Dynamic Traffic Rate Limiting for Network Policing
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Solution Overview
Problem
Network devices struggle to dynamically adjust traffic rate limits for policing traffic, leading to either excessive or insufficient traffic handling, which can result in legitimate traffic being dropped or illegitimate traffic being allowed, compromising network integrity and requiring administrative intervention.
Innovation Solution
A network device that dynamically updates traffic rate limits based on real-time networking data associated with specific traffic protocol types, using programmable information and machine learning models to determine expected traffic rates and adjust policing thresholds accordingly.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If static traffic rate limits are configured, then network security is maintained, but legitimate traffic may be dropped or illegitimate traffic may be allowed
Solution Approach 1:
The patent implements dynamic traffic rate limiting by continuously monitoring networking data and automatically adjusting rate limits in real-time based on observed traffic patterns, replacing static configuration with adaptive control that responds to changing network conditions
Solution Approach 2:
The system establishes a feedback loop where networking data is continuously collected, analyzed to determine expected traffic rates, and used to adjust rate limits accordingly, creating a closed-loop control system that adapts to actual traffic behavior
2Object-affected harmful factors
If traffic rate limits are set too low, then illegitimate traffic is blocked, but legitimate traffic is also dropped
Solution Approach 1:
The system performs self-service by automatically learning expected traffic rates from networking data and adjusting rate limits without administrative intervention, enabling the network device to autonomously distinguish between legitimate and illegitimate traffic patterns
Solution Approach 2:
The patent dynamically changes the rate limit parameter based on determined expected traffic rates, adjusting this critical control parameter in real-time to optimize both security and throughput based on actual network conditions
3Productivity
If traffic rate limits are set too high, then legitimate traffic is allowed, but illegitimate traffic overflow occurs
Solution Approach 1:
The system dynamically adjusts rate limits upward or downward based on real-time analysis of networking data, preventing both overly restrictive blocking and overly permissive overflow by adapting to actual traffic demands
4Measurement precision
If administrative intervention is used to adjust rate limits, then traffic control is precise, but frequent manual updates are required
Solution Approach 1:
The network device autonomously performs rate limit adjustments by automatically analyzing networking data and determining expected traffic rates, eliminating the need for manual administrative intervention while maintaining precise control
Solution Approach 2:
The system introduces an automated intermediary process that analyzes networking data and determines appropriate rate limits, acting as a mediator between raw traffic data and rate limit configuration to eliminate manual intervention
Data Source
AI summary
A network device may obtain policer configuration information. The network device may determine, based on the policer configuration information, a traffic rate limit associated with a traffic protocol type. The network device may obtain, based on the traffic protocol type, networking data associated with the traffic protocol type. The network device may determine, based on the networking data, an expected traffic rate associated with the traffic protocol type. The network device may update, based on the expected traffic rate, the traffic rate limit. The network device may cause traffic associated with the traffic protocol type to be policed based on the updated traffic rate limit.