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)
Group communication specifications: a comprehensive study
ACM Computing Surveys (CSUR)
The GlobData Fault-Tolerant Replicated Distributed Object Database
EurAsia-ICT '02 Proceedings of the First EurAsian Conference on Information and Communication Technology
Improving the Scalability of Fault-Tolerant Database Clusters
ICDCS '02 Proceedings of the 22 nd International Conference on Distributed Computing Systems (ICDCS'02)
Using Optimistic Atomic Broadcast in Transaction Processing Systems
IEEE Transactions on Knowledge and Data Engineering
Total order broadcast and multicast algorithms: Taxonomy and survey
ACM Computing Surveys (CSUR)
MADIS: a slim middleware for database replication
Euro-Par'05 Proceedings of the 11th international Euro-Par conference on Parallel Processing
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Middleware data replication techniques are a way to increase performance and fault tolerance without modifying the internals of a DBMS. However, they introduce overheads that may lead to poor response times. In this paper a modification of the O2PL protocol is introduced. It orders conflicting transactions by using their priority, instead of the total order obtained by an atomic multicast. Priorities are also used to avoid deadlocks. For improving its performance, it does not use the strict 2PC rule as O2PL does. We provide a formal correctness proof of its 1-Copy Serializability (1CS). This protocol has been implemented, and a comparison with other already implemented protocols is also given.