Instabooks AI (AI Author)
Distributed Data Horizons
A Journey into the World of Distributed File Systems
Premium AI Book - 200+ pages
Table of Contents
1. The Foundations of Distributed Systems- Understanding Basic Principles
- Evolution of File Systems
- Key Characteristics of Distribution
2. Architecture and Design
- Components and Topologies
- Scalability and Fault Tolerance
- Design Patterns for Distribution
3. Networking Essentials
- Communication Protocols
- Data Synchronization
- Handling Network Partitions
4. Storage Mechanisms
- File Allocation Strategies
- Metadata Management
- Data Caching Techniques
5. Distributed File Systems Protocols
- NFS and SMB in Focus
- Emerging Protocols Analysis
- Protocol Security and Performance
6. Consistency and Replication
- Consistency Models Explained
- Replication Strategies
- Achieving Atomicity and Durability
7. Handling Big Data
- Distributed Frameworks
- MapReduce and Beyond
- Data Lakes and Distributed Analytics
8. Security in Distributed Systems
- Encryption and Access Control
- Addressing Vulnerabilities
- Trusted Execution Environments
9. Performance Tuning
- Benchmarking and Monitoring
- Performance Optimization
- Balancing Workloads
10. Case Studies
- Real-world Implementations
- Lessons from Industry Giants
- Small-scale Success Stories
11. The Future of Distributed File Systems
- Current Trends and Predictions
- The Role of AI and Machine Learning
- Impact of Emerging Technologies
12. Building Your Own Distributed File System
- Planning and Design Considerations
- Selecting the Right Tools
- Testing and Deployment
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