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Speeding up simulation applications using WinGrid

Nav Mustafee, Simon J. E Taylor

Concurrency and Computation: Practice and Experience, Volume: 21, Issue: 11, Pages: 1504 - 1523

Swansea University Author: Nav Mustafee

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DOI (Published version): 10.1002/cpe.1401

Abstract

<p><span>The vision of grid computing is to make computational power, storage capacity, data and applications available to users as readily as electricity and other utilities. Grid infrastructures and applications have traditionally been geared towards dedicated, centralized, high-perfor...

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Published in: Concurrency and Computation: Practice and Experience
ISSN: 1532-0626 1532-0634
Published: John Wiley & Sons, Ltd 2009
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URI: https://cronfa.swan.ac.uk/Record/cronfa6670
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fullrecord <?xml version="1.0"?><rfc1807><datestamp>2011-10-01T00:00:00.0000000</datestamp><bib-version>v2</bib-version><id>6670</id><entry>2012-01-18</entry><title>Speeding up simulation applications using WinGrid</title><swanseaauthors><author><sid>f86f8478d152e1dc527e840f185a2f80</sid><firstname>Nav</firstname><surname>Mustafee</surname><name>Nav Mustafee</name><active>true</active><ethesisStudent>false</ethesisStudent></author></swanseaauthors><date>2012-01-18</date><abstract>&lt;p&gt;&lt;span&gt;The vision of grid computing is to make computational power, storage capacity, data and applications available to users as readily as electricity and other utilities. Grid infrastructures and applications have traditionally been geared towards dedicated, centralized, high-performance clusters running on UNIX &amp;lsquo;flavour&amp;rsquo; operating systems (commonly referred to as cluster-based grid computing). This can be contrasted with desktop-based grid computing that refers to the aggregation of non-dedicated, de-centralized, commodity PCs connected through a network and running (mostly) the Microsoft Windows operating system. Large-scale adoption of such Windows-based grid infrastructure may be facilitated via grid enabling existing Windows applications. This paper presents the WinGrid approach to grid-enabling existing Windows-based commercial-off-the-shelf simulation packages (CSPs). Through the use of two case studies developed in conjunction with a major automotive company and a leading investment bank, respectively, the contribution of this paper is the demonstration of how experimentation with the CSP Witness (Lanner Group) and the CSP Analytics (SunGard Corporation) can achieve speedup when using WinGrid middleware on both dedicated and non-dedicated grid nodes. It is hoped that this research would facilitate wider acceptance of desktop grid computing among enterprises interested in a low-intervention technological solution to speeding up their existing simulations.&lt;/span&gt;&lt;/p&gt;</abstract><type>Journal Article</type><journal>Concurrency and Computation: Practice and Experience</journal><volume>21</volume><journalNumber>11</journalNumber><paginationStart>1504</paginationStart><paginationEnd>1523</paginationEnd><publisher>John Wiley &amp; Sons, Ltd</publisher><placeOfPublication/><issnPrint>1532-0626</issnPrint><issnElectronic>1532-0634</issnElectronic><keywords>grid computing, desktop grids, grid middleware, commercial-off-the-shelf simulation packages, discrete-event simulation, Monte Carlo simulation</keywords><publishedDay>31</publishedDay><publishedMonth>12</publishedMonth><publishedYear>2009</publishedYear><publishedDate>2009-12-31</publishedDate><doi>10.1002/cpe.1401</doi><url>http://onlinelibrary.wiley.com/doi/10.1002/cpe.1401/abstract</url><notes>Regarding inclusion of this paper for REF: "Concurrency and Computation: Practice and Experience" is a computing journal and is therefore not included in the ABS list. The research presented in this paper is however cross-disciplinary. According to the REF document titled "Assessment framework and guidance on submissions" (Document No: REF 02.2011; Published: July 2011; Available: http://www.hefce.ac.uk/research/ref/pubs/2011/02_11/02_11.pdf [last accessed 18 Jan, 2012]), cross-disciplinary work can be submitted under the main sub-panel (in this case, "Business and Management"), and there exists a suitable mechanism for assessing of such cross-disciplinary work. To quote from the aforementioned publication, "While a submission will normally be assessed only by the sub-panel for the UOA in which it is submitted, mechanisms will be retained to crossrefer parts of submissions to other sub-panels for advice where the relevant main and sub-panel chairs advise that this is necessary" (page 15, document no: REF 02.2011).</notes><college>COLLEGE NANME</college><CollegeCode>COLLEGE CODE</CollegeCode><institution>Swansea University</institution><apcterm/><lastEdited>2011-10-01T00:00:00.0000000</lastEdited><Created>2012-01-18T22:56:49.9670000</Created><path><level id="1">Faculty of Humanities and Social Sciences</level><level id="2">School of Management - Business Management</level></path><authors><author><firstname>Nav</firstname><surname>Mustafee</surname><order>1</order></author><author><firstname>Simon J. E</firstname><surname>Taylor</surname><order>2</order></author></authors><documents/><OutputDurs/></rfc1807>
spelling 2011-10-01T00:00:00.0000000 v2 6670 2012-01-18 Speeding up simulation applications using WinGrid f86f8478d152e1dc527e840f185a2f80 Nav Mustafee Nav Mustafee true false 2012-01-18 <p><span>The vision of grid computing is to make computational power, storage capacity, data and applications available to users as readily as electricity and other utilities. Grid infrastructures and applications have traditionally been geared towards dedicated, centralized, high-performance clusters running on UNIX &lsquo;flavour&rsquo; operating systems (commonly referred to as cluster-based grid computing). This can be contrasted with desktop-based grid computing that refers to the aggregation of non-dedicated, de-centralized, commodity PCs connected through a network and running (mostly) the Microsoft Windows operating system. Large-scale adoption of such Windows-based grid infrastructure may be facilitated via grid enabling existing Windows applications. This paper presents the WinGrid approach to grid-enabling existing Windows-based commercial-off-the-shelf simulation packages (CSPs). Through the use of two case studies developed in conjunction with a major automotive company and a leading investment bank, respectively, the contribution of this paper is the demonstration of how experimentation with the CSP Witness (Lanner Group) and the CSP Analytics (SunGard Corporation) can achieve speedup when using WinGrid middleware on both dedicated and non-dedicated grid nodes. It is hoped that this research would facilitate wider acceptance of desktop grid computing among enterprises interested in a low-intervention technological solution to speeding up their existing simulations.</span></p> Journal Article Concurrency and Computation: Practice and Experience 21 11 1504 1523 John Wiley & Sons, Ltd 1532-0626 1532-0634 grid computing, desktop grids, grid middleware, commercial-off-the-shelf simulation packages, discrete-event simulation, Monte Carlo simulation 31 12 2009 2009-12-31 10.1002/cpe.1401 http://onlinelibrary.wiley.com/doi/10.1002/cpe.1401/abstract Regarding inclusion of this paper for REF: "Concurrency and Computation: Practice and Experience" is a computing journal and is therefore not included in the ABS list. The research presented in this paper is however cross-disciplinary. According to the REF document titled "Assessment framework and guidance on submissions" (Document No: REF 02.2011; Published: July 2011; Available: http://www.hefce.ac.uk/research/ref/pubs/2011/02_11/02_11.pdf [last accessed 18 Jan, 2012]), cross-disciplinary work can be submitted under the main sub-panel (in this case, "Business and Management"), and there exists a suitable mechanism for assessing of such cross-disciplinary work. To quote from the aforementioned publication, "While a submission will normally be assessed only by the sub-panel for the UOA in which it is submitted, mechanisms will be retained to crossrefer parts of submissions to other sub-panels for advice where the relevant main and sub-panel chairs advise that this is necessary" (page 15, document no: REF 02.2011). COLLEGE NANME COLLEGE CODE Swansea University 2011-10-01T00:00:00.0000000 2012-01-18T22:56:49.9670000 Faculty of Humanities and Social Sciences School of Management - Business Management Nav Mustafee 1 Simon J. E Taylor 2
title Speeding up simulation applications using WinGrid
spellingShingle Speeding up simulation applications using WinGrid
Nav Mustafee
title_short Speeding up simulation applications using WinGrid
title_full Speeding up simulation applications using WinGrid
title_fullStr Speeding up simulation applications using WinGrid
title_full_unstemmed Speeding up simulation applications using WinGrid
title_sort Speeding up simulation applications using WinGrid
author_id_str_mv f86f8478d152e1dc527e840f185a2f80
author_id_fullname_str_mv f86f8478d152e1dc527e840f185a2f80_***_Nav Mustafee
author Nav Mustafee
author2 Nav Mustafee
Simon J. E Taylor
format Journal article
container_title Concurrency and Computation: Practice and Experience
container_volume 21
container_issue 11
container_start_page 1504
publishDate 2009
institution Swansea University
issn 1532-0626
1532-0634
doi_str_mv 10.1002/cpe.1401
publisher John Wiley & Sons, Ltd
college_str Faculty of Humanities and Social Sciences
hierarchytype
hierarchy_top_id facultyofhumanitiesandsocialsciences
hierarchy_top_title Faculty of Humanities and Social Sciences
hierarchy_parent_id facultyofhumanitiesandsocialsciences
hierarchy_parent_title Faculty of Humanities and Social Sciences
department_str School of Management - Business Management{{{_:::_}}}Faculty of Humanities and Social Sciences{{{_:::_}}}School of Management - Business Management
url http://onlinelibrary.wiley.com/doi/10.1002/cpe.1401/abstract
document_store_str 0
active_str 0
description <p><span>The vision of grid computing is to make computational power, storage capacity, data and applications available to users as readily as electricity and other utilities. Grid infrastructures and applications have traditionally been geared towards dedicated, centralized, high-performance clusters running on UNIX &lsquo;flavour&rsquo; operating systems (commonly referred to as cluster-based grid computing). This can be contrasted with desktop-based grid computing that refers to the aggregation of non-dedicated, de-centralized, commodity PCs connected through a network and running (mostly) the Microsoft Windows operating system. Large-scale adoption of such Windows-based grid infrastructure may be facilitated via grid enabling existing Windows applications. This paper presents the WinGrid approach to grid-enabling existing Windows-based commercial-off-the-shelf simulation packages (CSPs). Through the use of two case studies developed in conjunction with a major automotive company and a leading investment bank, respectively, the contribution of this paper is the demonstration of how experimentation with the CSP Witness (Lanner Group) and the CSP Analytics (SunGard Corporation) can achieve speedup when using WinGrid middleware on both dedicated and non-dedicated grid nodes. It is hoped that this research would facilitate wider acceptance of desktop grid computing among enterprises interested in a low-intervention technological solution to speeding up their existing simulations.</span></p>
published_date 2009-12-31T03:08:11Z
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score 11.036334

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