You're working on an embedded system with limited storage capacity. How would you optimize the file system to minimize storage overhead and maximize performance?
- Implement a compressed file system to reduce the storage footprint of files while maintaining accessibility and performance.
- Implement a log-structured file system that sequentially writes data to reduce fragmentation and improve write performance.
- Use block-level storage allocation to minimize wasted space and allocate storage based on actual file size requirements.
- Utilize data deduplication techniques to identify and eliminate duplicate data blocks, reducing storage redundancy and optimizing available space.
Optimizing the file system in an embedded system with limited storage involves reducing storage overhead and maximizing performance. Implementing a compressed file system reduces the storage footprint, maintaining accessibility and performance. This approach is particularly effective in scenarios where space is limited. While block-level storage allocation reduces wasted space, data deduplication eliminates duplicate data blocks, and log-structured file systems improve write performance, they may not be as effective in addressing storage overhead in limited storage environments as compression techniques.
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