Chord: A scalable peer-to-peer lookup service for internet applications
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Transaction Processing: Concepts and Techniques
Transaction Processing: Concepts and Techniques
Database Replication Techniques: A Three Parameter Classification
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The Piazza peer data management project
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ACM SIGMOD Record
A survey of peer-to-peer content distribution technologies
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ICPADS '05 Proceedings of the 11th International Conference on Parallel and Distributed Systems - Volume 01
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CCGRID '04 Proceedings of the 2004 IEEE International Symposium on Cluster Computing and the Grid
MIDDLE-R: Consistent database replication at the middleware level
ACM Transactions on Computer Systems (TOCS)
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SIGMCC: A system for sharing meta patient records in a Peer-to-Peer environment
Future Generation Computer Systems
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Proceedings of the 2010 ACM Symposium on Applied Computing
Failure-Tolerant Transaction Routing at Large Scale
DBKDA '10 Proceedings of the 2010 Second International Conference on Advances in Databases, Knowledge, and Data Applications
Transaction processing in a peer to peer database network
Data & Knowledge Engineering
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IEEE Communications Surveys & Tutorials
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Using large-scale infrastructures such as grid or p2p systems for enhancing database replication performances is a tremendous solution because it avoids bottlenecks and single point of failure. One of the widely used replication policies is master-slave configuration which eases consistency control since all update operations are handled on a particular node, called master, whereas read operations are routed on remaining nodes. This approach improves read operations performances (i.e. low latency and high throughput) and therefore is well suited for read-intensive applications such as web 2.0 applications. However, replicating data on a large-scale system is very challenging due to nodes dynamicity that can compromise consistency and availability. To face this problem, we propose a dynamic data replication model, which manages efficiently nodes in such a way that consistency is always kept and data is available for read or write operations. To this end, we rely on the estimated lifetime of nodes in order to manage master node failures in a preventive fashion. Simulation results obtained show the feasibility of our approach and its positive impact on the global performances of the system.