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Over the last few years, Autonomic Computing has been a key enabler for Cloud system's dynamic adaptation. However, autonomously managing complex systems (such as in the Cloud context) is not trivial and may quickly become fastidious and error-prone. We advocate that Cloud artifacts, regardless of the layer carrying them, share many common characteristics. Thus, this makes it possible to specify, (re)configure and monitor them in an homogeneous way. To this end, we propose a generic model-baseddoi:10.5220/0006773002010212 dblp:conf/closer/BruneliereAALL18 fatcat:ywr6d3adzrahbjkk75bjcua5pa