Dynamic Load Balancing for Communication Node Clusters
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Solution Overview
Problem
Existing electronic communication systems face inefficiencies in load balancing across network nodes in clusters, leading to poor resource allocation and quality of service as the number of devices and communication volume increase, with devices typically remaining registered to a node until failure or configuration changes.
Innovation Solution
The system periodically redistributes communication devices across nodes based on real-time communication information, such as signal strength and quality, using processors and memory to determine optimal node registration and redistribute devices if quality thresholds are not met, incorporating call statistics and usage data to dynamically manage traffic.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If communication devices are registered to nodes using static load balancing techniques, then the system structure is simple and easy to operate, but resource allocation efficiency deteriorates as the number of devices and communication volume increase
Solution Approach 1:
The patent implements dynamic load balancing by continuously monitoring communication quality metrics (signal strength, packet loss, jitter) and automatically redistributing communication devices to optimal nodes based on real-time conditions. This transforms the static registration system into a dynamic one that adapts to changing network conditions, thereby improving resource allocation efficiency without significantly increasing operational complexity.
Solution Approach 2:
The system employs feedback mechanisms by continuously collecting communication quality data from devices and nodes, analyzing this information, and using it to make intelligent redistribution decisions. The feedback loop enables the system to automatically adjust device-node assignments based on actual performance metrics, resolving the contradiction between simple operation and efficient resource allocation.
2Reliability
If devices remain registered to a node until failure or configuration changes, then the system is stable and reliable, but service quality deteriorates when node capacity is exceeded
Solution Approach 1:
The patent implements periodic reassessment of device-node assignments by continuously monitoring communication quality metrics at regular intervals. Instead of maintaining static registrations until failure, the system periodically evaluates whether current assignments remain optimal and redistributes devices when quality thresholds are not met, thereby maintaining both stability and service quality.
Solution Approach 2:
The system enables self-service by allowing communication devices to be automatically redistributed based on monitored performance metrics without requiring manual intervention. The load balancing mechanism autonomously detects when service quality deteriorates and reallocates devices to appropriate nodes, maintaining reliability while preventing capacity-related quality degradation.
3Ease of manufacture
If manual weighting is used to distribute traffic across nodes, then the system is easy to configure, but adaptability deteriorates when network conditions change
Solution Approach 1:
The patent replaces manual weighting with an automated feedback-driven system that continuously monitors communication quality metrics (signal strength, packet loss, jitter) and dynamically adjusts device assignments. This eliminates the need for manual configuration while providing real-time adaptability to changing network conditions, resolving the contradiction between configuration simplicity and adaptability.
Solution Approach 2:
The system substitutes the mechanical manual weighting configuration with an automated electronic control mechanism that uses software-based load balancing algorithms. This replacement maintains configuration simplicity through automated processes while dramatically improving adaptability to dynamic network conditions through continuous monitoring and adjustment.
Data Source
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AI summary
A method and system for distributing communication devices across a cluster of network nodes are disclosed. The method and system can use call statistics information to determine which node within the cluster to use to register one or more communication devices. The system and method can additionally periodically review such information and register the communication devices to other nodes based on the information.