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Variability Modelling for Elastic Scaling in Cloud Computing

Elasticity is an increasingly important characteristic for cloud computing environments, in particular for those that are deployed in dynamically changing environments. The purpose is to let the systems react and adapt the workload on its current and additional (in an autonomic manner) hardware and software resources. In this paper, we propose an approach that allows the combination of variability and reusability for modelling elasticity. The used approach is based on self-adaptive systems and feature modelling into a single solution. We show the feasibility of the proposed model through Znn.com scenario.