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Task Scheduling Algorithm Based on Improved Min-Min Algorithm in Cloud Computing Environment

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Abstract:

Task schedule algorithms directly related to the speed and quality of schedule. Min-Min algorithm always completes the shortest total completion time task first, and has the characteristic of simple and shortest completion time. This paper research scheduling algorithm based on Min—Min algorithm. The result shows that the proposed algorithm is efficient in the cloud computing environment.

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Periodical:

Applied Mechanics and Materials (Volumes 303-306)

Pages:

2429-2432

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.303-306.2429

Citation:

Cite this paper

Online since:

February 2013

Authors:

Guan Wang, Hai Cun Yu

Keywords:

Algorithm Simulating, Cloud Computing, Min-Min Algorithm, Task Scheduling

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© 2013 Trans Tech Publications Ltd. All Rights Reserved

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References

[1] Xian Jin, Yu Guangcheng. Research on scheduling algorithm based on cloud computing. Computer&Digital Engineering. (2011). 7: 39-42.

Google Scholar

[2] Yue Dongli, Liu Haitao, Sun Aobing. Research on IaaS public cloud computing platform scheduling model. Computer Engineering and Design. (2011) Vol. 32: 1889-1897.

Google Scholar

[3] Ma Jingyi, Sui Bing, Shu Wanneng. Task scheduling based on Min- Min genetic algorithm in grid Computer Engineering and Applications. Computer Engineering and Applications. (2008)44: 102-104.

Google Scholar

[4] The instruction manual of cloud computing simulation tool - CloudSim. http: /blog. csdn. net/rolinzcy12/article/details/4367631. (2009).

Google Scholar

[5] Wang, S.C., Yan, K.Q., Liao, W.P., Wang, S.S. Towards a load balancing in a three-level cloud computing network. Proceedings of 3rd IEEE International Conference on Computer Science and Information Technology. (2010): 108-113.

DOI: 10.1109/iccsit.2010.5563889

Google Scholar

[6] Calheiros R N, Ranjan R, De Rose CAF, et al, loudsim: A novel Framework Ior Modeling and Simulation of Cloud Computing Infrastructures and Services. GRIDS-TR-2009-1, Grid Computing and Distributed Systems Laboratory. The University of Melbourne. Australia. March 13. (2009).

Google Scholar