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Leveraging Simulation Practice in Industry through use of Desktop Grid Middleware

Leveraging Simulation Practice in Industry through use of Desktop Grid Middleware

Navonil Mustafee, Simon J.E. Taylor
Copyright: © 2009 |Pages: 25
ISBN13: 9781605663647|ISBN10: 1605663646|EISBN13: 9781605663654
DOI: 10.4018/978-1-60566-364-7.ch006
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MLA

Mustafee, Navonil, and Simon J.E. Taylor. "Leveraging Simulation Practice in Industry through use of Desktop Grid Middleware." Grid Technology for Maximizing Collaborative Decision Management and Support: Advancing Effective Virtual Organizations, edited by Nik Bessis, IGI Global, 2009, pp. 105-129. https://doi.org/10.4018/978-1-60566-364-7.ch006

APA

Mustafee, N. & Taylor, S. J. (2009). Leveraging Simulation Practice in Industry through use of Desktop Grid Middleware. In N. Bessis (Ed.), Grid Technology for Maximizing Collaborative Decision Management and Support: Advancing Effective Virtual Organizations (pp. 105-129). IGI Global. https://doi.org/10.4018/978-1-60566-364-7.ch006

Chicago

Mustafee, Navonil, and Simon J.E. Taylor. "Leveraging Simulation Practice in Industry through use of Desktop Grid Middleware." In Grid Technology for Maximizing Collaborative Decision Management and Support: Advancing Effective Virtual Organizations, edited by Nik Bessis, 105-129. Hershey, PA: IGI Global, 2009. https://doi.org/10.4018/978-1-60566-364-7.ch006

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Abstract

The computational grid offers services for efficiently scheduling jobs on the grid, but for grid-enabled applications where data handling is a most relevant part, the data grid kicks in. It typically builds on the concept of files, sites and file transfers between sites. These use a data transfer service, plus a replica manager to keep track of where replicas are located. The authors consider a multi-site, grid-aware data warehouse, which is a large distributed repository sharing a schema and data concerning scientific or business domains. Differently from typical grid scenarios, the data warehouse is not simply a set of files and accesses to individual files. It is a single distributed schema and both localized and distributed computations must be managed over that schema. Given this difference, it is important to study approaches for placement and computation over the grid data warehouse and this is our contribution in this book chapter.

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