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The Objective Function Value Optimization of Cloud Computing Resources Security Allocation of Artificial Firefly Algorithm

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DOI: 10.4236/ojop.2015.42005    2,886 Downloads   3,300 Views   Citations
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ABSTRACT

Based on the current cloud computing resources security distribution model’s problem that the optimization effect is not high and the convergence is not good, this paper puts forward a cloud computing resources security distribution model based on improved artificial firefly algorithm. First of all, according to characteristics of the artificial fireflies swarm algorithm and the complex method, it incorporates the ideas of complex method into the artificial firefly algorithm, uses the complex method to guide the search of artificial fireflies in population, and then introduces local search operator in the firefly mobile mechanism, in order to improve the searching efficiency and convergence precision of algorithm. Simulation results show that, the cloud computing resources security distribution model based on improved artificial firefly algorithm proposed in this paper has good convergence effect and optimum efficiency.

Conflicts of Interest

The authors declare no conflicts of interest.

Cite this paper

Hu, X. (2015) The Objective Function Value Optimization of Cloud Computing Resources Security Allocation of Artificial Firefly Algorithm. Open Journal of Optimization, 4, 40-46. doi: 10.4236/ojop.2015.42005.

References

[1] Yin, B. (2014) Cloud Resource Allocation Method Based on Elastic Resource Adjustment. Telecommunications Science, 11, 22-26.
[2] Sun, H. (2014) Design of Task-Resource Allocation Model Based on Q-Learning and Double Orientation ACO Algorithm for Cloud Computing. Computer Measurement & Control, 10, 3343-3346.
[3] Zhou, Y. (2014) Resource Allocation Controller Design Based on Feedback Control in Content Delivery Networks. Computer Measurement & Control, 10, 3372-3374.
[4] Zhou, X.B. (2014) An Optimization Approach of Virtual Resources Allocation Base on Particle Swarm Algorithm. Journal of Chongqing University of Posts and Telecommunications, 5, 686-693.
[5] Tian, G.Z. (2014) Evolutionary Algorithm towards Resource Allocation of Concurrent Scheduling Multiple DAGs in Clouds. Application Research of Computers, 9, 2798-2802.
[6] Chen, X.J. (2014) Virtual Machine Resource Allocation Algorithm in Cloud Environment. Application Research of Computers, 9, 2584-2587.
[7] Sun, J.J. (2014) Resource Allocation Scheme Based on Neural Network and Group Search Optimization in Cloud Environment. Journal of Software, 8, 1858-1873.
[8] Zhao, G.G. (2014) Energy Efficient Radio Resource Allocation in Two-Tier Macro-Femto Cellular for Mobile Cloud Computing. Telecommunications Science, 7, 53-61.
[9] Lu, D. (2014) Enhanced Fairness-Based Multi-Resource Allocation Algorithm for Cloud Computing. Journal of Xidian University, 3, 162-168.
[10] Zhou, J.C. (2014) User-Aware Resource Provision Policy for Cloud Computing. Journal of Computer Research and Development, 5, 1108-1119.
[11] Zhang, Y.F. (2014) Service Resource Allocation Based on Service Level Protocol and Double Auction Mechanism Design. Computer Measurement & Control, 4, 1285-1287.

  
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