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Cloud Computing Resource Load Forecasting based on Bat Algorithm Optimized SVM

Volume 15, Number 7, July 2019, pp. 1955-1964
DOI: 10.23940/ijpe.19.07.p23.19551964

Yuxia Li

Beijing Union University, Beijing, 100025, China


(Submitted on March 13, 2019; Revised on May 15, 2019; Accepted on June 15, 2019)


For the problem of resource load forecasting in cloud computing, the optimized bat algorithm is combined with SVM for forecasting. Firstly, the bat algorithm adopts the reverse learning strategy for population initialization, and secondly, the weighting factor in the particle swarm optimization is used for individual optimization. Finally, the individual is selected using the Gaussian mutation method. Two important parameters in the SVM are optimized using the improved algorithm. In the simulation experiment, the SVM is optimized by the particle swarm optimization and compared with the genetic algorithm optimizing SVM, and a better forecasting effect is obtained.


References: 15

  1. D. R. Mittal and M. Sharma, “A Comparative Study of Different Load Balancing Algorithms in Cloud Computing,” Mody University International Journal of Computing and Engineering Research, Vol. 1, No. 1, pp. 51-55, 2017
  2. A. Tripathi and S. Singh, “A Literature Review on Algorithms for the Load Balancing in Cloud Computing Environments and Their Future Trends,” Mathematical and Computer Modelling, Vol. 21, No. 1, pp. 64-73, 2017
  3. C. Reiss, A. Tumanov, G. R. Ganger, and R. H. Katz, “A Towards Understanding Heterogeneous Clouds at Scale: Google Trace Analysis,” in Proceedings of the 3rd ACM Symp on Cloud Computing, 2012
  4. S. Deng, C. G. Yuan, L. C. Yang, and L. P. Zhang, “Distributed Electricity Load Forecasting Model Mining based on Hybrid Gene Expression Programming and Cloud Computing,” Pattern Recognition Letters, No. 109, pp. 72-80, 2018
  5. W. Zhong, Y. Zhuang, J. Sun, and J. J. Gu, “A Load Prediction Model for Cloud Computing using PSO-based Weighted Wavelet Support Vector Machine,” Applied Intelligence, pp. 1-12, 2018
  6. S. B. Shaw, C. Kumar, and A. K. Singh, “Use of Time-Series based Forecasting Technique for Balancing Load and Reducing Consumption of Energy in a Cloud Data Center,” in Proceedings of 2017 International Conference on Intelligent Computing and Control, pp. 1-6, 2017
  7. H. Y. Xu and B. Yang, “Energy-Aware Resource Management in Cloud Computing Considering Load Balance,” Journal of Information Science & Engineering, Vol. 33, No. 1, pp. 1-16, 2017
  8. R. Kaur and N. S. Ghumman, “A Load Balancing Algorithm based on Processing Capacities of VMs in Cloud Computing,” Big Data Analytics, pp. 63-69, Springer, Singapore, 2018
  9. D. Y. Xu and S. Ding, “Research on Improved GWO-Optimized SVM-based Short-Term Load Prediction for Cloud Computing,” Computer Engineering and Applications, Vol. 53, No. 7, pp. 68-73, 2017
  10. J. Q. Xie, Y. J. Liu, and S. Li, “Application of Improved Whale Algorithm in Load Forecasting of Cloud Computing Resources,” Computer Engineering and Applications, Vol. 54, No. 13, pp. 73-77, 2018
  11. Q. B. Nie, “Optimization Management of Task Scheduling for Cloud Resource Load Balance,” Computer Engineering and Design, Vol. 38, No. 1, pp. 18-21, 2017
  12. D. G. Li, L. Wu, and L. Li, “Research of Load Forecasting and Elastic Resources Scheduling of Openstack Platform based on Time Series,” Journal of Chongqing University of Posts and Telecommunications, Vol. 28, No. 4, pp. 560-566, 2016
  13. D. Wang and Z. Sun, “Big Data Analysis and Parallel Load Forecasting of Electric Power User Side,” Proceedings of the CSEE, Vol. 35, No. 3, pp. 527-537, 2015
  14. S. Rahnamayan, H. R. Tizhoosh, and M. M. Salama, “Opposition-based Differential Evolution,” IEEE Transactions on Evolutionary Computation, Vol. 12, No. 1, pp. 64-79, 2008
  15. Q. J. Liu, G. M. Chen, and X. F. Liu, “Genetic Algorithm based SVM Parameter Composition Optimizaiton,” Computer Applications and Software, Vol. 29, No. 4, pp. 94-96, 2012


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