Parallel database systems: open problems and new issues
Distributed and Parallel Databases - Special issue: Research topics in distributed and parallel databases
Holistic schedulability analysis for distributed hard real-time systems
Microprocessing and Microprogramming - Parallel processing in embedded real-time systems
The dangers of replication and a solution
SIGMOD '96 Proceedings of the 1996 ACM SIGMOD international conference on Management of data
Replication, consistency, and practicality: are these mutually exclusive?
SIGMOD '98 Proceedings of the 1998 ACM SIGMOD international conference on Management of data
Principles of distributed database systems (2nd ed.)
Principles of distributed database systems (2nd ed.)
Fault-tolerant broadcasts and related problems
Distributed systems (2nd Ed.)
Replica Consistency in Lazy Master Replicated Databases
Distributed and Parallel Databases
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
Parallel Processing with Autonomous Databases in a Cluster System
On the Move to Meaningful Internet Systems, 2002 - DOA/CoopIS/ODBASE 2002 Confederated International Conferences DOA, CoopIS and ODBASE 2002
DISC '98 Proceedings of the 12th International Symposium on Distributed Computing
Optimistic Total Order in Wide Area Networks
SRDS '02 Proceedings of the 21st IEEE Symposium on Reliable Distributed Systems
Improving the Scalability of Fault-Tolerant Database Clusters
ICDCS '02 Proceedings of the 22 nd International Conference on Distributed Computing Systems (ICDCS'02)
Partial Replication in the Database State Machine
NCA '01 Proceedings of the IEEE International Symposium on Network Computing and Applications (NCA'01)
Ganymed: scalable replication for transactional web applications
Proceedings of the 5th ACM/IFIP/USENIX international conference on Middleware
Postgres-R(SI): Combining Replica Control with Concurrency Control Based on Snapshot Isolation
ICDE '05 Proceedings of the 21st International Conference on Data Engineering
Middleware based data replication providing snapshot isolation
Proceedings of the 2005 ACM SIGMOD international conference on Management of data
Consistency Management for Partial Replication in a High Performance Database Cluster
ICPADS '05 Proceedings of the 11th International Conference on Parallel and Distributed Systems - Volume 01
Scaling up the preventive replication of autonomous databases in cluster systems
VECPAR'04 Proceedings of the 6th international conference on High Performance Computing for Computational Science
Pronto: High availability for standard off-the-shelf databases
Journal of Parallel and Distributed Computing
Fault-Tolerant Partial Replication in Large-Scale Database Systems
Euro-Par '08 Proceedings of the 14th international Euro-Par conference on Parallel Processing
P2P logging and timestamping for reconciliation
Proceedings of the VLDB Endowment
Adaptive hybrid partitioning for OLAP query processing in a database cluster
International Journal of High Performance Computing and Networking
DTR: Distributed Transaction Routing in a Large Scale Network
High Performance Computing for Computational Science - VECPAR 2008
Database replication in large scale systems: optimizing the number of replicas
Proceedings of the 2009 EDBT/ICDT Workshops
TransPeer: adaptive distributed transaction monitoring for Web2.0 applications
Proceedings of the 2010 ACM Symposium on Applied Computing
ADC '13 Proceedings of the Twenty-Fourth Australasian Database Conference - Volume 137
Live linked data: synchronising semantic stores with commutative replicated data types
International Journal of Metadata, Semantics and Ontologies
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In a database cluster, preventive replication can provide strong consistency without the limitations of synchronous replication. In this paper, we present a full solution for preventive replication that supports multi-master and partial configurations, where databases are partially replicated at different nodes. To increase transaction throughput, we propose an optimization that eliminates delay at the expense of a few transaction aborts and we introduce concurrent replica refreshment. We describe large-scale experimentation of our algorithm based on our RepDB* prototype (http://www.sciences.univ-nantes.fr./lina/ATLAS/RepDB) over a cluster of 64 nodes running the PostgreSQL DBMS. Our experimental results using the TPC-C Benchmark show that the proposed approach yields excellent scale-up and speed-up.