The adoption of cloud computing is increasing due to low costs of infrastructure, as well as having virtually infinite resources available for demand based scaling. The increasing interest in this topic, there is a continuous search for better ways to manage such infrastructures. One of the most recent steps was the development of Function-as-a-Service (FaaS). FaaS is a cloud computing service model where developers can deploy functions to a cloud platform and have them executed based on the triggering of events, or by making HTTP(S) requests. We propose an architecture for deploying FaaS platforms in hybrid clouds that can be composed by multiple cloud providers. This architecture enable privately deployed FaaS platforms to perform auto-scaling of virtual machines in a distributed infrastructure, while considering the scenario where the users of such platform are scattered around the globe. This allows the execution of requests in servers geographically located as close as possible from the client.
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