An Algorithm for Resource Optimum Scheduling for Virtual Machine Services on Clouds

Yue Li Dong; Quan Guo; Bin Sun

doi:10.4028/www.scientific.net/AMM.427-429.2473

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 427-429An Algorithm for Resource Optimum Scheduling for...

An Algorithm for Resource Optimum Scheduling for Virtual Machine Services on Clouds

Abstract:

Resource optimum scheduling with resource constraints is a complicated optimization problem. In this paper, in order to address complex resource management issues, some optimizations are adopted, such as, making use of the spare time between two subtasks which are on the same node, optimizing the order of executing subtasks, and so on. The algorithm can approximate the optimal solution quickly and stably. The simulation results demonstrate that the algorithm works effectively for this class of problems.

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Periodical:

Applied Mechanics and Materials (Volumes 427-429)

Pages:

2473-2476

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.427-429.2473

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Online since:

September 2013

Authors:

Yue Li Dong*, Quan Guo, Bin Sun

Keywords:

Cloud, Live Migration, Resource Scheduling

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* - Corresponding Author

References

[1] P. Barham, B. Dragovic, K. Fraser, S. Hand, T. Harris, A. Ho, R. Neugebauer, I. Pratt, and A. Warfield, Xen and the art of virtualization, in Proceedings of the Nineteenth ACM Symposium on Operating Systems Principles. ACM Press, 2003, p.164–177.

DOI: 10.1145/945445.945462

Google Scholar

[2] A. Kivity, Y. Kamay, D. Laor, and A. Liguori, kvm: the Linux virtual machine monitor, in Proceedings of the Linux Symposium. The Linux Symposium, 2007, p.225–230.

Google Scholar

[3] M. Wu and D. Gajski, Hypertool: A Programming Aid for Message Passing Systems, IEEE Trans. Parallel and Distributed Systems, vol. 1, pp.330-343, July (2003).

DOI: 10.1109/71.80160

Google Scholar

[4] B. Kruatrachue and T.G. Lewis, Grain Size Determination for Parallel Processing, IEEE Software, pp.23-32, Jan. (2005).

DOI: 10.1109/52.1991

Google Scholar

[5] T. Yang and A. Gerasoulis, DSC: Scheduling Parallel Tasks on an Unbounded Number of Processors, IEEE Trans. Parallel and Distributed Systems, vol. 5, no. 9, pp.951-967, Sept. (2008).

DOI: 10.1109/71.308533

Google Scholar

[6] H. Topcuoglu, and S. Hariri Performance- Effective and Low-Complexity Task Scheduling for Heterogeneous Computing, IEEE Trans. Parallel and Distributed Systems, vol. 13. no. 3, pp.260-274, March (2009).

DOI: 10.1109/71.993206

Google Scholar

[7] S. Hemminger, Network emulation with NetEm, " in Proceedings of the Sixth Australia, s National Linux Conference (LCA2005), (2005).

Google Scholar