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H. Truong, S. Dustdar:
"Composable cost estimation and monitoring for computational applications in cloud computing environments";
Procedia Computer Science, Volume 1, Issue 1 (2010), ISSN: 1877-0509; 2175 - 2184.

With the o er from cloud computing providers, scientists have the opportunity to utilize pay-as-you-go resources
together with their own and shared resources. However, scientists need to decide which parts of their applications
should be executed in cloud computing systems in order to balance the trade-o between cost, time and resource
requirements. In this paper, we present a service for estimating, monitoring and analyzing costs associated with
scientific applications in the cloud. Cost models associated with di erent application execution models are proposed
and these cost models can be composed to determine costs of di erent scenarios. We present techniques to estimate
costs for service dependency and to monitor costs associated with typical scientific applications. Experiments with
real-world applications are performed to illustrate the usefulness of our techniques. Our service could eventually be
integrated into cloud resource management and execution services to support on-the-fly resource scheduling.

cloud computing, cost monitoring, cost analysis, cost estimation, scientific applications

http://dx.doi.org/10.1016/j.procs.2010.04.243

Project Head Reinhard Pichler:
Service-orientierte Datenintegration