Scalable database replication through dynamic multiversioning
CASCON '05 Proceedings of the 2005 conference of the Centre for Advanced Studies on Collaborative research
MIDDLE-R: Consistent database replication at the middleware level
ACM Transactions on Computer Systems (TOCS)
Sprint: a middleware for high-performance transaction processing
Proceedings of the 2nd ACM SIGOPS/EuroSys European Conference on Computer Systems 2007
Fault Tolerance via Diversity for Off-the-Shelf Products: A Study with SQL Database Servers
IEEE Transactions on Dependable and Secure Computing
Correctness Criteria for Database Replication: Theoretical and Practical Aspects
OTM '08 Proceedings of the OTM 2008 Confederated International Conferences, CoopIS, DOA, GADA, IS, and ODBASE 2008. Part I on On the Move to Meaningful Internet Systems:
A formal analysis of the deferred update technique
OPODIS'07 Proceedings of the 11th international conference on Principles of distributed systems
Database replication based on group communication: implementation issues
Future directions in distributed computing
Database replication: a tutorial
Replication
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Enterprise applications typically store their state in databases. If a database fails, the application is unavailable while the database recovers. Database recovery is time consuming because it involves replaying the persistent transaction log. T o isolate end-users from database failures, we introduce Pronto, a protocol to orchestrate the transaction processing by multiple, standard databases so that they collectively implement the illusion of a single, highly available database. The key challenge in implementing this illusion is to enable fast failover from one database to another so that database failures do not interrupt the transaction processing. We solve this problem with a novel replication protocol that handles non-determinism without relying on perfect failure detection.