Concurrency control and recovery in database systems
Concurrency control and recovery in database systems
Concepts and experiments in computational reflection
OOPSLA '87 Conference proceedings on Object-oriented programming systems, languages and applications
A framework for partitionable membership service
PODC '96 Proceedings of the fifteenth annual ACM symposium on Principles of distributed computing
ACM SIGOPS Operating Systems Review
Database Systems: The Complete Book
Database Systems: The Complete Book
Reliable Distributed Computing with the ISIS Toolkit
Reliable Distributed Computing with the ISIS Toolkit
The Database State Machine Approach
Distributed and Parallel Databases
Semantically Reliable Multicast: Definition, Implementation, and Performance Evaluation
IEEE Transactions on Computers
Don't Be Lazy, Be Consistent: Postgres-R, A New Way to Implement Database Replication
VLDB '00 Proceedings of the 26th International Conference on Very Large Data Bases
Scalable Replication in Database Clusters
DISC '00 Proceedings of the 14th International Conference on Distributed Computing
A Low Latency, Loss Tolerant Architecture and Protocol for Wide Area Group Communication
DSN '00 Proceedings of the 2000 International Conference on Dependable Systems and Networks (formerly FTCS-30 and DCCA-8)
DISC '98 Proceedings of the 12th International Symposium on Distributed Computing
Selecting a "Primary Partition" in Partitionable Asynchronous Distributed Systems
SRDS '97 Proceedings of the 16th Symposium on Reliable Distributed Systems
SRDS '00 Proceedings of the 19th IEEE Symposium on Reliable Distributed Systems
Optimistic Total Order in Wide Area Networks
SRDS '02 Proceedings of the 21st IEEE Symposium on Reliable Distributed Systems
An Indulgent Uniform Total Order Algorithm with Optimistic Delivery
SRDS '02 Proceedings of the 21st IEEE Symposium on Reliable Distributed Systems
Totally ordered multicast in large-scale systems
ICDCS '96 Proceedings of the 16th International Conference on Distributed Computing Systems (ICDCS '96)
Improving the Scalability of Fault-Tolerant Database Clusters
ICDCS '02 Proceedings of the 22 nd International Conference on Distributed Computing Systems (ICDCS'02)
Appia: A Flexible Protocol Kernel Supporting Multiple Coordinated Channels
ICDCS '01 Proceedings of the The 21st International Conference on Distributed Computing Systems
The ensemble system
Handling message semantics with Generic Broadcast protocols
Distributed Computing
Total order broadcast and multicast algorithms: Taxonomy and survey
ACM Computing Surveys (CSUR)
Middleware based data replication providing snapshot isolation
Proceedings of the 2005 ACM SIGMOD international conference on Management of data
DSN '05 Proceedings of the 2005 International Conference on Dependable Systems and Networks
From spontaneous total order to uniform total order: different degrees of optimistic delivery
Proceedings of the 2006 ACM symposium on Applied computing
Revisiting 1-copy equivalence in clustered databases
Proceedings of the 2006 ACM symposium on Applied computing
Lightweight Reflection for Middleware-based Database Replication
SRDS '06 Proceedings of the 25th IEEE Symposium on Reliable Distributed Systems
On Statistically Estimated Optimistic Delivery in Wide-Area Total Order Protocols
PRDC '06 Proceedings of the 12th Pacific Rim International Symposium on Dependable Computing
C-JDBC: flexible database clustering middleware
ATEC '04 Proceedings of the annual conference on USENIX Annual Technical Conference
A High Throughput Atomic Storage Algorithm
ICDCS '07 Proceedings of the 27th International Conference on Distributed Computing Systems
AKARA: A Flexible Clustering Protocol for Demanding Transactional Workloads
OTM '08 Proceedings of the OTM 2008 Confederated International Conferences, CoopIS, DOA, GADA, IS, and ODBASE 2008. Part I on On the Move to Meaningful Internet Systems:
Group-Based replication of on-line transaction processing servers
LADC'05 Proceedings of the Second Latin-American conference on Dependable Computing
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This chapter illustrates how the concepts and algorithms described earlier in this book can be used to build practical database replication systems. This is achieved first by addressing architectural challenges on how required functionality is provided by generally available software componentes and then how different components can be efficiently integrated. A second set of practical challenges arises from experience on how performance assumptions map to actual environments and real workloads. The result is a generic architecture for replicated database management systems, focusing on the interfaces between key components, and then on how different algorithmic and practical optimization options map to real world gains. This shows how consistent database replication is achievable in the current state of the art.