Integration of condor with CASE

Simulation modeling requires massive amount of computing power to run thousands/millions of simulations. To acquire this massive amount of computing power, one has to own the infrastructure: a cluster/grid of many cheap computers or an expensive supercomputer. Using a grid of cheap computers over...

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Main Author: Singhal, Ayush.
Other Authors: Cai Wentong
Format: Final Year Project
Language:English
Published: 2012
Subjects:
Online Access:http://hdl.handle.net/10356/48585
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-485852023-03-03T20:54:52Z Integration of condor with CASE Singhal, Ayush. Cai Wentong School of Computer Engineering Parallel and Distributed Computing Centre DRNTU::Engineering::Computer science and engineering::Computing methodologies::Simulation and modeling Simulation modeling requires massive amount of computing power to run thousands/millions of simulations. To acquire this massive amount of computing power, one has to own the infrastructure: a cluster/grid of many cheap computers or an expensive supercomputer. Using a grid of cheap computers over one super computer is preferred because it eliminates the single point of failure, increases scalability by adding another cheap computer to the grid as and when required, and is much more efficient in terms of fault tolerance. With the help of Condor, open source software for high throughput computing, a cluster of computers can be easily established. This project implements a robust Condor pool in the Parallel and Distributed computing Centre (PDCC) in Nanyang Technological University to help parallelize the simulations on the pool to save time. Experiments were performed with various methods to parallelize the given software, complex adaptive system evolver (CASE) to find the best possible method given the constraints. Bachelor of Engineering (Computer Engineering) 2012-04-26T09:11:34Z 2012-04-26T09:11:34Z 2012 2012 Final Year Project (FYP) http://hdl.handle.net/10356/48585 en Nanyang Technological University 75 p. application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic DRNTU::Engineering::Computer science and engineering::Computing methodologies::Simulation and modeling
spellingShingle DRNTU::Engineering::Computer science and engineering::Computing methodologies::Simulation and modeling
Singhal, Ayush.
Integration of condor with CASE
description Simulation modeling requires massive amount of computing power to run thousands/millions of simulations. To acquire this massive amount of computing power, one has to own the infrastructure: a cluster/grid of many cheap computers or an expensive supercomputer. Using a grid of cheap computers over one super computer is preferred because it eliminates the single point of failure, increases scalability by adding another cheap computer to the grid as and when required, and is much more efficient in terms of fault tolerance. With the help of Condor, open source software for high throughput computing, a cluster of computers can be easily established. This project implements a robust Condor pool in the Parallel and Distributed computing Centre (PDCC) in Nanyang Technological University to help parallelize the simulations on the pool to save time. Experiments were performed with various methods to parallelize the given software, complex adaptive system evolver (CASE) to find the best possible method given the constraints.
author2 Cai Wentong
author_facet Cai Wentong
Singhal, Ayush.
format Final Year Project
author Singhal, Ayush.
author_sort Singhal, Ayush.
title Integration of condor with CASE
title_short Integration of condor with CASE
title_full Integration of condor with CASE
title_fullStr Integration of condor with CASE
title_full_unstemmed Integration of condor with CASE
title_sort integration of condor with case
publishDate 2012
url http://hdl.handle.net/10356/48585
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