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
Group communication specifications: a comprehensive study
ACM Computing Surveys (CSUR)
Database Systems: The Complete Book
Database Systems: The Complete Book
The Database State Machine Approach
Distributed and Parallel Databases
Don't Be Lazy, Be Consistent: Postgres-R, A New Way to Implement Database Replication
VLDB '00 Proceedings of the 26th International Conference on Very Large Data Bases
Cache Fusion: Extending Shared-Disk Clusters with Shared Caches
Proceedings of the 27th International Conference on Very Large Data Bases
Fault Diversity among Off-The-Shelf SQL Database Servers
DSN '04 Proceedings of the 2004 International Conference on Dependable Systems and Networks
Postgres-R(SI): Combining Replica Control with Concurrency Control Based on Snapshot Isolation
ICDE '05 Proceedings of the 21st International Conference on Data Engineering
A Pragmatic Protocol for Database Replication in Interconnected Clusters
PRDC '06 Proceedings of the 12th Pacific Rim International Symposium on Dependable Computing
Proceedings of the 1st ACM SIGOPS/EuroSys European Conference on Computer Systems 2006
C-JDBC: flexible database clustering middleware
ATEC '04 Proceedings of the annual conference on USENIX Annual Technical Conference
A Probabilistic Analysis of Snapshot Isolation with Partial Replication
SRDS '08 Proceedings of the 2008 Symposium on Reliable Distributed Systems
Predicting replicated database scalability from standalone database profiling
Proceedings of the 4th ACM European conference on Computer systems
Group-Based replication of on-line transaction processing servers
LADC'05 Proceedings of the Second Latin-American conference on Dependable Computing
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Many rely now on public cloud infrastructure-as-a-service for database servers, mainly, by pushing the limits of existing pooling and replication software to operate large shared-nothing virtual server clusters. Yet, it is unclear whether this is still the best architectural choice, namely, when cloud infrastructure provides seamless virtual shared storage and bills clients on actual disk usage. This paper addresses this challenge with Resilient Asynchronous Commit (RAsC), an improvement to awell-known shared-nothing design based on the assumption that a much larger number of servers is required for scale than for resilience. Then we compare this proposal to other database server architectures using an analytical model focused on peak throughput and conclude that it provides the best performance/cost trade-off while at the same time addressing a wide range of fault scenarios.