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http://dx.doi.org/10.6109/jkiice.2020.24.4.515

Resource Allocation Method using Credit Value in 5G Core Networks  

Park, Sang-Myeon (Department of Computer Science and Engineering, Soongsil University)
Mun, Young-Song (Department of Computer Science and Engineering, Soongsil University)
Publication Information
Journal of the Korea Institute of Information and Communication Engineering / v.24, no.4, 2020 , pp. 515-521 More about this Journal
Abstract
Recently, data traffic has exploded due to development of various industries, which causes problems about losing of efficiency and overloaded existing networks. To solve these problems, network slicing, which uses a virtualization technology and provides a network optimized for various services, has received a lot of attention. In this paper, we propose a resource allocation method using credit value. In the method using the clustering technology, an operation for selecting a cluster is performed whenever an allocation request for various services occurs. On the other hand, in the proposed method, the credit value is set by using the residual capacity and balancing so that the slice request can be processed without performing the operation required for cluster selection. To prove proposed method, we perform processing time and balancing simulation. As a result, the processing time and the error factor of the proposed method are reduced by about 13.72% and about 7.96% compared with the clustering method.
Keywords
5G Core Networks; Network slicing; Resource Allocation; Credit value;
Citations & Related Records
Times Cited By KSCI : 4  (Citation Analysis)
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1 Q. Ye and W. Zhuang, "Distributed and Adaptive Medium Access Control for Internet-of-Things-Enabled Mobile Networks," IEEE Internet of Things Journal, vol. 4, no. 2, pp. 446-460, 2017.   DOI
2 J. H. Jahng and S. K. Park, "Mobile Traffic Trends," ETRI Electronics and Telecommunications Trends, vol. 34, no. 3, pp. 106-113, 2019.
3 A. Gupta and R. K. Jha, "A Survey of 5G Network: Architecture and Emerging Technologies," IEEE Access, vol. 3, pp. 1206-1232, 2015.   DOI
4 D. Kreutz, F. M. V. Ramos, P. E. Verissimo, C. E. Rothenberg, S. Azodolmolky, and S. Uhlig, "Software-Defined Networking: A comprehensive Survey," Proceedings of the IEEE, vol. 103, no. 1, pp.14-76, 2015.   DOI
5 R. Mijumbi, J. Serrat, J. L. Gorricho, N. Bouten, F. D. Turck, and R. Boutaba, "Network function virtualization: State-of-the-art and research challenges," IEEE Communications Surveys Tutorials, vol. 18, no. 1, pp. 236-262, 2016.   DOI
6 S. Kianpisheh and R. H. Glitho, "Cost-Efficient Server Provisioning for Deadline-Constrained VNFs Chains: A Parallel VNF Processing Approach," 2019 16th IEEE Annual Consumer Communications & Networking Conference, 2019.
7 D. Sattar and A. Matrawy, "Optimal Slice Allocation in 5G Core Networks," IEEE Networking Letters, vol. 1, no. 2, pp. 48-51, 2019.   DOI
8 S. Ahvar, H. P. Phyu, S. M. Buddhacharya, E. Ahvar, N. Crespi, and R. Glitho, "CCVP: Cost-efficient centrality-based VNF placement and chaining algorithm for network service provisioning," 2017 IEEE Conference on Network Softwarization, 2017.
9 H. Wei, Z. Zhang, and B. Fan, "Network slice access selection scheme in 5G," 2017 IEEE 2nd Information Technology, Networking, Electronic and Automation Control Conference, 2017.
10 D. Dietrich, C. Papagianni, P. Papadimitriou, and J. S. Baras, "Network function placement on virtualized cellular cores," 2017 9th International Conference on Communication Systems and Networks, 2017.
11 S. M. Park and Y. S. Mun, "Efficient slice Allocation Method using Cluster Technology in Fifth Generation Core Networks," Journal of information and communication convergence engineering, Vol. 17, No. 3, pp. 185-190, Sep. 2019.   DOI