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
Towards robust distributed systems (abstract)
Proceedings of the nineteenth annual ACM symposium on Principles of distributed computing
The notions of consistency and predicate locks in a database system
Communications of the ACM
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)
Automating the detection of snapshot isolation anomalies
VLDB '07 Proceedings of the 33rd international conference on Very large data bases
Consistency rationing in the cloud: pay only when it matters
Proceedings of the VLDB Endowment
Quantifying isolation anomalies
Proceedings of the VLDB Endowment
G-Store: a scalable data store for transactional multi key access in the cloud
Proceedings of the 1st ACM symposium on Cloud computing
An evaluation of alternative architectures for transaction processing in the cloud
Proceedings of the 2010 ACM SIGMOD International Conference on Management of data
Malstone: towards a benchmark for analytics on large data clouds
Proceedings of the 16th ACM SIGKDD international conference on Knowledge discovery and data mining
ElasTraS: an elastic transactional data store in the cloud
HotCloud'09 Proceedings of the 2009 conference on Hot topics in cloud computing
CloudCmp: comparing public cloud providers
IMC '10 Proceedings of the 10th ACM SIGCOMM conference on Internet measurement
Towards elastic transactional cloud storage with range query support
Proceedings of the VLDB Endowment
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
Calvin: fast distributed transactions for partitioned database systems
SIGMOD '12 Proceedings of the 2012 ACM SIGMOD International Conference on Management of Data
ConsAD: a real-time consistency anomalies detector
SIGMOD '12 Proceedings of the 2012 ACM SIGMOD International Conference on Management of Data
CloudTPS: Scalable Transactions for Web Applications in the Cloud
IEEE Transactions on Services Computing
Verifying cloud services: present and future
ACM SIGOPS Operating Systems Review
Eventually consistent: not what you were expecting?
Communications of the ACM
Consistency anomalies in multi-tier architectures: automatic detection and prevention
The VLDB Journal — The International Journal on Very Large Data Bases
Eventually Consistent: Not What You Were Expecting?
Queue - Performance
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Current cloud datastores usually trade consistency for performance and availability. However, it is often not clear how an application is affected when it runs under a low level of consistency. In fact, current application designers have basically no tools that would help them to get a feeling of which and how many inconsistencies actually occur for their particular application. In this paper, we propose a generalized approach for detecting consistency anomalies for arbitrary cloud applications accessing various types of cloud datastores in transactional or non-transactional contexts. We do not require any knowledge on the business logic of the studied application nor on its selected consistency guarantees. We experimentally verify the effectiveness of our approach by using the Google App Engine and Cassandra datastores.