Concurrency control and recovery in database systems
Concurrency control and recovery in database systems
Conflict detection tradeoffs for replicated data
ACM Transactions on Database Systems (TODS)
An introduction to assertional reasoning for concurrent systems
ACM Computing Surveys (CSUR)
A critique of ANSI SQL isolation levels
SIGMOD '95 Proceedings of the 1995 ACM SIGMOD international conference on Management of data
The dangers of replication and a solution
SIGMOD '96 Proceedings of the 1996 ACM SIGMOD international conference on Management of data
A new approach to developing and implementing eager database replication protocols
ACM Transactions on Database Systems (TODS)
Group communication specifications: a comprehensive study
ACM Computing Surveys (CSUR)
Non-Intrusive, Parallel Recovery of Replicated Data
SRDS '02 Proceedings of the 21st IEEE Symposium on Reliable Distributed Systems
Understanding Replication in Databases and Distributed Systems
ICDCS '00 Proceedings of the The 20th International Conference on Distributed Computing Systems ( ICDCS 2000)
Using Optimistic Atomic Broadcast in Transaction Processing Systems
IEEE Transactions on Knowledge and Data Engineering
HICSS '05 Proceedings of the Proceedings of the 38th Annual Hawaii International Conference on System Sciences - Volume 09
Database Replication Using Generalized Snapshot Isolation
SRDS '05 Proceedings of the 24th IEEE Symposium on Reliable Distributed Systems
A closer look at database replication middleware architectures for enterprise applications
TEAA'06 Proceedings of the 2nd international conference on Trends in enterprise application architecture
A protocol for reconciling recovery and high-availability in replicated databases
ISCIS'06 Proceedings of the 21st international conference on Computer and Information Sciences
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Database replication is a way to increase system performance and fault-tolerance of a given system. The price to pay is the effort needed to guarantee data consistency, and this is not an easy task. In this paper, we introduce a description of two 1-Copy-Serializable (1CS) eager update everywhere replication protocols. The preliminary results of their implementation in a middleware architecture are also presented. The advantage of these replication protocols is that they do not need to re-implement features that are provided by the underlying database. The first one does not rely on strong group communication primitives; distributed deadlock is avoided by a deadlock prevention schema based on transaction priorities (whose information is totally local at each node). The second one manages replica consistency by the total order message delivery featured by Group Communication Systems (GCSs).