Client Device Configuration via Context-Aware Endpoint Routing
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Solution Overview
Problem
Existing approaches to routing client requests in a global environment with multiple boundary services and different domains are inadequate, as they introduce additional latency and hops due to geolocation-based resolution.
Innovation Solution
Configuring client devices with endpoint and dimension information based on current client context data, allowing requests to be routed directly to the appropriate service without unnecessary hops, while ensuring compliance with regional data privacy regulations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If a single common endpoint or DNS entry is used that resolves to multiple canonical names with geolocation-based resolution, then service accessibility is improved, but additional latency is introduced due to extra lookup hops
Solution Approach 1:
The system performs geolocation-based resolution in advance by determining the client's location and pre-selecting the appropriate canonical service name before the actual service request is made. This preliminary resolution step eliminates the need for additional lookup hops during service execution, thereby reducing latency while maintaining service accessibility.
2Adaptability or versatility
If multiple boundary services or different domains with different constraints and deployment architectures are used, then service functionality and regional compliance are improved, but routing complexity increases
Solution Approach 1:
The system assigns different canonical service names to different geographical regions based on local constraints and deployment architectures. Each region has its own optimized service endpoint that complies with local regulations and performance requirements. This local differentiation approach enables regional compliance while simplifying routing decisions, as clients in each region directly connect to their locally-appropriate service without needing to navigate complex multi-domain routing.
Data Source
AI summary
The described technology is generally directed towards configuring a client device with client configuration data based on client context data. The configuration data can include endpoints of various services to which the client can connect that are appropriate for the client device based on the client context data, along with dimension information (route key values) for connecting to each such service. For example, a roaming client device can be given an endpoint and dimension information to connect to a content service in the roaming region, with a different endpoint and dimension information for communicating user information to a home region to which the user is affiliated. This facilitates single hop/reduced latency for content requests, and compliance with home regulations via a single hop to the home service.