Dynamic Network Capacity Planning for Bandwidth Allocation
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Solution Overview
Problem
In distributed network enterprise environments, uneven bandwidth utilization across branches leads to disruptions and performance issues due to inadequate network capacity management, resulting in potential downtime and financial losses.
Innovation Solution
A network capacity planning system that monitors and dynamically adjusts bandwidth resources by analyzing traffic volume, frequency, and timestamps to ensure each branch receives the necessary bandwidth, reallocating resources from branches with excess capacity to those needing more.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If bandwidth resources are allocated to each branch based on initial needs, then network capacity is provided to support operations, but uneven utilization occurs where some branches have excess bandwidth while others have insufficient bandwidth
Solution Approach 1:
The patent implements dynamic bandwidth allocation that automatically adjusts network capacity assignments based on real-time traffic monitoring and workload analysis. The system continuously evaluates actual bandwidth utilization at each branch and reallocates resources dynamically, transforming the static initial allocation into an adaptive system that responds to changing network conditions and prevents both excess and insufficient bandwidth scenarios
Solution Approach 2:
The system incorporates continuous feedback mechanisms through traffic monitoring that tracks bandwidth utilization metrics at each branch. This feedback loop provides real-time information about actual network usage patterns, enabling the allocation system to identify branches with excess or insufficient bandwidth and trigger automatic reallocation to maintain optimal network operation reliability
2Device complexity
If static bandwidth allocation is used to simplify resource management, then device complexity is reduced, but network performance deteriorates due to inability to respond to workload changes
Solution Approach 1:
The patent implements a self-service bandwidth management system where the network infrastructure automatically monitors its own utilization metrics and performs reallocation without external intervention. The system autonomously detects workload changes, analyzes traffic patterns, and adjusts bandwidth assignments across branches, eliminating the need for complex manual resource management while maintaining high data transmission efficiency through continuous optimization
3Reliability
If bandwidth is increased to all branches to ensure sufficient capacity, then network performance is maintained, but resource waste occurs in branches with excess unused bandwidth
Solution Approach 1:
The patent applies local quality optimization by tailoring bandwidth allocation to the specific needs of each individual branch based on its actual workload characteristics and traffic patterns. Rather than applying a uniform allocation strategy, the system customizes capacity assignments locally at each branch, ensuring that each location receives precisely the bandwidth it needs to maintain reliable network performance without contributing to overall resource waste
4Adaptability or versatility
If manual bandwidth adjustment is used to optimize allocation, then adaptability is improved, but operation complexity and response time increase
Solution Approach 1:
The system implements automated self-service bandwidth management that performs reallocation based on monitored traffic conditions without requiring manual intervention. The automated system continuously adapts to changing network demands by analyzing utilization metrics and adjusting allocations in real-time, providing the same adaptability benefits as manual adjustment but with significantly improved ease of operation and faster response times to workload changes
Data Source
AI summary
A network capacity planning system for forecasting and scheduling of network capacity for electronic devices is provided. A server monitors usage of a network associated with the electronic devices. The server analyzes a frequency of a transmission of data packets between the electronic devices and the network, and a time duration of a network busy time based on predetermined thresholds. The server uses results of the analysis to drive a dynamic mechanism, which identifies when a bandwidth associated with the network needs to be upgraded to support the growing network bandwidth requirements. The server adjusts a network capacity value of a network routing device associated with the network to support the required bandwidth for an operation of the electronic devices.


