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21st International Workshop on Principles of Advanced and Distributed Simulation (PADS'07)
SimBA: A Discrete Event Simulator for Performance Prediction of Volunteer Computing Projects
San Diego, California, USA
June 12-June 15
ISBN: 0-7695-2898-8
ASCII Text
x 
 
Michela Taufer, Andre Kerstens, Trilce Estrada, David Flores, Patricia J. Teller, "SimBA: A Discrete Event Simulator for Performance Prediction of Volunteer Computing Projects," Parallel and Distributed Simulation, Workshop on, pp. 189-197, 21st International Workshop on Principles of Advanced and Distributed Simulation (PADS'07), 2007.
 
 
BibTex
x
 
@article{ 10.1109/PADS.2007.27,
author = {Michela Taufer and Andre Kerstens and Trilce Estrada and David Flores and Patricia J. Teller},
title = {SimBA: A Discrete Event Simulator for Performance Prediction of Volunteer Computing Projects},
journal ={Parallel and Distributed Simulation, Workshop on},
volume = {0},
year = {2007},
isbn = {0-7695-2898-8},
pages = {189-197},
doi = {http://doi.ieeecomputersociety.org/10.1109/PADS.2007.27},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Parallel and Distributed Simulation, Workshop on
TI - SimBA: A Discrete Event Simulator for Performance Prediction of Volunteer Computing Projects
SN - 0-7695-2898-8
SP189
EP197
A1 - Michela Taufer,
A1 - Andre Kerstens,
A1 - Trilce Estrada,
A1 - David Flores,
A1 - Patricia J. Teller,
PY - 2007
KW - null
VL - 0
JA - Parallel and Distributed Simulation, Workshop on
ER -
 
Michela Taufer, University of Texas at El Paso, USA
Andre Kerstens, University of Texas at El Paso, USA
Trilce Estrada, University of Texas at El Paso, USA
David Flores, University of Texas at El Paso, USA
Patricia J. Teller, University of Texas at El Paso, USA
SimBA (Simulator of BOINC Applications) is a discrete event simulator that models the main functions of BOINC, which is a well-known framework used in Volunteer Computing (VC) projects. SimBA simulates the generation and distribution of tasks that are executed in a highly volatile, heterogeneous, and distributed environment as well as the collection and validation of completed tasks.

To understand the strengths and weaknesses of BOINC under distinct scenarios, project designers want to study and quantify project performance without negatively affecting people in the VC community. Although this is not possible on production systems, it is possible using SimBA, which is capable of testing a wide range of hypotheses in a short period of time. Our experience to date indicates that SimBA is a reliable tool for performance prediction of VC projects. Preliminary results show that SimBA?s predictions of Predictor@ Home performance are within approximately 5% of the performance reported by this BOINC project.

Citation:
Michela Taufer, Andre Kerstens, Trilce Estrada, David Flores, Patricia J. Teller, "SimBA: A Discrete Event Simulator for Performance Prediction of Volunteer Computing Projects," pads, pp.189-197, 21st International Workshop on Principles of Advanced and Distributed Simulation (PADS'07), 2007
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