Content Delivery Network Pre-Caching for Bandwidth Management
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Solution Overview
Problem
Content delivery networks face challenges in managing bandwidth utilization, leading to periods of high demand followed by low demand, resulting in inefficient use of network resources and potential service disruptions or revenue loss.
Innovation Solution
Identifying high probability of viewership (HpoV) content and scheduling its transmission during expected low network demand periods, using techniques such as trickle downloads and edge caching to pre-cache content, thereby optimizing bandwidth usage and reducing latency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If content is transmitted during peak demand periods, then user access speed is improved, but network bandwidth utilization becomes inefficient and service disruptions occur
Solution Approach 1:
The system performs preliminary actions by pre-caching content during off-peak periods before actual user demand occurs. Content is identified, selected, and stored in advance in a content delivery network, so that when users request content during peak periods, it is already available locally, eliminating the need for real-time network transmission and thus improving access speed without straining network bandwidth.
2Reliability
If network bandwidth is increased to handle peak demand, then service quality is improved, but capital expenditure and system complexity increase
Solution Approach 1:
Instead of increasing network infrastructure capacity to handle peak demand, the system performs preliminary actions by pre-positioning content in the content delivery network during off-peak periods. This eliminates the need for additional bandwidth capacity during peak times, maintaining service quality without requiring expensive infrastructure upgrades or increased system complexity.
Solution Approach 2:
The system creates copies of content and stores them in the content delivery network in advance. These pre-cached copies are then served to users during peak demand periods, eliminating the need for real-time content generation or transmission from central servers. This copying approach maintains service quality while avoiding the need for increased network capacity or complex infrastructure.
3Productivity
If content is pre-cached during off-peak periods, then bandwidth utilization is optimized, but storage capacity requirements increase
Solution Approach 1:
The system performs preliminary actions by pre-caching content during off-peak periods when network bandwidth is underutilized. By selecting and storing content in advance in the content delivery network, the system optimizes bandwidth utilization during peak periods. The storage capacity requirement is managed through intelligent content selection and prioritization based on predicted user demand.
Solution Approach 2:
The system changes parameters by dynamically selecting which content to pre-cache based on predicted user demand, popularity metrics, and storage availability. This parameter-based selection approach ensures that only the most relevant content is stored, optimizing the balance between storage capacity utilization and bandwidth efficiency without requiring excessive storage resources.
Data Source
AI summary
Apparatus and methods for managing provision of content to devices in a content delivery network. In one exemplary embodiment, content with a high probability of viewership is sent to consumer premises equipment (CPE) during off-peak periods and stored prior to viewing. An application is utilized to manage decisions related to content provision. The computer program will identify content that is likely to be of interest users associated with respective CPE, and schedule provision of that content in advance of viewing. Then, the system will develop a plan for optimal scheduling of transmission of content to CPEs, often including the use of trickle downloads. The scheduling plan is based collected statistical and historical data on network resource demand to make scheduling decisions. The system allows for the shifting of bandwidth utilization from periods of high demand to those of low demand, and increased performance with regard to user experienced latency.