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Research Article

Dynamic Scheduling Of Data Using Genetic Algorithm In Cloud Computing


Author(s): S.Ravichandran , E.R.Naganathan
Affiliation: Research Scholar, Department of Computer Science, Bharathiyar University, Coimbatore
Year of Publication: 2013
Source: International Journal of Computing Algorithm
     
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Citation: S.Ravichandran, E.R.Naganathan. "Dynamic Scheduling Of Data Using Genetic Algorithm In Cloud Computing." International Journal of Computing Algorithm 2.1 (2013): 11-15.

Abstract:
Cloud Computing is the utilization of pool of resources for remote users through internet that can be easily accessible, scalable and utilization of resources. To attain maximum utilization of resources the tasks need to be scheduled. The problem in scheduling is allocating the correct resources to the arrived tasks. Dynamic scheduling is that the task arrival is uncertain at run time and allocating resources are tedious as several tasks arrive at the same time. To avoid this scheduling problem, Genetic Algorithm is used. Genetic algorithm is a heuristic method that deals with the natural selection of solution from all possible solutions. Using genetic algorithm the tasks are scheduled according to the computation and memory usage.


Keywords Cloud computing, resource utilization, dynamic scheduling, Genetic Algorithm, optimization.


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@article{Dyn1394911, author = {S.Ravichandran,E.R.Naganathan}, title = {Dynamic Scheduling Of Data Using Genetic Algorithm In Cloud Computing}, journal={International Journal of Computing Algorithm}, volume={2}, issue={1}, issn = {2278-2397}, year = {2013}, publisher = {Scholarly Citation Index Analytics-SCIA}

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  • [8] H.J. Braun, T. D.and Siegel, N. Beck, L.L. Blni, M. Maheswaran, A.I. Reuther, J.P. Robertson, M.D. Theys, and B. Yao, “A comparison of eleven static heuristics for mapping a class of independent tasks onto heterogeneous distributed computing systems,” Journal of Parallel and Distributed Computing, vol. 61, no. 6, pp.810–837, 2001.
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