A Novel Dynamic Task Scheduling Algorithm Based on Improved Genetic Algorithm in Cloud Computing-Reference-Cited by-同舟云学术

A Novel Dynamic Task Scheduling Algorithm Based on Improved Genetic Algorithm in Cloud Computing

Published:2015-10-29 Issue: Volume: Page:829-835
ISSN:1876-1100
Container-title:Wireless Communications, Networking and Applications
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Author:

Ma Juntao,Li Weitao,Fu Tian,Yan Lili,Hu Guojie

Publisher

Springer India

Link

http://link.springer.com/content/pdf/10.1007/978-81-322-2580-5_75

Reference8 articles.

1. Shu, W., Ding, L., Wang, S.: Resource sharing models and heuristic load balancing methods for grid scheduling problems. Int. J. Adv. Comput. Technol. 4(9), 315–322 (2012)

2. Gao, Y., Rong, H.Q., Huang, J.Z.: Adaptive grid job scheduling with genetic algorithms. Future Gener. Computer Syst. Elsevier 21(3), 1510–1518 (2005)

3. Spooner, D.P., Jarvis, S.A.: local grid scheduling techniques using performance prediction. IEEE Proc. Comput. Digital Tech. 150(2), 87–96 (2003)

4. Subra, R., Zomaya, A.Y., Landfeldt, B.: Artificial life techniques for load balancing in computational grids. J. Comput. Syst. Sci. 73(8), 1176–1185 (2007)

5. Shu, W., Ding, L., Wang, S.: An efficient heuristic scheduling algorithm for optimal job allocation in computational grids. ICIC Express Lett. 5(4), 1045–1050 (2011)

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