Cloud Data Saving System with Local Fallback and Auto-Transfer
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Solution Overview
Problem
When a connection failure occurs with a cloud service, existing methods require users to manually monitor and reconfigure settings, leading to inefficiencies and potential missed deadlines in data processing tasks, especially in workflows that require timely execution.
Innovation Solution
An information processing system that saves data in an alternative apparatus when a cloud service connection fails, and once the failure is resolved, uses saved destination information to facilitate data transfer to the correct cloud service destination, allowing for automatic notification and processing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If data is saved in the cloud service after connection failure is resolved, then data can be saved to the correct destination, but there is a risk that data is not saved to the correct destination when saving destination information changes during the failure period
Solution Approach 1:
The system performs preliminary actions by notifying the user of connection failures and storing data locally in advance. When the connection is restored, the system automatically transmits the stored data to the cloud service, eliminating the need for user intervention and ensuring data is saved to the correct destination even if destination information changes during the failure period.
Solution Approach 2:
The system implements feedback by monitoring connection status and automatically responding when the connection is restored. The notification unit informs users of connection failures, and when connectivity returns, the system automatically transmits stored data to the cloud service, creating a closed-loop system that ensures reliable data saving without user intervention.
2Ease of operation
If manual monitoring and reconfiguration is required after cloud service failure, then user control is maintained, but user effort increases and deadlines may be missed
Solution Approach 1:
The system performs self-service by automatically detecting connection failures, storing data locally, and transmitting it to the cloud service when connectivity is restored. The notification unit informs users of the automated process, but no user intervention is required for data transmission, significantly reducing user effort while maintaining full automation and ensuring deadlines are met.
3Loss of information
If connection failure is detected and user notification is provided, then user awareness is improved, but additional processing steps are required
Solution Approach 1:
The notification unit serves as an intermediary between the connection status monitoring system and the user. It provides clear information about connection failures and automated data transmission, bridging the gap between system operations and user awareness without requiring complex user actions or additional processing steps.
Data Source
AI summary
An information processing system includes at least one processor, wherein when a failure has occurred in a connection with a cloud service and a user has given an instruction to save data in the cloud service, the at least one processor saves the data in an apparatus other than the cloud service, and after the failure has been solved, using saving destination information indicating at least one saving destination held by the cloud service, the at least one processor performs processing for saving the data in any of the at least one saving destination of the cloud service.