Differential Edge Caching for Static and Dynamic Web Content
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Solution Overview
Problem
Existing edge computing systems face inefficiencies in caching dynamic and static web content, leading to suboptimal performance and increased latency in content delivery.
Innovation Solution
Implementing differential caching methods that automatically identify and cache static content locally while fetching dynamic content from origin servers, using automated procedures to differentiate between static and dynamic content without manual labeling, and employing regular expressions to reconstitute the webpage on the client device.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If all web content is cached uniformly on edge computing systems, then storage space is wasted on dynamic content that changes frequently, but content delivery speed is not optimized for different content types
Solution Approach 1:
The patent segments web content into static content (HTML, CSS, JavaScript files that remain unchanged) and dynamic content (API responses, personalized data that changes with each request). This segmentation allows the system to apply different caching strategies to different content types, caching static content locally while fetching dynamic content from origin servers, thereby optimizing both storage utilization and delivery speed.
Solution Approach 2:
The patent implements local quality by treating different content types differently in the caching system. Static content is cached locally at edge computing systems for fast delivery, while dynamic content is fetched from origin servers. This differentiated approach optimizes the caching system's performance characteristics for each content type rather than applying a uniform caching strategy.
2Measurement precision
If manual labeling of static and dynamic content is performed, then content identification accuracy is improved, but system complexity and operational overhead increase
Solution Approach 1:
The patent implements self-service by enabling the caching system to automatically identify and classify content as static or dynamic without requiring manual labeling or configuration. The system uses automated detection mechanisms to analyze content characteristics and make caching decisions autonomously, reducing operational complexity while maintaining accurate content identification.
Solution Approach 2:
The patent employs feedback mechanisms where the system monitors content characteristics and adjusts its classification automatically. By analyzing content patterns and changes over time, the system refines its identification of static versus dynamic content, improving accuracy without requiring manual intervention or complex configuration.
3Loss of time
If dynamic content is cached locally to improve delivery speed, then content delivery latency is reduced, but data freshness and accuracy deteriorate due to content changes
Solution Approach 1:
The patent segments content into static and dynamic categories, applying different caching strategies to each. Static content is cached locally for fast delivery with no freshness concerns, while dynamic content is fetched from origin servers on-demand, ensuring freshness and accuracy. This segmentation resolves the contradiction by preventing caching of content that would become stale.
Solution Approach 2:
The patent implements dynamics by making the caching behavior adaptive to content characteristics. The system dynamically determines whether to cache content based on its nature (static or dynamic), adjusting caching decisions in real-time to balance delivery speed with content freshness requirements.
4Device complexity
If the entire webpage is fetched and cached as a single unit, then caching implementation is simplified, but bandwidth consumption increases and edge performance is suboptimal
Solution Approach 1:
The patent segments the webpage into static content components (HTML, CSS, JavaScript) and dynamic content components (API responses, personalized data). This segmentation enables selective caching of only the static portions, reducing bandwidth consumption by avoiding redundant requests for dynamic content while maintaining simplified caching implementation through automated content differentiation.
Solution Approach 2:
The patent extracts and separates static content from dynamic content within the webpage response. By taking out the static content components for local caching while leaving dynamic content to be fetched on-demand, the system reduces unnecessary bandwidth consumption and improves edge performance without significantly increasing implementation complexity.
Data Source
AI summary
Methods and systems which involve edge computing systems with improved edge performance are disclosed herein. A disclosed method includes transmitting first and second edge requests for a webpage, analyzing first and second responses to the first and second requests, and identifying a collection of dynamic content document objects on the webpage. The webpage comprises the collection of dynamic content document objects and a collection of static content document objects. The method further includes caching the collection of static content document objects and in response to receiving a client request for the webpage: transmitting the collection of static content document objects from the cache; and transmitting a third edge request for the collection of dynamic content document objects. The method further includes receiving the collection of dynamic content document objects and transmitting the collection of dynamic content document objects to the client device.