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https://doi.org/10.2498/cit.1001122

A Niched Pareto GA Approach for Scheduling Scientific Workflows in Wireless Grids

V.Vasudevan Vasudevan
Shajulin Benedict

Puni tekst: engleski, pdf (407 KB) str. 101-108 preuzimanja: 378* citiraj
APA 6th Edition
Vasudevan, V.V. i Benedict, S. (2008). A Niched Pareto GA Approach for Scheduling Scientific Workflows in Wireless Grids. Journal of computing and information technology, 16 (2), 101-108. https://doi.org/10.2498/cit.1001122
MLA 8th Edition
Vasudevan, V.Vasudevan i Shajulin Benedict. "A Niched Pareto GA Approach for Scheduling Scientific Workflows in Wireless Grids." Journal of computing and information technology, vol. 16, br. 2, 2008, str. 101-108. https://doi.org/10.2498/cit.1001122. Citirano 14.10.2019.
Chicago 17th Edition
Vasudevan, V.Vasudevan i Shajulin Benedict. "A Niched Pareto GA Approach for Scheduling Scientific Workflows in Wireless Grids." Journal of computing and information technology 16, br. 2 (2008): 101-108. https://doi.org/10.2498/cit.1001122
Harvard
Vasudevan, V.V., i Benedict, S. (2008). 'A Niched Pareto GA Approach for Scheduling Scientific Workflows in Wireless Grids', Journal of computing and information technology, 16(2), str. 101-108. https://doi.org/10.2498/cit.1001122
Vancouver
Vasudevan VV, Benedict S. A Niched Pareto GA Approach for Scheduling Scientific Workflows in Wireless Grids. Journal of computing and information technology [Internet]. 2008 [pristupljeno 14.10.2019.];16(2):101-108. https://doi.org/10.2498/cit.1001122
IEEE
V.V. Vasudevan i S. Benedict, "A Niched Pareto GA Approach for Scheduling Scientific Workflows in Wireless Grids", Journal of computing and information technology, vol.16, br. 2, str. 101-108, 2008. [Online]. https://doi.org/10.2498/cit.1001122

Sažetak
We present a Niched Pareto Genetic Algorithm (NPGA) approach to the scheduling of scientific workflows in a wireless grid environment that connects computational resources, wired grids and wireless device resources such as cameras, microphones, network interfaces and so on where the maximization of job completion ratio and minimization of lateness is crucial. Our approach supports handling uncertainty in the field of decision analysis, a rigorous technique for combining multiple objectives simultaneously. We made comparisons of our approach with respect to other scheduling policies; it performed significantly better than the majority of cases, and in worst cases, it was as good as the best of the others.

Hrčak ID: 44597

URI
https://hrcak.srce.hr/44597

Posjeta: 526 *