Browser Cache Preloading via Virtualized Resource Prioritization
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Solution Overview
Problem
Web browsers experience unacceptably long startup wait times in high-latency networks due to the time required to receive dependent resources for webpage rendering, particularly in cellular 3G networks, where network latency is high.
Innovation Solution
The implementation of an optimized content delivery environment that virtualizes the Document Object Model (DOM) of a web browser, allowing for segmentation and reprioritization of downloaded resources, including the use of a virtualization engine to intercept and modify resource requests, and preloading of resources in a browser cache based on determined priority order.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If web browsers wait to receive all dependent resources before rendering webpages, then resource completeness is ensured, but startup wait time becomes unacceptably long in high-latency networks
Solution Approach 1:
The system performs preliminary actions by intercepting and analyzing resource requests before the browser actually needs them. The virtualization engine proactively identifies dependent resources and initiates their delivery in advance, allowing resources to be prepared and staged before the browser requires them for rendering.
Solution Approach 2:
The resource delivery process is segmented into priority levels. Critical resources needed for initial rendering are delivered first, while non-critical resources are delivered subsequently. This segmentation allows the browser to begin rendering with essential resources while remaining resources are still being transferred.
2Reliability
If all dependent resources are downloaded before webpage rendering, then rendering completeness is ensured, but network bandwidth is wasted on non-critical resources
Solution Approach 1:
Different quality levels of resource delivery are applied based on local needs. Critical resources required for initial webpage display are delivered with high priority and completeness, while non-critical resources are delivered with lower priority or deferred until needed. This local quality approach ensures rendering completeness for essential elements while conserving network bandwidth.
3Stability of the object's composition
If web browsers download resources in the order they appear in the webpage, then resource dependency is maintained, but total download time increases due to sequential processing
Solution Approach 1:
The resource delivery order is made dynamic rather than static. The virtualization engine continuously monitors resource dependencies and adjusts the delivery sequence in real-time. Resources are delivered in an optimized order that respects dependency constraints while maximizing parallel downloads and minimizing total transfer time.
Data Source
AI summary
Preloading a cache is disclosed. A requested web content is received. A priority order associated with one or more resources of the requested web content is determined. The cache of an application is preloaded with one or more resources of the requested web content in a loading order based at least in part on the determined priority order.