Indirection RAM Network Load Balancing
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Solution Overview
Problem
Conventional load balancing techniques, such as round-robin routing, fail to effectively distribute network traffic, leading to node congestion and bottlenecks, which degrade network performance even when using equal-weighted paths.
Innovation Solution
A network device employing an indirection RAM that stores information on multiple paths from source to destination devices, using a hash component to generate a hash index and identify a classification result, thereby facilitating load balancing by selecting less congested paths.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If round-robin load balancing is used to distribute packets across multiple circuits, then packet distribution is simplified, but node congestion still occurs and network performance degrades
Solution Approach 1:
The patent changes the routing parameters from equal-weighted round-robin selection to variable-weighted path selection based on congestion metrics. The system dynamically adjusts path weights according to measured congestion levels, allowing packets to be routed through less congested paths while maintaining load balancing functionality.
Solution Approach 2:
The patent implements a feedback mechanism where congestion metrics are continuously measured and used to adjust routing decisions. The system monitors network conditions and feeds this information back into the path selection process, enabling dynamic adaptation to changing network states and preventing congestion at specific nodes.
2Device complexity
If packets are routed through few nodes to simplify routing, then routing complexity is reduced, but bottlenecks occur and network performance degrades
Solution Approach 1:
The patent transforms the static routing table into a dynamic structure that adapts to network conditions. Instead of fixed routing paths, the system continuously updates path selections based on real-time congestion metrics, allowing the network to dynamically respond to changing traffic patterns and avoid bottlenecks.
Solution Approach 2:
The patent segments the routing decision process into multiple components: path identification, congestion metric measurement, weight calculation, and packet routing. This segmentation allows each component to be optimized independently and enables parallel processing of routing decisions, reducing overall complexity while improving throughput.
3Ease of manufacture
If equal-weighted paths are used for load balancing, then implementation is simplified, but congestion cannot be avoided and network performance suffers
Solution Approach 1:
The patent performs preliminary actions by pre-calculating path weights and congestion metrics before packet routing decisions are made. The system prepares routing information in advance and updates it based on measured congestion, allowing for quick routing decisions without complex real-time calculations while maintaining effective congestion avoidance.
Data Source
AI summary
An apparatus and a method for load balancing across multiple routes using an indirection table and hash function during a process of packet classification are disclosed. A network device such as a router includes a memory, a hash component, and a result memory. The memory is referred to as an indirection random access memory (“RAM”), is capable of storing information regarding number of paths from source devices to destination devices. The memory, in one embodiment, provides a base index value and a range number indicating the number of paths associated with the base index value. The hash component generates a hash index in response to the base index value and the range number. Upon generation of hash index, the result memory identifies a classification result in response to the hash index.