Permission Aggregator User Segmentation for Cache Efficiency
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Solution Overview
Problem
Existing human resource management systems face inefficiencies in updating cached permissions for large organizations, leading to resource wastage and performance delays, as they require proactive updates for all members, which is costly and time-consuming.
Innovation Solution
A method that differentiates users into proactive rebuild and invalidated categories based on usage frequency, where only frequent users' permissions are proactively updated within a defined time window, while less-frequent users' permissions are invalidated and updated only when requested, using a global invalidated cache entry to determine validity and rebuild user profiles.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If all user permissions are proactively updated in the cache, then permission freshness is improved, but resource expenditure and processing time increase significantly
Solution Approach 1:
The patent segments users into two categories: frequent users and infrequent users. For frequent users, permissions are proactively updated in the cache to ensure freshness. For infrequent users, permissions are invalidated and only rebuilt on-demand when accessed. This segmentation resolves the contradiction by applying different update strategies to different user groups, maintaining permission freshness for those who need it while reducing resource expenditure for those who don't.
Solution Approach 2:
Instead of updating all user permissions (excessive action), the patent updates only the permissions of frequent users (partial action). This partial action approach maintains sufficient permission freshness for the majority of users who actively use the system while avoiding the resource waste of updating permissions for infrequent users who may not need them updated.
2Manufacturing precision
If all user permissions are proactively updated, then permission accuracy is improved, but processing time and system performance deteriorate
Solution Approach 1:
The patent divides the user base into frequent and infrequent users, applying proactive permission updates only to frequent users. This segmentation maintains high permission accuracy for active users while preserving system performance by avoiding unnecessary processing for infrequent users.
Solution Approach 2:
The patent implements periodic proactive updates for frequent users based on usage patterns and time thresholds, rather than continuous updates for all users. This periodic action maintains permission accuracy for active users while allowing system performance to recover during off-peak periods.
3Loss of energy
If permission updates are deferred until requested, then resource efficiency is improved, but permission staleness increases causing access delays
Solution Approach 1:
The patent segments users into frequent and infrequent categories, applying proactive updates to frequent users to prevent permission staleness and access delays. For infrequent users, on-demand updates are sufficient since they are less likely to experience time-critical permission needs.
Solution Approach 2:
The patent dynamically adjusts the permission update strategy based on user behavior patterns. Frequent users receive proactive updates before their permissions might stale, while infrequent users receive updates only when needed. This dynamic approach optimizes the balance between preventing access delays and maintaining resource efficiency.
Data Source
AI summary
Aspects refresh permission credentials by populating within user profile data sets cached for members an invalidated value and a first timestamp of said populating the invalidated value; selecting user profile data sets including the invalidated value; identifying a second timestamp of time of creation of the permission credential within the selected user profile data sets; and in response to determining that a time elapsed between the first and second timestamps does not exceed a threshold, rebuilding the selected user profile data sets to include an updated value of the permission credential and set the second timestamp value to a current time of the rebuild, and cache (store) the rebuilt selected user profile data set within the repository.