Service Chain Interference Quantification Framework
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Network function virtualization (NFV) in 5G Core networks faces challenges in optimizing resource allocation, leading to uneven computational resource distribution among service chains, which can cause interference and degrade service quality due to the complexity of network configuration and resource uncertainty.
Innovation Solution
A framework using the Mutual Convexity method is implemented to quantify the impact of one service chain on another, allowing for informed decisions on resource allocation and fine-tuning to prevent performance degradation by generating a joint probability function based on co-occurring event data and modifying resources accordingly.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If service chains are deployed on virtualized network with flexible deployment, then network flexibility and agility are improved, but network configuration complexity increases and resource allocation becomes uncertain
Solution Approach 1:
The patent introduces a service chain interference quantification framework as an intermediary system that analyzes and measures interference between service chains. This framework includes event data collection from service chains, joint probability function generation, and cross-interference impact determination, acting as a mediator between the flexible deployment system and resource allocation decisions to reduce uncertainty and complexity.
2Productivity
If computational resources are allocated to service chains, then service functionality is improved, but uneven resource allocation causes interference between service chains leading to service quality degradation
Solution Approach 1:
The patent implements a feedback mechanism where event data from service chains is continuously collected and analyzed. The system generates joint probability functions based on co-occurring events and determines cross-interference impacts, then uses this feedback information to modify resource allocation and prevent service quality degradation, creating a closed-loop control system.
Solution Approach 2:
The patent performs preliminary analysis by generating joint probability functions and determining cross-interference impacts before service quality degradation occurs. By forecasting potential interference through event data analysis and probability modeling, the system takes preventive action to modify resource allocation in advance, avoiding service quality issues rather than reacting to them after they occur.
3Reliability
If more resources are allocated to prevent interference, then service quality is improved, but energy consumption increases
Solution Approach 1:
The patent dynamically changes resource allocation parameters based on quantified interference levels. Instead of allocating maximum resources to all service chains, the system adjusts resource parameters proportionally to the measured cross-interference impact, optimizing the balance between service quality and energy consumption through parameter optimization rather than uniform resource distribution.
Data Source
AI summary
A system, method, and computer program product for determining “impact quantify measure-based” service chains cross interferences. The method includes quantifying the impact of one service chain on another service chain and to what extent so as facilitate making an informed decision whether to garner more resources and to fine tune the computational services for the service chain. There is further provided beforehand a certainty of required computational resources and the providing the impact or interferences details of one service chain on another helps in minimization of service quality degradation failures. The framework further runs a method step to apply a mutual convexity method on service chains to aid in forecasting cross interferences between chains and includes a step wherein, interferences between both dependent and independent service chain is calculated and provided. The provided interferences calculated result set will ensure while provisioning of virtual network functions doesn't consume energy excessively.