Larcher, ThomasDhungana, DeepakLambers, LeenBonorden, LeifHenning, Sören2024-02-142024-02-142024https://dl.gi.de/handle/20.500.12116/43514To keep the serverless functions lightweight, a significant portion of the computing is typically offloaded to already pre-trained AI-based Backend-as-a-Service (BaaS) cloud services, such as speech recognition. The recent rise of federated serverless computing offers cost and performance advantages for these BaaS-enabled serverless workflows by deploying them across different cloud providers. However, due to the lack of interoperability among cloud providers, many challenges remain to setup the BaaS-enabled serverless workflows in federated serverless infrastructures.enCode OnceRun Everywhere.CORE: Code Once, Run Everywhere. Engineering Serverless Workflow Applications with High-Level of AbstractionText/Conference Paper10.18420/sw2024-ws_17