Traffic Group Reassignment for Gateway Overload Balancing
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Solution Overview
Problem
Current methods for assigning machines to traffic groups in networks are costly, limited by gateway restrictions, prone to manual errors, and lack dynamic bandwidth management, leading to data message loss and inefficient load balancing.
Innovation Solution
A method for dynamically assigning machines to traffic groups based on gateway capacity and machine priority, using predictive modeling to identify high-priority machines and reassign them to non-overloaded gateways, thereby reducing load on overloaded gateways.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If additional traffic groups and gateways are deployed to alleviate overloaded gateways, then data message loss is reduced, but network cost increases
Solution Approach 1:
The patent implements dynamic machine assignment to traffic groups based on real-time gateway load conditions. The system continuously monitors gateway bandwidth usage and automatically reassigns machines from overloaded gateways to underloaded ones, replacing static gateway deployment with adaptive load balancing that responds to changing network conditions.
Solution Approach 2:
The system enables automatic self-management of gateway load through monitoring and reassignment mechanisms. The network infrastructure autonomously detects overloaded gateways and redistributes machine assignments without requiring manual intervention, allowing the system to self-optimize resource utilization and prevent data message loss.
2Reliability
If manual monitoring and reassignment of machines to traffic groups is performed, then gateway overload can be addressed, but operational complexity and error risk increase
Solution Approach 1:
The system implements automated monitoring of gateway load conditions and autonomous reassignment of machines to appropriate traffic groups. The monitoring component continuously tracks bandwidth usage, and the reassignment mechanism automatically adjusts machine assignments based on detected overload conditions, eliminating the need for manual network administration.
Solution Approach 2:
The patent establishes a feedback loop where gateway load conditions are continuously monitored and used to trigger automatic reassignment actions. The system receives feedback about bandwidth usage from gateways and responds by redistributing machine assignments to maintain balanced load distribution, creating a closed-loop control system.
3Adaptability or versatility
If machines are statically assigned to traffic groups, then network configuration is simple, but adaptability to changing bandwidth conditions is reduced
Solution Approach 1:
The patent transforms static machine-to-traffic-group assignments into dynamic assignments that automatically adjust to changing gateway load conditions. The system continuously evaluates bandwidth availability and reassigns machines in real-time, enabling the network to adapt to fluctuating traffic patterns and prevent gateway overload without requiring complex manual reconfiguration.
Data Source
AI summary
Some embodiments provide a novel method for associating machines of a first network with gateways that connect the machines to an external second network. The method assigns first and second sets of machines to first and second traffic groups that are associated with first and second gateways. Based on statistics regarding data message load on the first gateway, the method identifies a first machine to reassign from a first traffic group to the second traffic group. The method reassigns the first machine to the second traffic group to reduce data message load on the first gateway.