PIE Controller Latency Control Bufferbloat
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Solution Overview
Problem
Bufferbloat occurs due to excess buffering in networks, causing high latency, jitter, and compromised network throughput, especially with increasing Internet traffic.
Innovation Solution
Implementing a proportional integral controller enhanced (PIE) system that estimates queuing latency and calculates a drop or mark probability to control congestion by dynamically managing packet queuing, thereby maintaining stability across varying traffic scenarios.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If buffer sizes are increased to handle growing Internet traffic, then the volume of packets that may be stored increases, but latency and jitter increase causing bufferbloat
Solution Approach 1:
The patent applies dynamics by making the buffer size dynamic rather than static. The buffer adapts its size based on current network conditions, traffic patterns, and congestion levels. This allows the system to increase buffer capacity when needed while automatically reducing it to prevent bufferbloat, resolving the contradiction between storing more packets and maintaining low latency.
Solution Approach 2:
The patent implements feedback mechanisms that continuously monitor network performance metrics including latency, packet loss, and congestion levels. This feedback information is used to dynamically adjust buffer sizes and packet dropping strategies, ensuring that buffers are optimized for current conditions rather than operating at fixed sizes that cause bufferbloat.
2Quantity of substance
If buffer sizes are increased to handle growing Internet traffic, then the volume of packets that may be stored increases, but network throughput is compromised
Solution Approach 1:
The system dynamically adjusts buffer utilization based on real-time network conditions. When congestion is detected or latency increases, the buffer size is reduced or packets are selectively dropped, preventing the buffer from becoming a bottleneck that reduces overall network throughput while still providing buffering capacity when conditions are favorable.
Solution Approach 2:
The patent applies preliminary anti-action by proactively managing buffer contents before bufferbloat can occur. Through mechanisms like packet marking, selective dropping, and anticipatory buffer size adjustment, the system prevents the harmful effects of excessive buffering before they degrade network throughput, rather than reacting after performance has already declined.
3Reliability
If excess buffering is implemented, then packet loss is reduced, but jitter increases
Solution Approach 1:
The patent applies local quality by treating different packets or different portions of the buffer differently rather than applying uniform buffering. Priority packets or time-sensitive traffic may receive preferential treatment with smaller effective buffer delays, while less critical traffic can utilize larger buffer capacity. This selective approach reduces packet loss for important traffic without introducing excessive jitter.
Solution Approach 2:
The system dynamically adjusts buffering behavior based on packet characteristics, traffic flow conditions, and current network state. Buffer allocation and packet handling strategies change in real-time to balance between reducing packet loss and minimizing jitter, rather than using fixed buffering rules that cannot adapt to varying traffic requirements.
Data Source
AI summary
In one embodiment, a method includes estimating a current queuing latency, the estimated current queuing latency being associated with a queue of packets maintained in a buffer. The method also includes calculating a current drop or mark probability, the current drop or mark probability being associated with a probability that packets associated with the queue of packets will be dropped or marked. A rate at which the packets associated with the queue of packets are dequeued from the buffer is estimated in order to estimate the current queuing latency. The current drop or mark probability is calculated using the current estimated queuing latency.