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Simulation of Large Scale Computational Ecosystems with Alchemist: A Tutorial

Abstract : Many interesting systems in several disciplines can be modeled as networks of nodes that can store and exchange data: pervasive systems, edge computing scenarios, and even biological and bio-inspired systems. These systems feature inherent complexity, and often simulation is the preferred (and sometimes the only) way of investigating their behavior; this is true both in the design phase and in the verification and testing phase. In this tutorial paper, we provide a guide to the simulation of such systems by leveraging Alchemist, an existing research tool used in several works in the literature. We introduce its meta-model and its extensible architecture; we discuss reference examples of increasing complexity; and we finally show how to configure the tool to automatically execute multiple repetitions of simulations with different controlled variables, achieving reliable and reproducible results.
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Submitted on : Tuesday, October 19, 2021 - 10:53:12 AM
Last modification on : Monday, October 3, 2022 - 10:22:06 AM
Long-term archiving on: : Thursday, January 20, 2022 - 6:36:59 PM


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Danilo Pianini. Simulation of Large Scale Computational Ecosystems with Alchemist: A Tutorial. 21th IFIP International Conference on Distributed Applications and Interoperable Systems (DAIS), Jun 2021, Valletta, Malta. pp.145-161, ⟨10.1007/978-3-030-78198-9_10⟩. ⟨hal-03384853⟩



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