One of the main promises of the cloud computing paradigm is the ability to scale resources on-demand. This feature characterizes the cloud era, where the overhead of early expenditure for infrastructure is eliminated. Innovative services are thus able to enter the market quicker and adopt faster to new challenges and user demand. One of the main aspects of this on-demand nature is the concept of elasticity, i.e., the ability of autonomously provision and de-provision resources by reacting to

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... nges in the incoming load. An elastic service is able to operate with an optimal cost by expanding and contracting its used resources at runtime and according to demand. This does not only minimizes running cost, but also avoids disruptive outages due to spikes in service usage. While the various layers comprising a cloud service can be scaled, this does not happen in a unified manner. The vision of CELAR is to provide a fully integrated software stack that manages resource allocation for cloud applications in an autonomous, efficient and generic manner. In order to achieve that, CELAR incorporates novel methodologies for describing cloud applications, monitoring the use of various resources, evaluating cost, taking informed decisions and interacting with the underlying cloud infrastructure. Our goal is two-fold. On the one hand is developing the methodologies for achieving multi-grained, automatic elasticity control on both application and infrastructure level. On the other hand is developing the open-source tools that implement those methods in an integrated manner. Hereby we present an overview of the CELAR platform, explaining its architectural components and some basic workflows that show how they interact in order to achieve the core functionalities.