Parametric, Probabilistic, Timed Resource Discovery System
Camille Coti (LIPN, CNRS UMR 7030, Universit\'e Paris 13)

TL;DR
This paper introduces a distributed resource discovery and reservation system modeled with probabilistic timed automata, highlighting the challenges in parameter synthesis for such complex models.
Contribution
It presents a semi-formal, probabilistic, timed model of a distributed resource system, addressing the complexity of parameter synthesis.
Findings
Model is timed, parametric, and probabilistic.
Highlights challenges in parameter synthesis.
Provides a foundation for verifying distributed resource systems.
Abstract
This paper presents a fully distributed resource discovery and reservation system. Verification of such a system is important to ensure the execution of distributed applications on a set of resources in appropriate conditions. A semi-formal model for his system is presented using probabilistic timed automata. This model is timed, parametric and probabilistic, making it a challenge to the parameter synthesis community.
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