Predictive Prefetching and Caching for Web Page Load Latency
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Solution Overview
Problem
In cloud-based applications, users experience delays when navigating between web pages due to the need for the web browser to request and load new pages, which can lead to a poor user experience, especially when accessing frequently visited pages.
Innovation Solution
Implementing a predictive prefetching and caching system that uses usage patterns and performance metrics to proactively load metadata and content data for anticipated web pages, reducing the time it takes to render the next page by having it partially or fully generated before the user requests it.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of time
If web pages are loaded on-demand when users navigate, then network bandwidth is conserved and server load is reduced, but user experience deteriorates due to waiting delays
Solution Approach 1:
The system performs preliminary actions by prefetching web page content, metadata, and associated resources before users actually request them. The prefetching module proactively fetches data based on predicted user navigation patterns, storing it in cache memory so that when users do navigate to those pages, the content is already available locally, eliminating wait times while avoiding unnecessary network transfers for unprefetched content
2Ease of operation
If predictive prefetching is implemented, then user experience improves by reducing wait times, but system complexity increases due to prediction algorithms and caching infrastructure
Solution Approach 1:
The patent introduces a prefetching module as an intermediary component between the user interface and the web server. This module acts as a mediator that analyzes user behavior patterns, predicts future navigation, and pre-fetches content without requiring changes to the core web server architecture or browser functionality. The intermediary handles the complexity of prediction algorithms and caching logic separately, maintaining simplicity in the main system while improving user experience
Solution Approach 2:
The system implements self-service through automated prediction and prefetching mechanisms that operate without manual intervention. The prefetching module continuously monitors user navigation patterns, automatically updates prediction models, and dynamically decides what content to prefetch based on real-time behavior analysis. This self-optimizing approach reduces the need for complex manual configuration and maintenance while improving ease of operation
3Speed
If web page content is cached locally, then access speed improves for subsequent visits, but memory resources are consumed by stored content
Solution Approach 1:
The patent applies local quality by caching content selectively based on predicted user needs rather than uniformly caching all pages. The prefetching module analyzes individual user navigation patterns and prefetches only the specific pages, metadata, and resources that each user is likely to visit next. This targeted approach ensures that cache memory is used efficiently to store high-value content that will actually be accessed, improving speed while minimizing unnecessary memory consumption
Solution Approach 2:
The system employs partial action by prefetching only the essential components of web pages rather than complete pages. The prefetching module selectively caches critical elements such as page structure, key metadata, and frequently accessed resources while leaving out less important content. This partial caching strategy provides sufficient speed improvement for user experience while reducing the overall memory footprint of cached content
Data Source
AI summary
A method is described for intelligently prefetching a web page of a web application for a user. The method includes loading, by a client device, a current web page of the web application in a web browser of the client device; determining a predicted web page based on the current web page and usage patterns of the user, wherein the predicted web page is a web page the user is predicted to navigate to from the current web page; prefetching, by the client device, metadata and content data describing the predicted web page from a web server prior to the user requesting the predicted web page; and caching, by the client device, the metadata and content data describing the predicted web page in a multi-level caching structure.