An adaptive data replication algorithm
ACM Transactions on Database Systems (TODS)
Replication and consistency: being lazy helps sometimes
PODS '97 Proceedings of the sixteenth ACM SIGACT-SIGMOD-SIGART symposium on Principles of database systems
Replication, consistency, and practicality: are these mutually exclusive?
SIGMOD '98 Proceedings of the 1998 ACM SIGMOD international conference on Management of data
Synchronization in Distributed Programs
ACM Transactions on Programming Languages and Systems (TOPLAS)
Time, clocks, and the ordering of events in a distributed system
Communications of the ACM
Performance Modelling of Communication Networks and Computer Architectures (International Computer S
Performance Modelling of Communication Networks and Computer Architectures (International Computer S
Response times in a two-node queueing network with feedback
Performance Evaluation
Analysis of Replication in Distributed Database Systems
IEEE Transactions on Knowledge and Data Engineering
Performance Analysis of Long-Lived Transaction Processing Systems with Rollbacks and Aborts
IEEE Transactions on Knowledge and Data Engineering
Performance Modeling of Distributed and Replicated Databases
IEEE Transactions on Knowledge and Data Engineering
Data management issues in mobile and peer-to-peer environments
Data & Knowledge Engineering - DKE 40
Minimisation of the update response time in a distributed database system
Performance Evaluation
Epidemic Algorithms for Replicated Databases
IEEE Transactions on Knowledge and Data Engineering
Optimization of the Number of Copies in a Distributed Data Base
IEEE Transactions on Software Engineering
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In distributed database systems, replication is the most widely used approach to offering high data availability, increased fault tolerance, and improved scalability of the overall system. However, the primary concern with this technique is not only to provide high availability and reliability but also to boost the performance of data replication, i.e. to minimize response time and maximize throughput. We propose an analytical model for asynchronous replication technique (ART) by copying the data and replicating it to remote sites on a continuous basis. A remote copy of the data is created at a subsequent time after the primary copy is updated. The model is based on the M/G/1 queuing system by taking into account intersite communication between sites in the systems.