Edge Cloud Video Preloading for Network Congestion

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Solution Overview

Problem

Modern telecommunications systems face challenges in efficiently managing wireless video traffic, leading to network congestion and resource waste due to the high demand for video services, which necessitates costly spectrum allocation and infrastructure upgrades.

Innovation Solution

A system that determines a user's video viewing profile and identifies recommended video clips, preloading them onto edge cloud servers during periods of reduced network activity, allowing for on-demand streaming and reducing the load on central video content servers.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Productivity

If video content is delivered from central servers during peak demand periods, then user access is provided, but network congestion and resource waste occur

Engineering Contradiction:
Improvevideo delivery efficiencyVSAvoidnetwork resource waste
Core Design Contradiction:
ProductivityVSLoss of energy

Solution Approach 1:

The system pre-loads video clips onto edge cloud servers during periods of reduced network activity before peak demand occurs. This preliminary action stores content closer to end users in advance, so that during peak periods videos can be delivered from edge servers rather than central servers, reducing network congestion and resource waste while maintaining fast delivery

Inventive Principle:
Principle #10Preliminary action

Solution Approach 2:

The system segments video content into multiple clips and distributes them to different edge cloud servers located at various network edges. This segmentation allows localized delivery of specific video clips from nearest edge servers, reducing the load on central servers and minimizing network resource consumption during peak periods

Inventive Principle:
Principle #1Segmentation

2Quantity of substance

If spectrum allocation and infrastructure upgrades are implemented to handle video traffic, then network capacity increases, but costs increase

Engineering Contradiction:
Improvenetwork capacityVSAvoidcostly spectrum and infrastructure
Core Design Contradiction:
Quantity of substanceVSLoss of energy

Solution Approach 1:

The system introduces edge cloud servers as intermediary nodes between central video content servers and end users. These edge servers act as mediators that cache and deliver video clips locally, reducing the need for additional spectrum allocation and infrastructure upgrades at the central level while still providing increased network capacity for video traffic

Inventive Principle:
Principle #24Intermediary (Mediator)

Solution Approach 2:

The system creates copies of video content and stores them at edge cloud servers distributed throughout the network. These copies enable local delivery of video clips without requiring additional spectrum or infrastructure capacity at the central server level, providing increased network capacity at minimal cost

Inventive Principle:
Principle #26Copying

3Productivity

If video clips are preloaded onto edge servers during reduced activity periods, then network efficiency improves, but storage requirements at edge servers increase

Engineering Contradiction:
Improvenetwork efficiencyVSAvoidedge server storage
Core Design Contradiction:
ProductivityVSVolume of stationary object

Solution Approach 1:

The system applies local quality by selecting and caching specific video clips at each edge server based on local user preferences, viewing history, and predicted demand patterns. Rather than uniformly distributing all video content to all edge servers, each edge server stores a customized subset of video clips relevant to its local user base, improving network efficiency while optimizing storage utilization

Inventive Principle:
Principle #3Local quality

Data Source

PatentUS11558648B2Method and apparatus for delivery of media content
Publication Date: 2023.01.17 AT&T INTELLECTUAL PROPERTY I L P
  • US11558648B2 patent drawing
  • US11558648B2 patent drawing
  • US11558648B2 patent drawing

AI summary

Aspects of the subject disclosure may include, for example, a method, including identifying recommended video clips for a user of a communication device according to a video viewing profile for the user and video subject matter information associated with a plurality of video clips, identifying an edge cloud server for facilitating network access by the communication device at a location, determining a reduced activity period for a data path between a video content server and the edge cloud server by comparing activity information for the data path and an activity threshold, directing the video content server to store the recommended video clips at the edge cloud server during the reduced activity period, and providing a listing of the recommended video clips to an application, where the communication device receives a video clip of the recommended video clips from the edge cloud server responsive to a selection of the video clip via the application. Other embodiments are disclosed.