TY  - CONF
N2  - 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.
SP  - 416
M2  - Bologna
A1  - Pianini, Danilo
A1  - Sebastio, Stefano
A1  - Vandin, Andrea
SN  - 978-1-4799-5312-7
PB  - IEEE
UR  - http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6903715
AV  - none
TI  - Distributed statistical analysis of complex systems modeled through a chemical metaphor
Y1  - 2014/07//
KW  - 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
T2  - 2014 International Conference on High Performance Computing Simulation (HPCS)
EP  - 423
ID  - eprints3067
ER  -