Dynamic Server Load Balancing for Conference Room Distribution
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Solution Overview
Problem
Inefficient load distribution among servers in network distribution groups leads to suboptimal utilization, with some servers handling excessive loads while others remain underutilized, and the presence of backup servers results in wasted resources due to uneven distribution of conference room management requests.
Innovation Solution
A system and method that dynamically rebalance the number of rooms assigned to each server by calculating a threshold based on current server weights and unassigned rooms, ensuring even load distribution across servers by adjusting the number of rooms assigned when an activation signal is received.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If servers are assigned rooms statically without rebalancing, then device complexity is reduced, but server utilization becomes uneven and productivity decreases
Solution Approach 1:
The patent implements dynamic room assignment that automatically adjusts server loads based on current capacity and distribution group status. The system continuously monitors server performance metrics and rebalances room assignments in real-time, transforming the static assignment model into a dynamic one that adapts to changing conditions, thereby improving server utilization without requiring manual intervention.
Solution Approach 2:
The system incorporates feedback mechanisms by monitoring server load metrics, distribution group health status, and room assignment effectiveness. This feedback drives automatic rebalancing decisions, where the system evaluates current server performance and adjusts assignments accordingly, creating a closed-loop control system that continuously optimizes utilization while maintaining manageable complexity through automated decision-making.
2Reliability
If backup servers are maintained for each distribution group, then reliability is improved, but resource waste increases due to underutilization
Solution Approach 1:
The patent enables servers to serve multiple functions across different distribution groups. A server can be assigned to primary distribution groups while also serving as a backup or load-bearing server for other groups. This multi-functionality allows backup capacity to be shared across multiple distribution groups, reducing the total number of dedicated backup servers needed and thereby decreasing resource waste while maintaining reliability.
Solution Approach 2:
The system merges backup server functions across multiple distribution groups. Instead of maintaining separate backup servers for each distribution group, the patent combines backup capacity into a shared pool that can be dynamically allocated to any distribution group that needs support. This consolidation reduces redundant server resources while preserving the reliability benefit of having backup capacity available.
3Productivity
If load balancing is implemented manually, then adaptability is reduced, but ease of operation is improved
Solution Approach 1:
The patent implements self-service load balancing where the system automatically monitors its own performance metrics and executes rebalancing operations without human intervention. The system autonomously evaluates server loads, identifies imbalances, and redistributes room assignments to optimize utilization. This self-service capability maintains high load distribution efficiency while eliminating the operational complexity of manual rebalancing.
Solution Approach 2:
The system performs preliminary actions by continuously monitoring server performance metrics and pre-calculating optimal load distributions before actual rebalancing is needed. This proactive approach allows the system to be ready to execute rebalancing operations instantly when conditions change, maintaining high adaptability while simplifying operations by having decisions pre-prepared rather than requiring complex real-time manual analysis.
Data Source
AI summary
The invention relates to an architecture that facilitates assigning and load balancing of rooms assigned to at least one server. In an illustrative embodiment, the method comprises retrieving a current number of assigned rooms to each server, retrieving a current number of unassigned rooms, determining a current server weight for each of at least a subset of the at least one server within the at least two distribution groups, determining a total server weight, and calculating the number of rooms to load for at least a given one of the at least one server based at least in part on the number of unassigned rooms, total server weight, and current server weight of the given one of the at least one server.