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Trust, Virtual Teams, and Grid Technology

Trust, Virtual Teams, and Grid Technology

Genoveffa Jeni Giambona, Nicholas L.J. Silburn, David W. Birchall
Copyright: © 2009 |Pages: 16
ISBN13: 9781605663647|ISBN10: 1605663646|EISBN13: 9781605663654
DOI: 10.4018/978-1-60566-364-7.ch007
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MLA

Giambona, Genoveffa Jeni, et al. "Trust, Virtual Teams, and Grid Technology." Grid Technology for Maximizing Collaborative Decision Management and Support: Advancing Effective Virtual Organizations, edited by Nik Bessis, IGI Global, 2009, pp. 131-146. https://doi.org/10.4018/978-1-60566-364-7.ch007

APA

Giambona, G. J., Silburn, N. L., & Birchall, D. W. (2009). Trust, Virtual Teams, and Grid Technology. In N. Bessis (Ed.), Grid Technology for Maximizing Collaborative Decision Management and Support: Advancing Effective Virtual Organizations (pp. 131-146). IGI Global. https://doi.org/10.4018/978-1-60566-364-7.ch007

Chicago

Giambona, Genoveffa Jeni, Nicholas L.J. Silburn, and David W. Birchall. "Trust, Virtual Teams, and Grid Technology." In Grid Technology for Maximizing Collaborative Decision Management and Support: Advancing Effective Virtual Organizations, edited by Nik Bessis, 131-146. Hershey, PA: IGI Global, 2009. https://doi.org/10.4018/978-1-60566-364-7.ch007

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Abstract

This chapter focuses on the collaborative use of computing resources to support decision making in industry. Through the use of middleware for desktop grid computing, the idle CPU cycles available on existing computing resources can be harvested and used for speeding-up the execution of applications that have “non-trivial” processing requirements. This chapter focuses on the desktop grid middleware BOINC and Condor, and discusses the integration of commercial simulation software together with free-to-download grid middleware so as to offer competitive advantage to organizations that opt for this technology. It is expected that the low-intervention integration approach presented in this chapter (meaning no changes to source code required) will appeal to both simulation practitioners (as simulations can be executed faster, which in turn would mean that more replications and optimization are possible in the same amount of time) and management (as it can potentially increase the return on investment on existing resources).

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