Please use this identifier to cite or link to this item:
Title: Integration of condor with CASE
Authors: Singhal, Ayush.
Keywords: DRNTU::Engineering::Computer science and engineering::Computing methodologies::Simulation and modeling
Issue Date: 2012
Abstract: 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.
Schools: School of Computer Engineering 
Research Centres: Parallel and Distributed Computing Centre 
Rights: Nanyang Technological University
Fulltext Permission: restricted
Fulltext Availability: With Fulltext
Appears in Collections:SCSE Student Reports (FYP/IA/PA/PI)

Files in This Item:
File Description SizeFormat 
  Restricted Access
1.38 MBAdobe PDFView/Open

Page view(s)

Updated on Sep 28, 2023


Updated on Sep 28, 2023

Google ScholarTM


Items in DR-NTU are protected by copyright, with all rights reserved, unless otherwise indicated.