Amazon S3 for science grids: a viable solution?
DADC '08 Proceedings of the 2008 international workshop on Data-aware distributed computing
Evaluating the cost-benefit of using cloud computing to extend the capacity of clusters
Proceedings of the 18th ACM international symposium on High performance distributed computing
An evaluation of alternative architectures for transaction processing in the cloud
Proceedings of the 2010 ACM SIGMOD International Conference on Management of data
Distributed systems meet economics: pricing in the cloud
HotCloud'10 Proceedings of the 2nd USENIX conference on Hot topics in cloud computing
Runtime measurements in the cloud: observing, analyzing, and reducing variance
Proceedings of the VLDB Endowment
Schedule optimization for data processing flows on the cloud
Proceedings of the 2011 ACM SIGMOD International Conference on Management of data
Towards Pay-As-You-Consume Cloud Computing
SCC '11 Proceedings of the 2011 IEEE International Conference on Services Computing
To move or not to move: the economics of cloud computing
HotCloud'11 Proceedings of the 3rd USENIX conference on Hot topics in cloud computing
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In this paper, we propose to develop a framework to analyze the monetary cost of running database systems in the public cloud. The framework offers guidelines and methodologies in analyzing and estimating monetary cost of database systems. It consists of multiple components including categorizing database performance tuning knobs, benchmarking the price/performance of computation resources offered by the cloud provider, and building a monetary cost model. As a case study of our proposed framework, we conduct an in-depth study on two popular open-source database systems with respect to two cloud providers. We find that evaluating a query spans a wide range of monetary costs (with a difference up to 91%), and the experimental results demonstrate the accuracy of our monetary cost estimation.