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Distributed statistical analysis of complex systems modeled through a chemical metaphor

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)

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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.

Item Type: Conference or Workshop Item (Paper)
Identification Number: 10.1109/HPCSim.2014.6903715
Uncontrolled Keywords: 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
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Research Area: Computer Science and Applications
Depositing User: Caterina Tangheroni
Date Deposited: 12 Feb 2016 13:25
Last Modified: 06 Apr 2016 09:37
URI: http://eprints.imtlucca.it/id/eprint/3067

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