Graph Modeled Oppositional Whale Optimization for Efficient Cloud Service Provision Using Virtual Network Mapping
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Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s11277-024-11033-2.pdf
Reference21 articles.
1. Zheng, X., Tian, J., Xiao, X., Cui, X., & Xiaomei, Yu. (2019). A heuristic survivable virtual network mapping algorithm. Soft Computing Springer, 23(5), 1453–1463.
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3. Yao, H., Xiong, M., Li, H., Gu, L., & Zeng, D. (2020). Joint optimization of function mapping and preemptive scheduling for service chains in network function virtualization. Future Generation Computer Systems, 108, 1112–1118.
4. Wahab, O. A., Kara, N., Edstrom, C., & Lemieux, Y. (2019). MAPLE: A machine learning approach for efficient placement and adjustment of virtual network functions. Journal of Network and Computer Applications, 142, 37–50.
5. Wanga, S., Bi, J., Jianping, Wu., Vasilakos, A. V., & VQilin, F. A. (2019). VNE-TD: A virtual network embedding algorithm based ontemporal-difference learning. Computer Networks, Elsevier, 161, 251–263.
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