An architecture framework for application-managed scaling of cloud-hosted relational databases
Proceedings of the WICSA/ECSA 2012 Companion Volume
An architecture for overlaying private clouds on public providers
Proceedings of the 8th International Conference on Network and Service Management
On evaluating commercial Cloud services: A systematic review
Journal of Systems and Software
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One major obstacle to enterprise adoption of cloud technologies has been the lack of visibility into migration effort and cost. In this paper, we present a methodology, called Cloud Migration Point (CMP), for estimating the size of cloud migration projects, by recasting a well-known software size estimation model called Function Point (FP) into the context of cloud migration. We empirically evaluate our CMP model by performing a cross-validation on six different small-scale cloud migration projects and show that our size estimation model can be used as a reliable predictor for effort estimation. Furthermore, we prove that our CMP model satisfies the fundamental properties of a software size measure.