Improved Ant Colony Algorithm on Scheduling Optimization of Cloud Computing Resources

Xiao Xi Hu; Xian Wei Zhou

doi:10.4028/www.scientific.net/AMM.678.75

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vol. 678Improved Ant Colony Algorithm on Scheduling...

Improved Ant Colony Algorithm on Scheduling Optimization of Cloud Computing Resources

Abstract:

To address the problem of high occupancy of resources and slow response of current scheduling of cloud computing resources, this paper proposes a scheduling optimization algorithm based improved ant colony algorithm. It makes resource reservation through migration of virtual machine, uses dynamic trend prediction algorithm to forecast the load changes of data center, and puts forward the concrete complement to adjust reduction. Experiments show that the combination algorithm proposed in this paper are efficient to improve the performance of data center, accelerate the response speed and increase the precision.

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Periodical:

Applied Mechanics and Materials (Volume 678)

Pages:

75-78

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.678.75

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Online since:

October 2014

Authors:

Xiao Xi Hu*, Xian Wei Zhou

Keywords:

Ant Colony Algorithm, Cloud Computing Resource, Scheduling Optimization

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* - Corresponding Author

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