Resource reservation mechanisms ensure that dedicated bandwidth, computing resources, and network paths are prepared in advance for time-sensitive traffic, guaranteeing performance requirements without requiring complex real-time resource management during traffic flow.
Solution Approach 2:
The patent applies partial action by allocating resources selectively to specific traffic types rather than applying uniform allocation to all traffic. Ultra-low latency traffic receives preferential and excessive resource allocation compared to its actual needs, ensuring performance guarantees, while other traffic types receive resources based on their requirements, simplifying the overall management by treating different traffic types differently rather than using complex unified management.
Data Source
Figure 1
Figure 2
Figure 3~4
AI summary
Provided are a traffic resource management method and apparatus, a network device, and a readable storage medium. The method includes: determining a type of traffic to which a network service (NS) or a virtualized network function (VNF) to be managed is applied; and in response to the type of traffic to which the NS or the VNF is applied being low latency traffic, providing a corresponding management service for the NS or the VNF according to a low latency traffic resource management strategy.