Browser Cache Detection via Random Number Comparison
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Browser caches often fill up, leading to slowed or failed web-based applications, and existing methods lack effective detection and notification mechanisms to alert users of cache issues.
Innovation Solution
A method involving multiple requests for the same document with a random or pseudo-randomly generated number to detect cache conditions, where a mismatch in response values indicates a cache issue, and user notification with instructions to resolve the condition, along with detection of proxy caching by analyzing user-specific responses.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If the browser cache is used to store recently accessed information, then network traffic is reduced and user experience is speeded up, but the cache will occasionally fill up and cause web-based applications to slow down or fail
Solution Approach 1:
The system performs preliminary detection by making test requests with unique identifiers before normal operations. The cache detection mechanism proactively checks cache functionality by comparing response values from repeated requests, identifying cache issues before they cause application failures or slowdowns.
Solution Approach 2:
The system implements a feedback mechanism where the detection of cache conditions (full or malfunctioning) triggers user notifications and alerts. This feedback loop allows the system to respond to cache issues by informing users to clear their cache, preventing further operational problems.
2Quantity of substance
If the cache is filled with stored pages, then subsequent page requests can be obtained from cache, but the cache will fill up despite removal procedures and cause applications to fail
Solution Approach 1:
The system performs preliminary detection by making test requests with unique identifiers before normal operations. The cache detection mechanism proactively checks cache functionality by comparing response values from repeated requests, identifying cache issues before they cause application failures or slowdowns.
Solution Approach 2:
The system implements a feedback mechanism where the detection of cache conditions (full or malfunctioning) triggers user notifications and alerts. This feedback loop allows the system to respond to cache issues by informing users to clear their cache, preventing further operational problems.
3Measurement precision
If a detection mechanism is implemented to identify cache conditions, then users can be alerted of cache issues, but the system requires sending multiple requests and comparing values
Solution Approach 1:
The detection mechanism uses a simple copying approach by sending repeated requests with the same unique identifier and comparing the response values. This method achieves accurate cache detection through value comparison without requiring complex analysis algorithms or multiple sophisticated measurement techniques.
Data Source
AI summary
The invention detects a full browser cache using multiple requests for the same page from a known URL. A request to the URL returns a page with a randomly or pseudo-randomly generated number. A request and then a re-request is made for the same page. If the cache is operating normally, the page for the re-request will be obtained from the browser cache and the number in the first request response will match the number from the re-request response. If the cache is not properly storing pages, the page will be fetched from the URL and contain a different randomly generated number, and therefore, the number in the two responses will not match. The user is notified and may be pointed to information explaining how to empty the cache.