MEC Clusters for Real-Time Media Clip Generation
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Solution Overview
Problem
Current systems for providing media clips in distributed computing environments face challenges in efficiently generating and delivering media content in real-time across User Equipment devices, particularly due to latency and bandwidth limitations, which hinder seamless integration of features like emoji editing and augmented reality applications.
Innovation Solution
The implementation of Multi-Access Edge Computing (MEC) clusters and proxy clip servers that generate and distribute media clips, such as emoji components, in near real-time by processing API calls from User Equipment devices, reducing the need for content generation and transportation across the entire communication path, leveraging the low latency and high bandwidth of MEC networks.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of time
If media clips are generated and transported across the entire communication path between User Equipment devices, then media content can be delivered, but latency increases and bandwidth is consumed
Solution Approach 1:
The patent introduces MEC clusters as intermediary computing resources positioned at network edges between User Equipment devices and core networks. These intermediaries generate and deliver media clips locally, avoiding transportation across the entire communication path, thereby reducing latency while maintaining real-time delivery capability
Solution Approach 2:
The patent shifts the media clip generation from a centralized cloud dimension to distributed edge computing dimensions. By deploying computing resources at multiple network edges closer to users, the system transforms the single-point generation model into a multi-dimensional distributed model, reducing the communication distance and latency
2Loss of time
If media clips are generated in real-time at User Equipment devices, then latency is reduced, but device complexity and processing requirements increase
Solution Approach 1:
The patent uses MEC clusters as intermediaries that perform the complex media clip generation tasks. Instead of requiring User Equipment devices to have sophisticated content generation capabilities, the MEC intermediaries handle the processing, keeping device complexity low while achieving real-time generation
Solution Approach 2:
The patent replaces the mechanical approach of local device processing with a networked approach using MEC clusters. The complex processing is substituted from individual device mechanics to distributed network mechanics, reducing device complexity while maintaining real-time performance
3Adaptability or versatility
If content is transported across the entire communication path, then all devices can access content, but bandwidth is consumed and latency increases
Solution Approach 1:
The patent segments the content delivery function by deploying MEC clusters at multiple network edges. Instead of transporting all content across the entire communication path to a central location, the system divides content generation and delivery to multiple distributed segments, reducing bandwidth consumption while maintaining accessibility
Solution Approach 2:
The patent implements local content generation at MEC clusters positioned near User Equipment devices. This local quality approach allows devices to access content from nearby edge nodes rather than fetching all content from distant central servers, reducing bandwidth consumption while preserving content accessibility
Data Source
AI summary
A system may include a first device and a second device. The first device may be configured to select a second device for providing a first User Equipment device (UE) with media clips in accordance with Application Programming Interface (API) calls from a second UE. The second device may be configured to: receive a first API call from the second UE to generate and provide a media clip; generate the media clip; and send the generated media clip to the first UE.