Adaptive Save Interval for Collaborative Document Consistency
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Solution Overview
Problem
The complexity of automatically saving electronic documents during collaborative editing increases due to the need to manage both local user activity and external user activity, while ensuring consistency across shared storage systems and network connectivity.
Innovation Solution
A save protocol is implemented that determines a save interval based on both local user activity and external user activity, considering performance specifications of the client computer, server computer, shared storage, and network, to adaptively manage the saving process across devices and networks.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If automatic saving is implemented during collaborative editing, then document consistency is improved, but system complexity increases
Solution Approach 1:
The save interval is made dynamic rather than fixed. The system automatically adjusts the save interval based on real-time monitoring of user activity levels, network conditions, and system performance metrics. During periods of high collaborative activity, the save interval decreases to maintain consistency, while during low-activity periods, it increases to reduce system overhead and complexity.
Solution Approach 2:
The system changes the parameter of save frequency based on detected conditions. When external user activity increases or network performance degrades, the system automatically modifies the save interval parameter to optimize between document consistency and system resource consumption, thereby managing complexity while maintaining reliability.
2Reliability
If save interval is decreased to maintain document consistency, then document consistency is improved, but network bandwidth consumption increases
Solution Approach 1:
The system implements periodic saving with variable intervals rather than continuous or fixed periodic saving. The save operation occurs at dynamically determined intervals based on the interplay between document consistency requirements and network bandwidth availability. This allows the system to batch saves during low-activity periods when bandwidth is available, rather than constantly consuming bandwidth.
Solution Approach 2:
The system incorporates feedback mechanisms that monitor network bandwidth consumption and adjust save behavior accordingly. When network bandwidth is constrained, the system receives feedback and increases the save interval to reduce bandwidth consumption. When bandwidth is abundant, the system decreases the interval to improve document consistency, creating a self-regulating mechanism that balances both objectives.
3Productivity
If save interval is increased to reduce network traffic, then network efficiency is improved, but document consistency deteriorates
Solution Approach 1:
The save interval dynamically adapts to external user activity levels. When the collaboration system detects high external user activity, it automatically decreases the save interval to maintain document consistency across all users' devices. When external activity is low, the interval increases to improve network efficiency. This dynamic adjustment ensures consistency is maintained only when necessary.
Solution Approach 2:
The system changes the save interval parameter in response to detected external user activity and network conditions. By monitoring collaboration system data about external edits, the system adjusts the save frequency parameter to balance network efficiency with the need for consistency, saving more frequently when others are editing and less frequently when the document is stable.
4Productivity
If adaptive save interval is implemented based on user activity, then productivity is improved, but device complexity increases
Solution Approach 1:
The application implements self-service mechanisms by automatically monitoring its own usage patterns and adjusting save behavior without user intervention. The system tracks local user activity, receives feedback from the collaboration system about external activity, and autonomously determines optimal save intervals. This self-adjusting capability improves productivity while keeping the user interface simple, as users do not need to configure save parameters manually.
Data Source
AI summary
To manage complexity related to automatically saving an electronic document while the electronic document is collaboratively edited, an end user application running on a local client computer, while participating in collaborative editing of a shared electronic document, is configured to automatically save the electronic document based on both local user activity and external user activity received from a collaboration system on a server computer. The collaboration system implements a save protocol that maintains consistency of the electronic document among the shared storage, remote client computers and the local client computer. The local client computer determines a save interval based on information about external user activity through the server computer, the activity of a user of the end user application on the local client computer. The performance specifications for local and shared storage and the computer network also can be considered.