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Abstract:The operation of large scale information systems requires investment into hardware infrastructure and causes running cost for keeping it in a productive state. This especially applies in an enterprise environment where also expenses for software licenses costs or penalties for downtime occur. The deployment of software influences these costs both in their amount and their composition. In order to optimize them a transparent view on these costs and the deployment is mandatory. In this paper, we present a conceptual model of deployment. The model is populated by reverse engineering of deployment descriptors but as well uses runtime traces and usage profiles. We envision -having both made explicit on an architectural level -a comprehensive decision making and optimization of software deployment.