VNF Instantiation via QoS-Based Edge Cloud Location Mapping
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Solution Overview
Problem
Conventional cloud computing technologies cannot meet the requirements of 'massive connection, low latency, and high bandwidth' for edge applications, necessitating a new approach to determine the deployment location of virtual network functions (VNFs) on edge clouds that aligns with Quality of Service (QoS) attributes.
Innovation Solution
A method for dynamically matching VNFs with suitable virtual resource locations on edge clouds based on QoS attributes, such as network latency, throughput, and packet loss rate, by establishing a mapping relationship between QoS attributes and virtual resource locations, allowing for optimal deployment of VNF instances that meet specific performance requirements.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If conventional cloud computing technologies are used for deploying VNF instances, then deployment flexibility is improved, but QoS requirements (low latency, high bandwidth) for edge applications cannot be met
Solution Approach 1:
The patent applies local quality by establishing QoS-specific location areas within the edge cloud infrastructure. Different virtual resource location areas are created based on specific QoS attributes (low latency, high bandwidth, etc.), allowing VNF instances to be deployed in locations that locally satisfy specific QoS requirements rather than using a uniform deployment approach throughout the entire edge cloud.
2Reliability
If affinity/anti-affinity rules are used for VNF deployment, then service reliability is improved, but applicability to edge cloud scenarios is reduced
Solution Approach 1:
The patent applies dynamics by transitioning from static affinity/anti-affinity rules to dynamic QoS-based location matching. The system dynamically determines deployment locations by matching VNF QoS requirements with the characteristics of available virtual resource location areas, allowing the deployment strategy to adapt flexibly to different edge cloud scenarios and QoS requirements rather than following fixed deployment rules.
3Ease of operation
If VNF instances are deployed without considering QoS attributes, then deployment simplicity is maintained, but user experience is degraded
Solution Approach 1:
The patent applies self-service by enabling the system to automatically match VNF QoS requirements with suitable location areas without requiring manual intervention. The QoS-based location determination is performed automatically by the deployment system, which queries location area information, matches it with VNF requirements, and selects appropriate deployment locations autonomously, maintaining operational simplicity while ensuring QoS fulfillment.
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AI summary
Embodiments of this application provide a VNF instantiation method, an NFVO, a VIM, a VNFM, and a system. When a VNF instance for implementing a function of a multi-access edge application is deployed on an edge cloud by using an NFV-MANO system structure framework, a location of the "VNF instance for implementing the application" is no longer determined according to an affinity/anti-affinity rule. Instead, a mapping relationship between a different virtual resource location area on the edge cloud and a QoS attribute is established, so that a virtual resource location area that meets a QoS attribute of a VNF can be dynamically matched for the VNF based on the QoS attribute of the VNF. In this way, after the VNF instance is deployed at a target virtual resource location in the virtual resource location area, a QoS requirement of the VNF instance can be met, to ensure user experience when a user accesses the VNF instance.