Int J Performability Eng ›› 2021, Vol. 17 ›› Issue (1): 85-94.doi: 10.23940/ijpe.21.01.p8.8594
• Orginal Article • Previous Articles Next Articles
Xiaoxiang Fan*
Submitted on
;
Revised on
;
Accepted on
Contact:
* Corresponding author. About author:
Supported by:
Xiaoxiang Fan. Cloud Computing Task Scheduling based on Improved Bird Swarm Algorithm [J]. Int J Performability Eng, 2021, 17(1): 85-94.
Add to citation manager EndNote|Reference Manager|ProCite|BibTeX|RefWorks
1. | M. Armbrust, A. Fox, R. Griffith, et al., “A View of Cloud Computing,” Communications of the ACM, Vol. 53, No. 4, pp. 50-58, April 2010 |
2. | M. Masdari, F. Salehi,M. Jalali, “A Survey of PSO-based Scheduling Algorithms in Cloud Computing,” Journal of Network and Systems Management, Vol. 25, No. 1, pp. 122-158, March 2017 |
3. | H. Aziza and S. Krichen, "Bi-Objective Decision Support System for Task-Scheduling based on Genetic Algorithm in Cloud Computing,” Computing, Vol. 100, No. 2, pp. 65-91, February 2018 |
4. | S. J. Xue, M. Li, X. Xu, et al., “An ACO-LB Algorithm for Task Scheduling in the Cloud Environment,” Journal of Software, Vol. 9, No. 2, pp. 466-473, February 2014 |
5. | H. J. Yang, “A Job Scheduling Algorithm based on Artificial Bee Colony in Cloud Computing,” Mathematics in Practice and Theory, Vol. 42, No. 10, pp. 115-120, October 2012 |
6. | J. R.Xu and H. J. Zhu, “Multi-Objective Scheduling Algorithm of DAG Tasks in Cloud Computing,” Application Research of Computers, Vol. 36, No. 1, pp. 31-36, January 2019 |
7. | W. J.Huang and F. Guo, “Multi-Objective Task Scheduling based on Fireworks Algorithm in Cloud Computing,” Application Research of Computers, Vol. 34, No. 6, pp. 1718-1720, June 2017 |
8. | X. Chen, L. Cheng, C. Liu, et al., “A WOA-based Optimization Approach for Task Scheduling in Cloud Computing Systems,” IEEE Systems Journal, Vol. 14, No. 3, pp. 3117-3128, March 2020 |
9. | J. P. Zhao, J. Y. Yin,T. B. Jin, “Application of Genetic Ant Colony Algorithm in Cloud Computing Resource Scheduling,” Computer Engineering and Design, Vol. 38, No. 3, pp. 693-697, March 2017 |
10. | S. A. Rina, “Cloud Computing Resource Scheduling Scheme based on Ant Colony Particle Swarm Optimization Algorithm,” Journal of Jilin University: Science Edition, Vol. 55, No. 6, pp. 1518-1522, June 2017 |
11. | X. B. Meng, X. Z. Gao, L. Lu, et al., “A New Bio-Inspired Optimisation Algorithm; Bird Swarm Algorithm,” Journal of Experimental and Theoretical Artificial Intelligence, Vol. 28, No. 4, pp. 673-687, April 2016 |
12. | R. N.Mantegna and H. E. Stanley, “Stochastic Process with Ultraslow Convergence to a Gaussian: The Truncated Levy Flight,” Physical Review Letters, Vol. 73, No. 22, pp. 2946-2949, November 1994 |
[1] | Kun Li, Liwei Jia, and Xiaoming Shi. IPSOMC: An Improved Particle Swarm Optimization and Membrane Computing based Algorithm for Cloud Computing [J]. Int J Performability Eng, 2021, 17(1): 135-142. |
[2] | Priti Kumari and Parmeet Kaur. Connected Data Set-based Virtual Machine Replication in Cloud Computing [J]. Int J Performability Eng, 2020, 16(9): 1351-1361. |
[3] | Shujun Pei, Qinggen Zhang, and Xuehui Cheng. Workflow Scheduling using Graph Segmentation and Reinforcement Learning [J]. Int J Performability Eng, 2020, 16(8): 1262-1270. |
[4] | Yuan Liang, Hongfang Cheng, and Wangshun Chen. Building Energy Consumption Data Index Method in Cloud Computing Environment [J]. Int J Performability Eng, 2020, 16(5): 747-756. |
[5] | Xuan Chen, Zhengjiang Song, Hongfeng Zheng, and Zhiping Wan. Task Scheduling based on Fruit Fly Optimization Algorithm in Mobile Cloud Computing [J]. Int J Performability Eng, 2020, 16(4): 618-628. |
[6] | Yong Cui, Liang Zhu, Zengyu Cai, and Ying Hu. An Adaptive Traffic-Aware Migration Algorithm Selection Framework in Live Migration of Multiple Virtual Machines [J]. Int J Performability Eng, 2020, 16(2): 314-324. |
[7] | Yuxia Li. ACO-SOS-based Task Scheduling in Cloud Computing [J]. Int J Performability Eng, 2019, 15(9): 2534-2543. |
[8] | Yan Li and Yao Yao. Scheduling Algorithm for a Task under Cloud Computing [J]. Int J Performability Eng, 2019, 15(8): 2081-2090. |
[9] | Guangqian Kong, Xun Duan, and Yun Wu. Cloud-OM Patching: A Novel Video Stream Scheduling Scheme based on Hybrid Cloud-Overlay Architecture [J]. Int J Performability Eng, 2019, 15(8): 2208-2216. |
[10] | Yuxia Li. Cloud Computing Resource Load Forecasting based on Bat Algorithm Optimized SVM [J]. Int J Performability Eng, 2019, 15(7): 1955-1964. |
[11] | Ge Jiao, Lang Li, and Yi Zou. Improved Security for Android System based on Multi-Chaotic Maps using a Novel Image Encryption Algorithm [J]. Int J Performability Eng, 2019, 15(6): 1692-1701. |
[12] | Zhili Zhang, Chunping Liu, and Xiaoming Ma. Intelligent Distance Measurement of Robot Obstacle Avoidance in Cloud Computing Environment [J]. Int J Performability Eng, 2019, 15(3): 959-968. |
[13] | Shuaiqiu Xiang and Zhenjia Zhu. Dynamic Access Control of Encrypted Data in Cloud Computing Environment [J]. Int J Performability Eng, 2019, 15(3): 969-976. |
[14] | Zhong Li and Jia Wang. Security Storage of Sensitive Information in Cloud Computing Data Center [J]. Int J Performability Eng, 2019, 15(3): 1023-1032. |
[15] | Ning Ma and Weina Fu. Analysis of Cloud Computing Algorithm based on Smart Campus Message System [J]. Int J Performability Eng, 2019, 15(2): 700-709. |
|