Increasing the resilience of distributed and replicated database systems
Journal of Computer and System Sciences - Fourteenth ACM SIGACT-SIGMOD-SIGART symposium on principles of database systems
Fundamentals of Database Systems
Fundamentals of Database Systems
A Low-Latency Non-blocking Commit Service
DISC '01 Proceedings of the 15th International Conference on Distributed Computing
The Performance of Database Replication with Group Multicast
FTCS '99 Proceedings of the Twenty-Ninth Annual International Symposium on Fault-Tolerant Computing
Using Multicast Communication to Reduce Deadlock in Replicated Databases
SRDS '00 Proceedings of the 19th IEEE Symposium on Reliable Distributed Systems
Comparison of Database Replication Techniques Based on Total Order Broadcast
IEEE Transactions on Knowledge and Data Engineering
Modeling noteworthy events in a geospatial domain
GeoS'05 Proceedings of the First international conference on GeoSpatial Semantics
Failed-tuple triggered blocking strategy for managing near real-time spatial data replication
Proceedings of the 1st International Conference and Exhibition on Computing for Geospatial Research & Application
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The main purpose of this research is to incorporate additional higher-level semantics into the existing data replication strategies in such a way that their flexibility and performance can be improved in favor of both data providers and consumers. The resulting approach from this research is referred to as selective data replication framework. With this framework, the data that has been updated by a data provider is captured and batched into messages known as update notifications. Once update notifications are received by data consumers, they are used to evaluate so-called update policies, which are specified by data consumers containing details on when data replications need to occur and what data needs to be updated during the replications.