Course Title: Distributed Database Systems
Course Overview:
Distributed Database Systems is a course that explores the principles, architecture, and implementation of databases distributed across multiple sites. Students will learn about the challenges and solutions associated with managing and querying distributed data, including data distribution, consistency, replication, and fault tolerance.
Course Objectives:
Understand the architecture and components of distributed database systems.
Learn about data distribution and replication strategies.
Study consistency models and concurrency control mechanisms.
Explore query processing and optimization in distributed environments.
Gain practical experience in designing and managing distributed databases.
Understand fault tolerance, recovery, and security in distributed systems.
Course Outline:
Introduction to Distributed Databases
Definition and importance of distributed database systems
Comparison with centralized database systems
Applications and use cases of distributed databases
Distributed Database Architecture
Components of distributed database systems
Client-server and peer-to-peer architectures
Distributed database design considerations
Data Distribution and Fragmentation
Data fragmentation techniques (horizontal, vertical, hybrid)
Allocation and distribution strategies
Trade-offs in data distribution
Data Replication
Replication methods (synchronous vs. asynchronous)
Consistency issues in data replication
Replication protocols and algorithms
Consistency and Concurrency Control
Consistency models (strong consistency, eventual consistency)
Concurrency control mechanisms (locking, timestamp ordering)
Distributed transactions and two-phase commit protocol
Query Processing and Optimization
Query decomposition and data localization
Query optimization techniques in distributed environments
Distributed join algorithms and cost-based optimization
Fault Tolerance and Recovery
Fault tolerance mechanisms in distributed databases
Recovery techniques and protocols
Handling network partitioning and data integrity
Security in Distributed Databases
Security challenges in distributed systems
Authentication and authorization mechanisms
Data encryption and secure communication
Distributed Database Management Systems (DDBMS)
Overview of popular DDBMS (e.g., Google Spanner, Amazon Aurora, Cassandra)
Features and capabilities of different DDBMS
Use cases and performance considerations
Case Studies and Emerging Trends
Case studies of distributed database implementations
NoSQL and NewSQL databases
Emerging trends and future directions in distributed databases
Assessment Methods:
Programming assignments and projects involving distributed database systems.
Quizzes and exams covering theoretical concepts and practical skills.
Analysis of case studies and research papers on distributed databases.
Final project demonstrating comprehensive application of course concepts.
Textbook:
“Principles of Distributed Database Systems” by M. Tamer Özsu and Patrick Valduriez
References:
“Distributed Systems: Principles and Paradigms” by Andrew S. Tanenbaum and Maarten Van Steen
Online resources and tutorials on distributed database technologies and tools
Admission Open for this course
Contact Number: 03307615544