Private Cloud Topology Manager Optimizing Traffic Routing
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Solution Overview
Problem
Current cloud computing systems lack an efficient mechanism to optimize traffic routing between user devices and cloud services, leading to suboptimal performance and increased costs due to inefficient path selection.
Innovation Solution
A private cloud topology management (PCTM) system that collects network service topology information, generates routing rules, and distributes them to request routers to direct traffic over the best network path, considering performance metrics and policies.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If traditional cloud routing mechanisms are used, then system simplicity is maintained, but traffic routing efficiency deteriorates leading to suboptimal performance and increased costs
Solution Approach 1:
The patent introduces a private cloud topology manager as an intermediary component that collects topology information from multiple clouds and generates optimized routing rules. This mediator sits between the clouds and request routers, providing intelligent routing without requiring changes to the existing cloud infrastructure or router hardware, thus improving efficiency while maintaining reasonable system complexity
Solution Approach 2:
The topology manager performs preliminary actions by pre-collecting topology information from all connected clouds and pre-generating routing rules based on performance metrics and policies. This advance preparation allows request routers to quickly obtain optimized routing information without real-time computation, improving routing efficiency while keeping the system architecture relatively simple
2Reliability
If optimal path selection is implemented, then performance metrics improve, but the complexity of routing management increases
Solution Approach 1:
The topology manager implements self-service by automatically collecting topology information from clouds, analyzing performance metrics, and generating routing rules without manual intervention. The system autonomously monitors cloud status changes and updates routing rules accordingly, improving performance reliability while reducing the operational complexity of routing management
Solution Approach 2:
The system establishes feedback loops where the topology manager continuously monitors cloud topology information and performance metrics, then uses this feedback to dynamically adjust and regenerate routing rules. This closed-loop control ensures optimal performance while automating the complexity of routing management decisions
3Productivity
If centralized topology management is introduced, then routing optimization improves, but system architecture complexity increases
Solution Approach 1:
The patent segments the routing management function into a dedicated topology manager component separate from the clouds and request routers. This segmentation allows centralized topology optimization while keeping the core cloud and router architectures simple and unchanged. The topology manager handles the complexity of centralized management independently, improving data transport efficiency without significantly increasing overall system architecture complexity
Data Source
AI summary
A device configured to receive network topological information from devices in a private Internet Protocol (PIP) network receive network performance data from the devices; receive service topological information from a cloud; receive service performance data from the cloud; receive policies for determining optimum routes to the cloud from an administration device; apply the policies to the network topological information from the devices, the network performance data, the service topological information, and the service performance data to obtain routing rules; and forward the routing rules to a set of request routers.