Session Management Extension via Scheduled Event Detection
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Solution Overview
Problem
Existing session management systems terminate sessions based on predefined timeout values, leading to incorrect terminations and excessive reauthentication requests due to scheduled events, causing network and resource utilization inefficiencies.
Innovation Solution
A system that detects inactivity and determines whether to terminate or extend sessions based on upcoming scheduled events, providing a user interface for confirmation to skip logoff sequences and adjust session timeouts accordingly.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of energy
If sessions are terminated based on predefined timeout values, then resource utilization is improved, but incorrect terminations occur due to scheduled events causing excessive reauthentication requests
Solution Approach 1:
The system performs preliminary actions by detecting scheduled events before the timeout period expires and proactively extending the session to accommodate these events. This prevents incorrect terminations by anticipating user needs based on calendar events, task lists, and reminders, thereby maintaining session continuity without wasting resources on premature termination.
Solution Approach 2:
The system implements feedback mechanisms by continuously monitoring user activity and comparing it against scheduled events. When inactivity is detected, the system checks for upcoming events and adjusts session termination decisions accordingly. This feedback loop ensures that sessions are extended when events are detected and terminated when appropriate, resolving the contradiction between resource efficiency and termination accuracy.
2Productivity
If sessions are extended to accommodate scheduled events, then user productivity is improved, but network traffic and processing overhead increase due to additional authentication attempts
Solution Approach 1:
The system performs preliminary detection of scheduled events and proactively extends sessions before timeout occurs. By anticipating user needs based on calendar events and task lists, the system prevents unnecessary session terminations and reauthentication requests, thereby reducing network traffic while maintaining productivity.
Solution Approach 2:
The system uses user-generated scheduled events (calendar events, task lists, reminders) to automatically make session extension decisions. This self-service approach allows the system to autonomously adjust session management based on user priorities without requiring manual input, reducing overhead while supporting productivity.
3Device complexity
If predefined timeout values are used for session termination, then system simplicity is maintained, but user experience deteriorates due to unnecessary logoffs
Solution Approach 1:
The system performs preliminary detection of scheduled events and proactively extends sessions before timeout. This anticipatory approach prevents unnecessary logoffs that would disrupt user workflow, significantly improving user experience while adding minimal complexity to the session management system.
Solution Approach 2:
The system leverages user-generated scheduled events to automatically adjust session management. By using existing user data (calendar events, task lists) to make extension decisions, the system improves user experience without requiring complex manual configuration or user intervention.
4Reliability
If sessions are terminated on inactivity, then security is improved, but network resources are wasted due to excessive reauthentication requests
Solution Approach 1:
The system implements feedback mechanisms by continuously monitoring user activity and comparing it against scheduled events. When inactivity is detected, the system checks for upcoming events and adjusts session termination decisions accordingly. This feedback loop maintains security by still terminating sessions when appropriate while preventing wasteful terminations when events are detected, thereby reducing network resource waste.
Solution Approach 2:
The system performs preliminary detection of scheduled events before timeout occurs and proactively extends sessions to accommodate these events. This anticipatory approach prevents incorrect terminations that would waste network resources on reauthentication requests while maintaining security through controlled session management.
Data Source
AI summary
Systems and methods for inactivity logoff adjustment based on scheduled events are provided. A device can include one or more processors, coupled to memory. The device can detect a condition to terminate, at a first timestamp, a computing session established by the one or more processors. The device can identify, responsive to detection of the condition and prior to termination of the computing session, an event for execution in the computing session at a second timestamp subsequent to the first timestamp. The device can provide, based on a difference between the second timestamp and the first timestamp less than or equal to a threshold, a user interface element configured to extend the computing session to at least the second timestamp.