%0 Conference Paper
%A Pianini, Danilo
%A Sebastio, Stefano
%A Vandin, Andrea
%B 2014 International Conference on High Performance Computing Simulation (HPCS)
%C Bologna
%D 2014
%F eprints:3067
%I IEEE
%K Discrete event simulation; Distributed programming; Multiprocessing systems; Statistical analysis; Alchemist tool; MultiVeSta tool; Chemical metaphor; Chemical-inspired computational systems; Complex systems; Context-aware devices; Densely distributed devices
%P 416-423
%T Distributed statistical analysis of complex systems modeled through a chemical metaphor
%U http://eprints.imtlucca.it/3067/
%X 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.