P-SAM: A Post-Simulation Analysis Module for agent-based models

S. M.Niaz Arifin, Ryan C. Kennedy, Kelly E. Lane, Agustín Fuentes, Hope Hollocher, Gregory R. Madey

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Scopus citations

Abstract

Agent-Based Models (ABMs) can produce large volumes of textual output, often in the range of hundreds of gigabytes. To understand the simulation results and patterns exhibited by ABMs, it is crucial to be able to analyze this voluminous output, and to produce the desired visualization. In this paper, we describe a software module, called P-SAM (Post-Simulation Analysis Module), developed for post-simulation output analysis and visualization. As a case study, we describe its application to a biological simulation model. The P-SAM architecture and its major strengths are discussed.We also describe its performance improvements, achieved iteratively over three phases. We conclude with future directions to generalize PSAM for other biological simulations.

Original languageEnglish (US)
Title of host publicationSummer Computer Simulation Conference, SCSC 2010 - Proceedings of the 2010 Summer Simulation Multiconference, SummerSim 2010
Pages350-357
Number of pages8
Edition1 BOOK
StatePublished - 2010
Externally publishedYes
EventSummer Computer Simulation Conference, SCSC 2010, Part of the 2010 Summer Simulation Multiconference, SummerSim 2010 - Ottawa, ON, Canada
Duration: Jul 12 2010Jul 14 2010

Publication series

NameSummer Computer Simulation Conference, SCSC 2010 - Proceedings of the 2010 Summer Simulation Multiconference, SummerSim 2010
Number1 BOOK

Conference

ConferenceSummer Computer Simulation Conference, SCSC 2010, Part of the 2010 Summer Simulation Multiconference, SummerSim 2010
Country/TerritoryCanada
CityOttawa, ON
Period7/12/107/14/10

All Science Journal Classification (ASJC) codes

  • Modeling and Simulation

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