Dynamic Network Bandwidth Configuration via Edge Traffic Analysis

Resolve Bottlenecks,
Find Innovative SolutionsGenerate Solutions

Solution Overview

Problem

Current network bandwidth provisioning often results in over-provisioning due to peak demand occurring infrequently, leading to excess costs for customers, especially in large data center applications, and traditional network edge appliances lack flexibility.

Innovation Solution

Implementing a computer-implemented method for real-time traffic analysis and dynamic configuration of elastic network bandwidth allocation and traffic optimizations in edge appliances connected to an elastic cloud computing network, allowing for optimized bandwidth use and cost minimization by adjusting bandwidth levels and applying optimizations like TCP and data compression based on traffic conditions and user policies.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If bandwidth is provisioned to meet projected peak data demand, then reliability of meeting peak demand is improved, but cost increases due to over-provisioning for unused bandwidth

Engineering Contradiction:

Improvereliability of meeting peak demandVSAvoidcost of unused bandwidth

Core Design Contradiction:

ReliabilityVSLoss of energy

Solution Approach 1:

The patent applies dynamics by enabling real-time adjustment of bandwidth allocation based on actual traffic conditions. The system dynamically provisions bandwidth during peak periods and reduces allocation during low-utilization periods, transitioning from static to dynamic bandwidth management to eliminate over-provisioning while maintaining peak demand reliability

Inventive Principle:

Principle #15Dynamics

Solution Approach 2:

The system implements feedback mechanisms by continuously monitoring network traffic patterns and utilization metrics, then using this information to adjust bandwidth allocation. The real-time traffic analysis feeds back to bandwidth provisioning decisions, creating a closed-loop system that optimizes cost while ensuring peak demand is met

Inventive Principle:

Principle #23Feedback

2Loss of energy

If less bandwidth is provisioned to lower costs, then cost decreases, but reliability worsens due to overcharges when peak demand exceeds provisioned bandwidth

Engineering Contradiction:

Improvebandwidth costVSAvoidreliability of meeting peak demand

Core Design Contradiction:

Loss of energyVSReliability

Solution Approach 1:

The system performs preliminary action by analyzing historical traffic patterns and predicting future peak demand periods. This allows the system to proactively provision bandwidth before peak periods occur, avoiding overcharges while maintaining cost efficiency during non-peak periods

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The system uses dynamic bandwidth provisioning that adjusts allocation in real-time based on actual traffic conditions, allowing it to scale up before peak periods and scale down afterward, thus avoiding both over-provisioning costs and peak demand overcharges

Inventive Principle:

Principle #15Dynamics

3Device complexity

If traditional static network edge appliances are used, then device complexity is reduced, but adaptability worsens due to fixed functionality

Engineering Contradiction:

Improvesimplicity of edge applianceVSAvoidflexibility of edge appliance

Core Design Contradiction:

Device complexityVSAdaptability or versatility

Solution Approach 1:

The patent applies universality by designing edge appliances that can perform multiple functions: traditional routing, real-time traffic analysis, dynamic bandwidth provisioning, and application of network optimizations. This multi-functional approach provides adaptability while maintaining relative simplicity through integrated design

Inventive Principle:

Principle #6Universality (Multi-functionality)

4Productivity

If real-time traffic analysis and dynamic configuration are implemented, then productivity is improved through optimized bandwidth use, but device complexity increases

Engineering Contradiction:

Improvedata transfer efficiencyVSAvoidcomplexity of edge appliance

Core Design Contradiction:

ProductivityVSDevice complexity

Solution Approach 1:

The system applies self-service by implementing automated traffic analysis and dynamic configuration that operates without manual intervention. The edge appliance autonomously monitors traffic patterns, analyzes application data, evaluates optimization effects, and adjusts bandwidth allocation automatically, improving productivity while managing complexity through automation

Inventive Principle:

Principle #25Self-service

Data Source

PatentUS10581680B2Dynamic configuration of network features

Publication Date: 2020.03.03 KYNDRYL INC

AI summary

Dynamic configuration of network features is provided by performing real-time traffic analysis on network traffic flowing between an elastic cloud computing network and an edge appliance, evaluating effects of modifying elastic network bandwidth allocation and applying network traffic optimizations in routing traffic flowing between the elastic cloud computing network and the edge appliance, and dynamically configuring, based on the real-time traffic analysis and on the evaluating, one or more of (i) elastic network bandwidth allocation from the network service provider or (ii) at least one of the network traffic optimizations for performance by the edge appliance in routing traffic flowing between the elastic cloud computing network and the edge appliance.