relation: http://eprints.imtlucca.it/3067/ title: Distributed statistical analysis of complex systems modeled through a chemical metaphor creator: Pianini, Danilo creator: Sebastio, Stefano creator: Vandin, Andrea subject: QA75 Electronic computers. Computer science description: The chemical-inspired programming approach is an emerging paradigm for defining the behavior of densely distributed and context-aware devices (e.g., in ecosystems of displays tailored to crowd steering, or to obtain profile-based coordinated visualization). Typically, the evolution of such systems cannot be easily predicted, thus making of paramount importance the availability of techniques and tools supporting prior-to-deployment analysis. Exact analysis techniques do not scale well when the complexity of systems grows: as a consequence, approximated techniques based on simulation assumed a relevant role. This work presents a new simulation-based distributed analysis tool addressing the statistical analysis of such a kind of systems. The tool has been obtained by chaining two existing tools: MultiVeSta and Alchemist. The former is a recently proposed lightweight tool which allows to enrich existing discrete event simulators with automated and distributed statistical analysis capabilities, while the latter is an efficient simulator for chemical-inspired computational systems. The tool is validated against a crowd steering scenario, and insights on the performance are provided by discussing how the analysis tasks scale on a multi-core architecture. publisher: IEEE date: 2014-07 type: Conference or Workshop Item type: PeerReviewed identifier: Pianini, Danilo and Sebastio, Stefano and Vandin, Andrea Distributed statistical analysis of complex systems modeled through a chemical metaphor. In: 2014 International Conference on High Performance Computing Simulation (HPCS), July 21-25, 2014, Bologna pp. 416-423. ISBN 978-1-4799-5312-7. (2014) relation: http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6903715 relation: 10.1109/HPCSim.2014.6903715