Edge Cloud Compute Resource Deployment for Low Latency

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Solution Overview

Problem

Traditional cloud computing deployments in centralized data centers face challenges in achieving low latency due to network distance and number of hops between end-user devices and computing resources.

Innovation Solution

Deploying cloud provider network compute resources at edge locations within communications service provider networks, reducing latency by bringing computing resources closer to end-user devices.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Productivity

If cloud computing resources are deployed in centralized data centers, then resource pooling and management efficiency are improved, but network latency increases due to distance and number of hops between end-user devices and computing resources

Engineering Contradiction:
Improveresource management efficiencyVSAvoidnetwork latency
Core Design Contradiction:
ProductivityVSLoss of time

Solution Approach 1:

The patent segments the centralized cloud computing resources into distributed edge computing nodes deployed within the communications service provider network. This segmentation allows computing resources to be physically closer to end-user devices while maintaining logical integration with the broader cloud infrastructure, thereby reducing network latency without sacrificing resource pooling efficiency

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The patent introduces a spatial dimension to cloud resource deployment by placing compute instances at multiple edge locations throughout the service provider network rather than in a single centralized data center. This dimensional transformation enables simultaneous proximity to multiple user groups while maintaining centralized management capabilities

Inventive Principle:
Principle #17Another dimension (Dimensionality change)

2Loss of time

If cloud computing resources are deployed at edge locations within communications service provider networks, then network latency is reduced by bringing computing resources closer to end-user devices, but device mobility management becomes more complex

Engineering Contradiction:
Improvenetwork latencyVSAvoidmobility management complexity
Core Design Contradiction:
Loss of timeVSDevice complexity

Solution Approach 1:

The patent creates a universal mobility management system that operates across all edge locations within the service provider network. The mobility management entity provides multi-functional capabilities including authentication, authorization, and compute instance migration coordination across distributed edge nodes, simplifying what would otherwise be complex point-to-point management

Inventive Principle:
Principle #6Universality (Multi-functionality)

Solution Approach 2:

The patent introduces a mobility management entity as an intermediary between end-user devices and edge computing resources. This intermediary handles the complexity of mobility management by providing a standardized interface for device authentication, authorization, and compute instance migration, thereby reducing the complexity burden on both devices and edge nodes

Inventive Principle:
Principle #24Intermediary (Mediator)

3Loss of time

If compute instances are migrated between different edge locations based on device mobility, then continuous low-latency access is maintained, but system complexity increases due to migration orchestration requirements

Engineering Contradiction:
Improveaccess latencyVSAvoidmigration orchestration complexity
Core Design Contradiction:
Loss of timeVSDevice complexity

Solution Approach 1:

The patent implements dynamic compute instance migration that automatically responds to device mobility patterns. The system continuously monitors device location and network conditions, dynamically relocating compute instances between edge locations to maintain optimal latency without requiring static pre-configuration or complex manual orchestration

Inventive Principle:
Principle #15Dynamics

Solution Approach 2:

The patent establishes a feedback loop where the mobility management entity continuously monitors device location, connection status, and latency metrics. This feedback drives automatic decisions about compute instance migration timing and destination, reducing orchestration complexity by using real-time data rather than complex predictive algorithms

Inventive Principle:
Principle #23Feedback

Data Source

PatentUS20250165283A1Cloud computing in communications service provider networks
Publication Date: 2025.05.22 AMAZON TECH INC
  • US20250165283A1 patent drawing
  • US20250165283A1 patent drawing
  • US20250165283A1 patent drawing

AI summary

Disclosed are various embodiments relating to cloud computing in communications service provider networks. In one embodiment, a message to launch a customer container is received at an edge location of a cloud provider network embedded within a communications service provider network. The message is received from a control plane service of the cloud provider network. The customer container is launched on a computer system of the edge location, where the computer system has capacity for executing customer containers. The edge location communicates with the cloud provider network at least partly via the communications service provider network. The customer container communicates with a mobile device via the communications service provider network.