Tiered Cookie Management for Data Retention
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Solution Overview
Problem
Web browsers have finite limits on the number of cookies and their size, leading to arbitrary deletion of data, including important login information, which affects user experience.
Innovation Solution
Implementing a tiered cookie management system where data is categorized by importance, ensuring that only less important data is deleted to accommodate new data, with the most important data protected from deletion.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If Web browsers store cookies up to their finite limits, then the quantity of stored data increases, but important data may be arbitrarily deleted when limits are exceeded
Solution Approach 1:
The patent segments cookie data into different tiers based on importance (first tier for most important data, second tier for less important data). This segmentation allows the system to manage cookie storage by prioritizing critical data, ensuring that when storage limits are reached, only lower-priority data is deleted while important data is preserved.
Solution Approach 2:
The patent applies local quality by assigning different retention priorities to different portions of cookie data. Instead of treating all cookie data uniformly, the system applies different deletion rules to different tiers: first-tier data is protected from deletion while second-tier data can be deleted when needed. This ensures that important data maintains high reliability while still allowing the system to manage storage limits.
2Adaptability or versatility
If Web browsers delete data to accommodate new cookies, then the adaptability of cookie storage increases, but user experience deteriorates due to loss of login information
Solution Approach 1:
By segmenting cookie data into tiers, the system gains adaptability to manage storage dynamically while protecting user experience. The segmentation allows the browser to adaptively delete only non-critical data (second tier) when storage is full, preventing the loss of important data like login information that would harm user experience.
Solution Approach 2:
The patent changes the parameter of data priority by introducing tier-based classification. This parameter change enables the system to differentiate between data that can be deleted and data that must be retained, allowing adaptive storage management without compromising user experience through loss of critical information.
3Reliability
If a tiered cookie management system is implemented, then the reliability of important data is improved, but the device complexity increases
Solution Approach 1:
While segmentation into tiers does increase system complexity compared to uniform cookie management, it provides a structured and manageable approach to protecting important data. The tiered system organizes complexity in a way that is easier to implement and maintain than arbitrary deletion rules, as each tier has clear retention policies.
Solution Approach 2:
The local quality approach applies different management rules to different data portions, which increases complexity compared to uniform management. However, this localized differentiation is necessary to achieve high reliability for important data while maintaining reasonable system complexity through clear, rule-based tiered management.
Data Source
AI summary
A system and method which may allow a Web application to manage cookies and prevent important data in cookies from being arbitrarily deleted. Cookie data may be separated into a number of tiers according to their importance. When a request to write new data to a cookie is received, the tier to which the new data belongs may be determined and compared to the tier(s) of existing data in the cookie, and existing data may be deleted from the cookie to free room for the new data only when the existing data is not more important than the new data.