Ingress Router Load Balancing via Dynamic IP Mapping
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Solution Overview
Problem
Current network management tools are inadequate for effectively controlling incoming traffic, leading to manual, error-prone, and unstable methods that fail to predictably manage load balancing and avoid congestion.
Innovation Solution
A method and system that monitor the loads of multiple ingress routers, select the most appropriate router based on load, and create a mapping between internal and client IP addresses to rewrite destination IP addresses, ensuring efficient traffic routing and load balancing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual methods are used to control incoming traffic, then operators can implement basic traffic control, but the methods become error-prone, unstable, and unpredictable
Solution Approach 1:
The system enables automated self-service traffic control where the network infrastructure automatically monitors router loads, selects appropriate ingress routers, creates IP address mappings, and rewrites destination addresses without manual intervention. This eliminates human errors and provides stable, predictable traffic control outcomes.
Solution Approach 2:
The system continuously monitors the loads of ingress routers and uses this feedback information to dynamically select the most appropriate router for incoming traffic. This closed-loop feedback mechanism ensures stable and adaptive traffic control that responds to changing network conditions.
2Adaptability or versatility
If existing protocols are used to control outgoing traffic, then outgoing traffic can be managed, but systematic control of incoming traffic remains lacking
Solution Approach 1:
The system introduces an intermediary mechanism that sits between incoming traffic and the network core. This intermediary performs load monitoring, router selection, IP mapping creation, and destination address rewriting, providing systematic incoming traffic control without requiring changes to existing router protocols or architectures.
Solution Approach 2:
The traffic control functionality is segmented into distinct operational components: load monitoring, router selection, IP mapping management, and address rewriting. This segmentation allows each component to be optimized independently while working together to provide comprehensive incoming traffic control capability.
3Reliability
If traffic is distributed across multiple ingress routers, then network reliability improves, but load balancing becomes difficult to control
Solution Approach 1:
The system implements dynamic load balancing by continuously monitoring router loads and adapting traffic distribution in real-time. The IP address mappings and destination rewrites are dynamically adjusted based on current router conditions, ensuring both network reliability through multiple paths and optimal traffic flow efficiency through load-aware routing.
Data Source
AI summary
A method and system are provided for controlling a volume of incoming traffic into a network having a plurality of ingress routers. The method includes monitoring respective loads of the plurality of ingress routers. The method further includes selecting a particular one of the plurality of ingress routers to receive future incoming traffic based on at least the respective loads of the plurality of ingress routers. The method also includes creating a mapping between an internal source IP address and a client IP address. The internal source IP address relates to the particular one of the plurality of routers. The client IP address is for a client device accessing the Internet through the network. The method additionally includes rewriting a destination IP address of the incoming traffic based on the mapping. At least the monitoring, selecting, and creating steps are performed by a controller.