A container-based solution to generate HTCondor Batch Systems on demand exploiting heterogeneous Clouds for data analysis

This paper describes the Dynamic On Demand Analysis Service (DODAS), an automated system that simplifies the process of provisioning, creating, managing and accessing a pool of heterogeneous computing and storage resources, by generating clusters to run batch systems thereby implementing the "Batch System as a Service" paradigm. DODAS is built on several INDIGO-DataCloud services among which: the PaaS Orchestrator, the Infrastructure Manager, and the Identity and Access Manager are the most important. The paper describes also a successfully integration of DODAS with the computing infrastructure of the Compact Muon Solenoid (CMS) experiment installed at LHC.