eprintid: 1697 rev_number: 11 eprint_status: archive userid: 6 dir: disk0/00/00/16/97 datestamp: 2013-09-12 11:13:50 lastmod: 2016-07-13 10:47:18 status_changed: 2013-09-12 11:13:50 type: monograph metadata_visibility: show creators_name: Pianini, Danilo creators_name: Sebastio, Stefano creators_name: Vandin, Andrea creators_id: creators_id: stefano.sebastio@imtlucca.it creators_id: andrea.vandin@imtlucca.it title: Statistical analysis of chemical computational systems with MULTIVESTA and ALCHEMIST ispublished: submitted subjects: QA75 divisions: CSA full_text_status: public monograph_type: working_paper abstract: The chemical-oriented approach is an emerging paradigm for programming the behaviour 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 tool addressing the statistical analysis of such a kind of systems, which 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 distributed statistical analysis capabilities, while the latter is an efficient simulator for chemical-oriented computational systems. The tool is validated against a crowd steering scenario, and insights on the performance are provided by discussing how these scale distributing the analysis tasks on a multi-core architecture. date: 2013-09 number: pages: 8 institution: IMT Institute for Advanced Studies Lucca citation: Pianini, Danilo and Sebastio, Stefano and Vandin, Andrea Statistical analysis of chemical computational systems with MULTIVESTA and ALCHEMIST. Working Paper # /2013 (Submitted) document_url: http://eprints.imtlucca.it/1697/1/Pianini_Sebastio_Vandin_WP_2013.pdf