An increasing number of companies make use of Cloud
Computing services in order to reduce costs and increase
flexibility of their IT infrastructure. This has enlivened a debate
on the benefits and risks of Cloud Computing, among both
practitioners and researchers. This study applies quantitative
content analysis to explore the Cloud Computing ecosystem. The
analyzed data comprises high quality research articles and
practitioner-oriented articles from magazines and web sites. We
apply n-grams and the cluster algorithm k-means to analyze the
literature. The contribution of this paper is twofold: First, it
identifies the key terms and topics that are part of the Cloud
Computing ecosystem which we aggregated to a comprehensive
model. Second, this paper discloses the sentiments of key topics
as reflected in articles from both practice and academia.