Scalable Join Queries in Cloud Data Stores
CCGRID '12 Proceedings of the 2012 12th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (ccgrid 2012)
How consistent is your cloud application?
Proceedings of the Third ACM Symposium on Cloud Computing
Semantic-based transaction model for web service
Information Systems Frontiers
Scalable transactions across heterogeneous NoSQL key-value data stores
Proceedings of the VLDB Endowment
Scalable service-oriented replication with flexible consistency guarantee in the cloud
Information Sciences: an International Journal
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NoSQL cloud data stores provide scalability and high availability properties for web applications, but at the same time they sacrifice data consistency. However, many applications cannot afford any data inconsistency. CloudTPS is a scalable transaction manager which guarantees full ACID properties for multi-item transactions issued by web applications, even in the presence of server failures and network partitions. We implement this approach on top of the two main families of scalable data layers: Bigtable and SimpleDB. Performance evaluation on top of HBase (an open-source version of Bigtable) in our local cluster and Amazon SimpleDB in the Amazon cloud shows that our system scales linearly at least up to 40 nodes in our local cluster and 80 nodes in the Amazon cloud.