Pre-caching Content via Off-Peak Network Capacity
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Solution Overview
Problem
Video streaming services put a strain on network resources during peak hours, leading to congestion and reduced capacity in wireless networks.
Innovation Solution
Implementing a system for intelligently caching content by predicting upcoming congestion periods and pre-caching content during off-peak hours, utilizing the interaction between wireless network and content provider servers to determine optimal caching windows based on device and system capacities.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If content is cached during peak hours, then user access speed is improved, but network capacity is overwhelmed and congestion occurs
Solution Approach 1:
The system performs content caching in advance during off-peak hours when network load is low. The network server identifies content that is likely to be requested and pre-caches it to edge devices before peak demand occurs, ensuring fast access during high-traffic periods without overloading the network at those times.
Solution Approach 2:
The system enables edge devices to serve content locally from their cached storage rather than requiring continuous network access. Once content is cached at the edge device, the device can independently provide content to users without consuming additional network capacity, effectively making the edge device self-sufficient for content delivery.
2Quantity of substance
If more content is cached at edge devices, then peak hour network demand is reduced, but device storage capacity is consumed
Solution Approach 1:
The system tailors the caching strategy to each edge device's specific storage capacity and characteristics. Instead of a uniform caching approach, the network server adjusts which content is cached and how much content is stored based on the individual device's available space, ensuring optimal utilization of each device's local storage resources.
Solution Approach 2:
The system dynamically adjusts caching parameters such as cache size, content selection criteria, and refresh intervals based on device storage capacity, network conditions, and user behavior patterns. This allows the system to optimize the balance between reducing network demand and respecting device storage constraints.
Data Source
AI summary
Systems and methods are provided for pre-caching content to customer premises equipment (CPE) such as set-top boxes, fixed wireless access devices, etc. Video streaming services are increasingly popular and can put a strain on network resources during peak hours. Wireless network peak hour capacity demand can be reduced by utilizing off-peak hour content/video caching. A cache time during off-peak hours can be determined through the interaction of wireless network and content provider servers.


