DNS Endpoint Discovery for Cloud Edge Latency
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Solution Overview
Problem
Cloud computing platforms face challenges in providing low latency computing resources to end users due to physical constraints such as network distance and number of hops between user devices and centralized data centers, limiting the achievement of very low latencies required for applications like game streaming, virtual reality, and autonomous vehicles.
Innovation Solution
Deploying provider substrate extensions within communications service provider networks, which are closer to end users, allowing for dramatically lower access latency by extending the cloud provider network edge locations into these networks, enabling low-latency interactions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If computing resources are provisioned from centralized data centers, then resource pooling and management efficiency are improved, but network latency increases due to physical distance and number of hops between user devices and data centers
Solution Approach 1:
The patent segments the centralized cloud computing system into distributed edge locations embedded within telecommunications networks. These edge locations are geographically distributed closer to end users, reducing network latency while maintaining centralized management capabilities through coordination with the core cloud platform.
Solution Approach 2:
The patent introduces a new spatial dimension by embedding cloud edge locations within the telecommunications network infrastructure rather than relying solely on traditional centralized data centers. This dimensional shift allows resources to be positioned closer to users in the network topology, reducing physical distance and latency.
2Loss of time
If cloud edge locations are embedded in telecommunications networks, then access latency is reduced, but device complexity and network integration challenges increase
Solution Approach 1:
The patent creates edge locations that serve multiple functions: they act as both telecommunications network nodes and cloud computing resources. This multi-functionality reduces the need for separate infrastructure and simplifies integration by leveraging existing network components for dual purposes.
Solution Approach 2:
The edge locations are designed to autonomously manage their own operations including resource provisioning, load balancing, and coordination with the core cloud platform. This self-service capability reduces the operational complexity and manual intervention required for network integration.
3Speed
If computing resources are distributed closer to end users, then responsiveness and user experience are improved, but resource pooling efficiency and management overhead increase
Solution Approach 1:
The patent implements feedback mechanisms where edge locations continuously report resource utilization, performance metrics, and user demand patterns to the core cloud platform. This feedback enables dynamic resource allocation and load balancing, allowing the system to automatically optimize resource distribution across distributed edge locations based on real-time conditions.
Data Source
AI summary
Techniques for DNS-based endpoint discovery involving provider substrate extension resources are described. A client seeking to access a resource may utilize a DNS resolver located within a provider substrate extension of a provider network. The DNS resolver may be dynamically configured by a coordinator service located within the provider network to resolve a domain to an endpoint that may provide the lowest latency of access for clients close to the provider substrate extension.