Context-Sensitive CDN Caching for Personalized Content Accuracy
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Solution Overview
Problem
Content delivery networks (CDNs) face challenges in efficiently managing and delivering personalized content, such as unique user data, due to limited caching capabilities and expiration issues, which can lead to inaccurate or incomplete data when cached resources become outdated.
Innovation Solution
Implementing a content delivery network service provider that uses resource caching with extended expiration criteria and context criteria, such as timestamps, to maintain cached objects until they are no longer valid, and processes context change information to determine when cached content should be updated or invalidated.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If CDN service providers use traditional resource caching with standard expiration criteria, then caching operations are simple and fast, but personalized content becomes outdated or inaccurate when cached resources expire
Solution Approach 1:
The patent changes the expiration parameter from a fixed time-based criterion to a dynamic context-based criterion. Context criteria include user session information, purchase history timestamps, and other contextual data that determines when cached personalized content remains valid. This allows the system to maintain accurate personalized content by evaluating contextual relevance rather than relying on simple time expiration.
Solution Approach 2:
The system implements feedback mechanisms where context change information is continuously monitored and processed. When contextual parameters change (e.g., user makes a purchase, session expires), the system receives feedback about these changes and automatically invalidates or updates corresponding cached content. This feedback loop ensures cached personalized content remains accurate without manual intervention.
2Productivity
If CDN service providers extend caching duration for personalized content, then delivery efficiency improves, but data accuracy deteriorates as cached content becomes outdated
Solution Approach 1:
The patent makes the caching expiration dynamic by introducing context criteria that adapt to changing user states. Instead of a static time-to-live value, the system dynamically evaluates whether cached content is still relevant based on contextual factors such as user activity, session status, and external events. This allows extended caching when content remains relevant while automatically expiring when context changes indicate outdated information.
Solution Approach 2:
The system performs preliminary actions by establishing context criteria and monitoring mechanisms in advance. Before cached content becomes outdated, the system proactively detects context changes and invalidates or updates the cache. This preliminary action prevents delivery of stale personalized content while maintaining efficient caching for the duration of content validity.
3Reliability
If CDN service providers implement context criteria monitoring, then personalized content accuracy is maintained, but processing overhead and resource consumption increase
Solution Approach 1:
The patent extracts and monitors only the critical contextual parameters that actually affect content validity. Rather than continuously analyzing all possible context changes, the system identifies and monitors specific key criteria such as user session state, purchase timestamps, and other high-impact contextual factors. This selective extraction reduces processing overhead while maintaining accuracy for the most important validity determinants.
Solution Approach 2:
The system enables self-service by having the origin server or content provider automatically provide context change information to the CDN. Instead of the CDN actively polling for context changes, the content origin pushes relevant contextual updates to the CDN system. This self-service approach minimizes processing overhead at the CDN while ensuring timely detection of context changes that affect cached content validity.
Data Source
AI summary
Aspects of the present disclosure relate to the generation and delivery of content including unique and shared components. A content delivery network service provider can obtain requests for content from client computing devices. Based on information provided in the request or otherwise managed by executable code on the client computing device, the CDN service provider obtains one or more pieces of content that may be shared by more than one user or client computing devices. Additionally, the CDN service provider obtains one or more pieces of content that will not be shared by more than one user or more than one client computing device. Responsive to the content request, the CDN service provider can combine the one or more pieces of shared content and the one or more pieces of unique content and deliver the combined content to the requested client computing device.