Visual Low-Code Language for Orchestrating Large-Scale Distributed Computing

Abstract Distributed, large-scale computing is typically performed using textual general-purpose programming languages. This requires significant skills associated with the parallelisation and distribution of computations. In this paper, we present a visual (graphical) language called Computation Application Language (CAL) to raise abstraction in distributed computing. CAL programs define computation workflows by visualising data flowing between units. The goal reduce amount traditional code needed thus facilitate development even non-professional programmers. follows low-code paradigm, i.e. its implementation (the editor runtime system) available online. We formalise defining syntax metamodel specifying semantics two-step approach. translation into an intermediate which then defined operational formalisation was used develop execution environment. environment orchestrates computations interpreting managing instantiation modules tokens. also explanatory case-study example that shows practical application language.