Adaptive Bandwidth Reservation for Network QoS
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Solution Overview
Problem
Existing Internet protocol services lack guaranteed Quality of Service (QoS) under highly overloaded conditions, leading to buffer overflows and queuing delays that degrade real-time communication quality, particularly in applications like video streaming and conferencing that require continuous bandwidth and low latency.
Innovation Solution
Implementing a bandwidth reservation mechanism using the Resource Reservation Protocol (RSVP) to establish and adjust end-to-end bandwidth reservations along a fixed flow path, with network devices modeling data flow behavior to accurately allocate and adjust bandwidth based on statistical models and sampling parameters.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If bandwidth reservation is increased to ensure QoS, then real-time communication quality is improved, but network resource utilization efficiency deteriorates due to over-reservation
Solution Approach 1:
The patent implements dynamic bandwidth reservation that automatically adjusts reservation levels based on real-time network conditions and historical traffic patterns. The system transitions from static over-reservation to adaptive reservation, maintaining QoS guarantees while optimizing resource utilization efficiency through continuous monitoring and adjustment of bandwidth allocation.
Solution Approach 2:
The system changes the bandwidth reservation parameter from a fixed value to a dynamically adjusted value based on statistical analysis of traffic flows. By monitoring traffic patterns and using historical data, the system optimizes reservation parameters to provide sufficient QoS protection without excessive resource allocation, thereby improving overall network efficiency.
2Productivity
If bandwidth reservation is decreased to improve resource utilization, then network efficiency is improved, but QoS guarantee deteriorates leading to buffer overflows and queuing delays
Solution Approach 1:
The system performs preliminary actions by pre-calculating appropriate bandwidth reservation levels based on historical traffic data and statistical models before actual traffic flows occur. This allows the network to proactively establish optimal reservation parameters that prevent buffer overflows and queuing delays while maximizing resource utilization, rather than reactively adjusting after problems occur.
Solution Approach 2:
The patent implements feedback mechanisms that continuously monitor network performance metrics including buffer status, queuing delays, and actual traffic patterns. This feedback is used to dynamically adjust bandwidth reservation levels, ensuring QoS guarantees are maintained while optimizing network efficiency through data-driven decision-making about resource allocation.
3Measurement precision
If statistical modeling is implemented to optimize bandwidth reservation, then resource allocation accuracy is improved, but system complexity increases
Solution Approach 1:
The system implements self-service statistical modeling where network devices automatically collect, analyze, and model their own traffic patterns without requiring external intervention. Each device maintains local statistical models of traffic flows and uses these to autonomously determine optimal bandwidth reservations, improving allocation accuracy while avoiding the complexity of centralized control systems.
Data Source
AI summary
Data flow through a network device is periodically sampled. Lower and upper bandwidth reservation limits are periodically updated from the sampled data flow. A current setting of the bandwidth reservation for the flow path associated with the data flow is compared against the range bounded by the lower and upper bandwidth reservation limits. When the current bandwidth reservation falls outside of the range, bandwidth reservation of the flow path is adjusted.