Dive into a practical, message-based approach to coordinating updates across distributed databases.
This book presents a feasible method for implementing queued transactions in a distributed database system. It explains how a central coordinator and shared data pools help manage commits, histories, and recovery while allowing read-only operations to run with minimal interference. The approach emphasizes replication, fault tolerance, and scalable coordination to reduce overhead and improve performance.
- Understand the idea of queued, message-based transaction processing and its benefits over traditional locking.
- Learn how committed transaction lists and commit sequence numbers support consistent updates across sites.
- See how blocking and coordination strategies can improve throughput for time-critical or long transactions.
- Explore recovery, site failures, and backup concepts that help maintain a robust distributed DBMS.
Ideal for database professionals and students seeking a clear, structured view of distributed transaction processing and replication strategies presented in this edition.