Bandwidth Management System Dynamic Allocation
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Solution Overview
Problem
Bandwidth on-demand services face challenges in maintaining service quality due to peak demand periods where multiple users reserve scarce bandwidth simultaneously, leading to service deterioration, and low demand periods result in business losses for service providers.
Innovation Solution
A bandwidth management system that calculates a reducible bandwidth by subtracting the permissible upper limit from total demanded bandwidth and statistical usage data, allowing for the reduction of guaranteed bandwidth to accommodate new reservations, even when bandwidth is filled, by assigning the reduction to reserved users based on statistical usage and prioritization methods.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If bandwidth is reserved for multiple users during peak demand periods, then service quality for existing users deteriorates, but if bandwidth is not reserved, then new reservations cannot be accepted
Solution Approach 1:
The patent implements dynamic bandwidth allocation by adjusting guaranteed bandwidth amounts based on statistical usage patterns and current demand conditions. The system calculates reducible bandwidth dynamically, allowing the bandwidth allocation to adapt to changing traffic conditions while maintaining service quality through statistically informed adjustments rather than static reservations.
Solution Approach 2:
The system changes the parameter of guaranteed bandwidth amounts based on statistical information about actual usage patterns. By analyzing historical data and determining reducible bandwidth, the system adjusts allocation parameters to optimize both service quality and resource utilization, allowing new reservations to be accepted without permanently compromising existing services.
2Quantity of substance
If guaranteed bandwidth is reduced to accommodate new reservations, then bandwidth availability increases, but service quality for existing users may deteriorate
Solution Approach 1:
The system performs preliminary calculations of reducible bandwidth based on statistical usage information before making allocation decisions. By pre-analyzing usage patterns and determining how much bandwidth can be safely reduced, the system prepares adjustment plans that minimize impact on service quality while maximizing bandwidth availability for new reservations.
Solution Approach 2:
The system uses statistical information about actual bandwidth usage as feedback to determine reducible amounts. This feedback mechanism ensures that bandwidth reductions are based on real usage data, allowing the system to adjust allocations in a way that maintains service quality while increasing overall availability.
3Productivity
If statistical information is collected and analyzed to determine reducible bandwidth, then bandwidth allocation efficiency improves, but system complexity increases
Solution Approach 1:
The system implements self-service bandwidth management by automatically collecting statistical information, analyzing usage patterns, and determining reducible bandwidth without requiring manual intervention. The system serves itself by making intelligent allocation decisions based on accumulated data, improving efficiency while keeping operational complexity manageable through automation.
Data Source
AI summary
A method includes: receiving a reservation, made by a user from a user terminal, regarding a bandwidth of a line; first determining whether or not a total bandwidth of a bandwidth demanded by the reservation in a time slot related to the received reservation and a guaranteed bandwidth to one or more reserved users exceeds a permissible upper limit value of the line; when the total bandwidth exceeds the permissible upper limit value, calculating a reducible bandwidth based on a bandwidth shortage produced by subtracting the permissible upper limit value from the total bandwidth and statistical information of a use bandwidth consumed by the one or more reserved users; second determining a reduction bandwidth reduced from the guaranteed bandwidth based on the calculated reducible bandwidth; and assigning, by a processor, the determined reduction bandwidth to the bandwidth demanded by the reservation.