A critique of ANSI SQL isolation levels
SIGMOD '95 Proceedings of the 1995 ACM SIGMOD international conference on Management of data
Introduction to algorithms
Generalized Isolation Level Definitions
ICDE '00 Proceedings of the 16th International Conference on Data Engineering
Semantic Conditions for Correctness at Different Isolation Levels
ICDE '00 Proceedings of the 16th International Conference on Data Engineering
Making snapshot isolation serializable
ACM Transactions on Database Systems (TODS)
Real-time quantification and classification of consistency anomalies in multi-tier architectures
ICDE '11 Proceedings of the 2011 IEEE 27th International Conference on Data Engineering
How consistent is your cloud application?
Proceedings of the Third ACM Symposium on Cloud Computing
Consistency anomalies in multi-tier architectures: automatic detection and prevention
The VLDB Journal — The International Journal on Very Large Data Bases
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In this demonstration, we present ConsAD, a tool that detects consistency anomalies for arbitrary multi-tier applications that use lower levels of isolation than serializability. As the application is running, ConsAD detects and quantifies anomalies indicating exactly the transactions and data items involved. Furthermore, it classifies the detected anomalies into patterns showing the business methods involved as well as their occurrence frequency. ConsAD can guide designers to either choose an isolation level for which their application shows few anomalies or change their transaction design to avoid the anomalies. Its graphical interface shows detailed information about detected anomalies as they occur and analyzes their patterns as well as their distribution.