Network Function Deployment Control Using Edge Performance Metrics
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Solution Overview
Problem
Existing edge computing technologies lack the flexibility to control network function deployment, leading to unsatisfactory performance and difficulty in managing wireless resources effectively.
Innovation Solution
A network deployment control apparatus and method that allows for flexible control of network function deployment by utilizing an edge computing management function (ECMF) to manage the positioning of user plane functions (UPF) based on performance metrics such as latency, cost, and throughput, enabling detailed customization of network configurations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of time
If edge computing technology is used to deploy network functions near equipment, then communication latency is reduced and wireless resources can be managed, but the service provider cannot flexibly control network function deployment
Solution Approach 1:
The patent implements dynamic control of network function deployment by allowing service providers to specify deployment preferences for UPF nodes. The ECMF dynamically selects appropriate UPF nodes based on real-time network state and provider preferences, enabling flexible adaptation while maintaining low latency through edge computing.
Solution Approach 2:
The patent changes the deployment parameters of network functions by introducing preference parameters that service providers can configure. The ECMF uses these parameters along with network state information to determine optimal UPF deployment locations, achieving both flexibility and performance optimization.
2Reliability
If conventional edge computing is used, then network functions are deployed near equipment, but it is difficult to achieve satisfactory performance
Solution Approach 1:
The ECMF performs self-service by automatically selecting and deploying UPF nodes based on provider preferences and network state. This automated approach simplifies the overall system complexity while ensuring satisfactory performance through intelligent decision-making algorithms.
Solution Approach 2:
The patent implements feedback mechanisms where the ECMF continuously monitors network state and adjusts UPF deployment decisions accordingly. This feedback loop ensures optimal performance while managing complexity through automated adaptive control.
Data Source
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AI summary
In edge computing that deploys a function regarding network user data near equipment, deployment of a network function is flexibly controlled. An acquisition unit acquires information regarding performance corresponding to a deployment position of a predetermined partial function of a network. A fixing unit fixes the deployment position of the predetermined partial function of the network on the basis of the information regarding the performance. A setting request unit issues a request of setting the predetermined partial function of the network for the deployment position fixed by the fixing unit to a network.