Stateless URL Routing for Cloud Load Balancers
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Solution Overview
Problem
Traditional load balancers in cloud-based systems face challenges in efficiently routing network traffic across a large number of backend servers without maintaining state information, requiring complex rules and frequent updates due to dynamic server allocation, especially when multiple load balancers are used for redundancy or scalability.
Innovation Solution
The method involves encoding network addresses within Uniform Resource Locators (URLs) that are sent to client devices, allowing the load balancer to decode and route requests to specific nodes without maintaining state information, using techniques such as hashing IP addresses within the subdomain or path portion of the URLs, enabling stateless routing and scaling to an arbitrary number of nodes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If traditional load balancers maintain state information about backend servers using lookup tables or prioritized lists, then routing decisions can be made, but the complexity of the load balancer increases and processing time increases due to iterating through long lists of rules
Solution Approach 1:
The patent extracts the routing logic from the load balancer by embedding it directly in the URL. Instead of maintaining state information and complex routing tables in the load balancer, the specific backend server identification is extracted and placed in the URL path. This allows the load balancer to become stateless and simpler, while still achieving precise routing to specific backend servers.
2Reliability
If traditional load balancers maintain state information and use complex rules for routing, then proper routing can be ensured, but the processing time increases due to iterating through rules lists
Solution Approach 1:
The routing information is prepared in advance and embedded in the URL before the request reaches the load balancer. The URL contains pre-computed routing information (backend server identification) that eliminates the need for real-time rule evaluation. This preliminary encoding of routing data in the URL allows for immediate routing decisions without iteration through rules lists.
3Adaptability or versatility
If cloud-based systems frequently allocate and deallocate backend servers, then system flexibility is improved, but the load balancer requires frequent updates and complex rules to ensure proper routing
Solution Approach 1:
The system enables self-service routing where the URL itself carries all necessary routing information. When backend servers are allocated or deallocated, the URL generation process automatically reflects the current server state. The load balancer doesn't need to be reconfigured because it simply decodes the routing information from incoming URLs without maintaining any state or rules about backend servers.
4Reliability
If multiple load balancers are employed for redundancy or scalability, then system reliability is improved, but the complexity of maintaining consistent routing across multiple load balancers increases
Solution Approach 1:
The URL-based routing approach creates a universal routing mechanism that works identically across all load balancers. Each load balancer independently decodes URLs and routes requests without needing to communicate with or synchronize with other load balancers. This universal approach enables multiple load balancers to be deployed for redundancy and scalability while maintaining consistent routing behavior through the same URL decoding logic.
Data Source
AI summary
In one aspect, the present disclosure relates to a method comprising: receiving, at a client device, information from a node manager about a plurality of nodes in a computer cluster, the information comprising a network address associated each of the plurality of nodes and sending, by the client device, a request to a load balancer to access a first node from the plurality of nodes, the request comprising a first URL including an encoded representation of the network address associated with the first node. The load balancer is configured to determine the request should be routed to a first network address based on decoding the URL, the first network address associated with a first node from the plurality of nodes and forward the request to the first node in response to the determining.


