Brief Announcement: Generative Markov Model for Distributed Computing Systems

ArXi:2606.03061v1 Announce Type: cross Emerging distributed computing paradigms, such as the computing continuum, are inherently heterogeneous, stochastic, and complex. Efficiently and effectively utilizing all available resources across the continuum demands a unified formal model of the system. To address this gap, we propose a general framework for modeling distributed computing systems as a generative Marko model, factorized over a structured system state.