Useful Links
Computer Science
Distributed Systems
Distributed Database Systems
1. Fundamentals of Distributed Systems
2. Distributed Database Architecture
3. Data Distribution Design
4. Distributed Query Processing
5. Distributed Transaction Management
6. Reliability and Recovery in Distributed Systems
7. Data Replication and Consistency
8. Modern Distributed Data Architectures
9. Distributed Database Security
10. Performance and Optimization
11. Emerging Trends and Future Directions
Data Distribution Design
Design Methodologies
Top-Down Design
Global Schema Design
Fragmentation and Allocation
Requirements Analysis
Bottom-Up Design
Integration of Existing Databases
Schema Mapping
Federated Approach
Mixed Design Approach
Data Fragmentation
Reasons for Fragmentation
Improved Performance
Locality of Access
Security and Privacy
Parallel Processing
Correctness Rules of Fragmentation
Completeness
Reconstruction
Disjointness
Types of Fragmentation
Horizontal Fragmentation
Primary Horizontal Fragmentation
Derived Horizontal Fragmentation
Fragmentation Predicates
Vertical Fragmentation
Attribute Partitioning
Reconstruction via Joins
Primary Key Handling
Mixed Fragmentation
Combination of Horizontal and Vertical
Fragment Trees
Fragmentation Algorithms
Horizontal Fragmentation Algorithms
Vertical Fragmentation Algorithms
Cost-Based Fragmentation
Data Allocation
Allocation Strategies
Centralized Allocation
Partitioned Allocation
Replicated Allocation
Full Replication
Partial Replication
Factors in Allocation Decisions
Data Access Patterns
Communication Costs
Storage Costs
Reliability and Availability Requirements
Update Frequency
Site Capabilities
Network Topology
Allocation Algorithms
Static Allocation
Dynamic Allocation
Optimal Allocation Models
Previous
2. Distributed Database Architecture
Go to top
Next
4. Distributed Query Processing