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)
Full text not available from this repository.Abstract
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: | https://doi.org/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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