Edge Node AR Content Delivery Latency Reduction
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Solution Overview
Problem
Existing augmented reality systems face high latency issues when delivering high-definition content to mobile devices due to the limitations of traditional content delivery infrastructure, which can disrupt the seamless overlay of virtual content onto real-world environments.
Innovation Solution
Implementing a content delivery network with geographically distributed edge nodes that store and deliver augmented reality data based on proximity and demographic targeting, allowing for localized storage and quick retrieval of data, thereby reducing latency and improving network efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If traditional content delivery infrastructure is used to deliver high-definition augmented reality content to mobile devices, then content quality can be maintained, but latency increases and delivery speed decreases
Solution Approach 1:
The patent segments the centralized content delivery infrastructure into geographically distributed edge nodes. Each edge node stores copies of augmented reality content locally, allowing content to be delivered from the nearest node to the user. This segmentation reduces the physical distance data must travel, thereby decreasing latency and improving delivery speed while maintaining content quality.
Solution Approach 2:
The patent implements preliminary action by pre-loading and caching augmented reality content at edge nodes before users request it. The system predicts which content will be needed based on user location and behavior patterns, storing this content in advance at the appropriate edge nodes. When users access the content, it is already available locally, eliminating retrieval latency and ensuring immediate delivery.
2Loss of time
If content is cached at edge nodes based on location, then delivery latency is reduced, but network infrastructure complexity increases
Solution Approach 1:
The patent applies universality by designing edge nodes that perform multiple functions: they serve as content caching servers, user authentication points, location tracking devices, and data compression units. This multi-functionality reduces the need for separate specialized infrastructure components, thereby managing complexity while achieving low-latency content delivery through intelligent caching at distributed locations.
Solution Approach 2:
The patent implements feedback mechanisms where edge nodes continuously monitor content access patterns, user locations, and network conditions. This feedback information is used to dynamically adjust which content is cached at each node and to optimize content delivery routes. The feedback loop enables the system to adapt to changing conditions automatically, reducing the need for manual configuration and managing infrastructure complexity.
3Productivity
If high-resolution augmented reality content is delivered through centralized networks, then content quality is maintained, but network bandwidth consumption increases and delivery efficiency decreases
Solution Approach 1:
The patent applies local quality by delivering content from the nearest edge node to each user based on their geographic location. Users in the same geographic area receive content from the same local node, minimizing the distance data must travel across the network. This localizes content distribution, reducing overall network bandwidth consumption while maintaining high content quality through direct, high-speed local connections.
Solution Approach 2:
The patent uses copying by creating and distributing multiple copies of augmented reality content to different edge nodes across the network. Instead of delivering the same content through a single centralized path multiple times, the system pre-creates copies at various geographic locations. When users request content, they receive it from the nearest copy, dramatically reducing network bandwidth consumption and improving distribution efficiency.
Data Source
AI summary
The disclosed computer-implemented method may include (i) identifying, by a content delivery network, (a) a set of edge nodes that are managed by the content delivery network and that are distributed in a plurality of physical locations and (b) a set of augmented reality data, (ii) directing each edge node in the set of edge nodes to store a subset of the set of augmented reality data that is designated for use at a physical location that is serviced by the edge node, (iii) detecting a request from a mobile device for an item of augmented reality data, (iv) selecting a node within the set of edge nodes based at least in part on a proximity of the node to the mobile device, and (v) directing the node to send the item of augmented reality data to the mobile device. Various other methods, systems, and computer-readable media are also disclosed.