eprintid: 3067
rev_number: 6
eprint_status: archive
userid: 69
dir: disk0/00/00/30/67
datestamp: 2016-02-12 13:25:31
lastmod: 2016-04-06 09:37:22
status_changed: 2016-02-12 13:25:31
type: conference_item
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: Distributed statistical analysis of complex systems modeled through a chemical metaphor
ispublished: pub
subjects: QA75
divisions: CSA
full_text_status: none
pres_type: paper
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
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.
date: 2014-07
publisher: IEEE
pagerange: 416-423
event_title: 2014 International Conference on High Performance Computing Simulation (HPCS)
event_location: Bologna
event_dates: July 21-25, 2014
event_type: conference
id_number: 10.1109/HPCSim.2014.6903715
refereed: TRUE
isbn: 978-1-4799-5312-7
book_title: 2014 International Conference on High Performance Computing & Simulation (HPCS)
official_url: http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6903715
citation:   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)