User Data Import Management via Login-Based Deletion
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Solution Overview
Problem
Image forming apparatuses face storage capacity limitations when importing personal setting information, leading to the need for deleting user settings to accommodate new data, which can be burdensome for administrators and may result in incomplete imports due to storage constraints.
Innovation Solution
The information processing apparatus identifies and deletes personal setting information based on last login time and date to manage storage capacity, allowing for the import of new data by prioritizing settings with lower usage, thereby reducing administrative burden and ensuring continuous import operations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If personal setting information is imported for multiple users, then the user base and functionality of the image forming apparatus is improved, but the storage capacity is exceeded and the system becomes unable to accommodate new users
Solution Approach 1:
The system changes the parameter of storage management by dynamically adjusting which user data to retain based on login frequency metrics. By monitoring and evaluating the parameter of user activity (login frequency), the system automatically modifies the storage allocation, deleting data from inactive users to make room for new users without manual administrative intervention.
2Quantity of substance
If manual deletion of user settings is performed to free up storage space, then storage capacity is managed, but administrative workload increases and import operations may be incomplete
Solution Approach 1:
The system performs self-service by automatically identifying and deleting personal setting information of inactive users without requiring administrative intervention. The apparatus autonomously monitors storage capacity, evaluates user login frequency, and executes deletion operations to free up space for new user imports, thereby eliminating the need for manual administrative workload.
Solution Approach 2:
The system performs preliminary actions by pre-deleting inactive user data before new user imports are attempted. By proactively identifying and removing obsolete personal setting information based on login frequency thresholds, the system ensures storage capacity is available in advance for upcoming import operations, preventing incomplete imports.
3Reliability
If all existing personal setting information is retained, then user data completeness is maintained, but new user imports fail due to storage limitations
Solution Approach 1:
The system applies local quality by selectively retaining or deleting user data based on local characteristics of each user's activity pattern. Instead of uniform deletion or retention policies, the system evaluates each user's login frequency individually and applies deletion only to those whose inactivity threshold is met, thereby preserving data completeness for active users while freeing space for new imports.
Data Source
AI summary
A method for importing information regarding a user into an information processing apparatus, the information processing apparatus comprising storage that stores personal setting information corresponding to a user that uses the information processing apparatus, and last login time and date of a user that uses the information processing apparatus, includes receiving an import instruction of data including at least one piece of user information, and personal setting information associated with the user information, and identifying, when executing import processing based on the data in response to the import instruction, a user whose personal setting information is to be deleted, based on last login time and date stored in the storage, and deleting personal setting information stored in the storage in association with the identified user so that the personal setting information does not reach a registration upper limit after import.