File System Design Elements
User Interface and Interaction
Permissions & Security Considerations
Accounting and Resource Management
Reliability and Backup Strategies
Data Layout and Storage Performance
File System Compression and Logging
Functions: read, write, seek, create
Naming: Hierarchical directory structure
User Interface: Easy navigation
Permissions: rwxrwxrwx (Read, Write, Execute)
Accounting: Maintenance of quotas
Reliability: Uses log-based structures
Backup: Full and incremental back-ups
Security: Encryption at file and volume levels
Resilience: Overcoming failures
Data Layout: Organizational structure of data
Blocking & Unit of Storage: Storage management
Performance: Attuned to specific hardware (e.g., SSD optimization)
Versioning: Mechanisms that allow file recovery
Basic Implementation: Underlying coding structure
Compression: Techniques like Zlib on file level
API: read, write, seek, create
Structure: Hierarchical directory
Permissions: rwxrwxrwx
Accounting: quotas for resource usage
Reliability: log-based architecture
Backup: supports full and incremental changes
Security: encryption at both file and volume level
Resilience: Innovative recovery options
Data Layout and Performance: Optimized for SSD
Versioning: Integrated with Time Machine
Basic Implementation: Zlib for compression at the file level
API: read, write, seek, create
Directory Structure: Hierarchical
Permissions: rwxrwxrwx
Accounting: quotas
Reliability: mirroring and RAID-Z features
Backup: full/incremental changes
Security: block-level encryption
Resilience and Performance: Advanced storage management
Versioning: Snapshot functionality
Basic Implementation: block-level compression strategies
Implements a simplistic file system without complex naming
Allows control for upper software layers
Maintains attributes: location, size, modified dates, user info, protection
Files allocated in contiguous storage blocks
Pros: Fast read/write operations
Cons: Disk space fragmentation; challenging for file growth
Files form linked lists of blocks
Pros: Adapts easily for file size changes; avoids fragmentation
Cons: Slower random access due to traversal requirements
Used approach with a separate table for links between blocks
Facilitates organized block management
Uses multiple indexing strategies for access
Efficient management and retrieval of files
I-nodes (index nodes) hold information per file: user ID, last accessed, modified dates, protection bits, type, size
Bit Vectors: Simple approach using bits for block availability
Linked Lists: Chains all free blocks in a list for management
Challenges: Managing metadata and efficiency concerns
Files with "holes" allowing efficient storage of data
Challenges implementation via sequence or linked allocations
Size isn't uniform (e.g., Linux, APFS)
Trade-offs between performance, efficiency, storage capacity
Allocating files in consecutive groups for efficiency.
Employed by modern file systems like EXT4, APFS
Utilize low latency features of SSDs.
Use compression to minimize data writes.
Implement TRIM commands for enhanced performance.
File names mapped to inodes in a directed acyclic graph
Special names: use '/'; support hard and soft links
Hard links let files share the same inode references
Soft links indicate symbolic naming, allowing pointers to files
Care must be taken to avoid cycles in naming structures
Challenges with sequential file updates leading to inconsistencies
Power failures can disrupt operations creating corruption
Log operations sequentially to track actions taken in the file system
Write "commit" records post-operation, ensuring data accuracy
Need for compatibility with existing systems
Replication of efforts needs managed to avoid write amplifications
Check logs for current states
Confirm discrepancies and correct using logged operations
Resource management for logs critical
Balancing write durability versus read performance
Measuring impacts on throughput and accuracy with logging strategies.