Image File Segmentation for Fault Tolerant Deployment
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Solution Overview
Problem
Computer systems face inefficiencies and high maintenance costs due to the lack of effective fault tolerance in image file recovery and deployment, often requiring complete restarts during exceptions, which can be time-consuming and inconvenient.
Innovation Solution
The method involves segmenting image files into multiple segments, recording the segmenting process, and continuing from the last completed segment in case of exceptions, allowing for sequential restoration and deployment without needing to restart from the beginning.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If the image file is restored as a single file, then the restoration process is simple, but the deployment time is long and the system must restart the whole recovery operation in response to any exception situation
Solution Approach 1:
The image file is segmented into multiple image segmented files with manageable sizes. Each segmented file can be restored independently, allowing the system to resume restoration from the last successfully restored segment after an exception, rather than restarting the entire restoration process. This segmentation directly reduces deployment time while maintaining operational simplicity through automated segment management.
2Loss of time
If the image file is segmented into multiple segments, then the deployment time is reduced and exception recovery is improved, but the device complexity increases due to segment management requirements
Solution Approach 1:
The image file is divided into multiple smaller segments that can be processed independently, reducing deployment time and enabling partial restoration after exceptions. The segmentation is performed systematically with each segment being a manageable unit for restoration operations.
Solution Approach 2:
The image file is pre-segmented into multiple segments before the restoration process begins. This preliminary segmentation action enables the system to quickly resume from the last completed segment without complex runtime decisions, reducing both deployment time and operational complexity.
Solution Approach 3:
The system implements feedback mechanisms to track the restoration status of each segment and automatically determine where to resume after an exception. This feedback-driven approach manages the complexity of segmented file restoration by providing automated status tracking and resumption logic.
3Device complexity
If the whole recovery operation is restarted in response to any exception, then the restoration process is simple to implement, but the productivity is low due to repeated work
Solution Approach 1:
By segmenting the image file into multiple independent restoreable units, the system can restart only the failed segment rather than the entire recovery operation. This segmentation enables selective re-execution of only the necessary portions, dramatically improving recovery efficiency while maintaining reasonable implementation complexity.
Solution Approach 2:
The image file is pre-segmented into multiple segments before restoration begins, with each segment prepared for independent restoration. This preliminary preparation enables the system to quickly identify and re-execute only the failed segments after exceptions, improving productivity without requiring complex runtime segmentation logic.
Data Source
AI summary
A computer system and a fault tolerance processing method thereof of image file are provided. In the method, whether to segment the image file is determined. The image file is segmented into multiple image segmented files sequentially, and a segmenting process is recorded in response to determining to segment the image file. The segmenting process relates to a number of a last segmented file. Each time the image file is segmented once, the number of the last segmented file is accumulated. Segmenting the image file is continued according to the segmenting process in response to a segmenting exception situation. On the other hand, the deployment for the image file is performed in conjunction with a record of the current progress during the deployment, so that the deployment also can be continued in response to an interruption of the deployment. Accordingly, efficiency and successful rate can be improved.