The following keywords have been assigned to this publication so far. If you have logged in,
you can tag this publication with additional keywords.
If you log in you can tag this publication with additional keywords
A publication can refer to another publication (outgoing references) or it can be referred to by other
publications (incoming references).
If you log in you can add references to other publications
A publication can be assigned to a conference, a journal or a school.
Cloud computing promises a number of advantages for the deployment of data-intensive applications. One important promise is reduced cost with a pay-as-you-go business model. Another promise is (virtually) unlimited throughput by adding servers if the workload increases. This paper lists alternative architectures to effect cloud computing for database applications and reports on the results of a comprehensive evaluation of existing commercial cloud services that have adopted these architectures. The focus of this work is on transaction processing (i.e., read and update workloads), rather than analytics or OLAP workloads, which have recently gained a great deal of attention. The results are surprising in several ways. Most importantly, it seems that all major vendors have adopted a different architecture for their cloud services. As a result, the cost and performance of the services vary significantly depending on the workload.