Abstract
It is essential for economical NFV-based network design to determine the place where each network function should be located in the network and what its capacity should be. The authors proposed an algorithm of virtual routing function allocation in the NFV-based network for minimizing the network cost, and provided effective allocation guidelines for virtual routing functions. This paper proposes the joint deployment algorithm of virtual routing function and virtual firewall function for minimizing the network cost. Our evaluation results have revealed the following: (1) Installing a packet filtering function, which is a part of the firewall function, in the sending-side area additionally can reduce wasteful transit bandwidth and routing processing and thereby reduce the network cost. (2) The greater the number of packets filtered by packet filtering function in the sending-side area, the more the reduction of network cost is increased. (3) The proposed algorithm would be approaching about 95% of the deployment with the optimal solution.
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References
Chiosi, M., et al.: Network Functions Virtualization—An Introduction, Benefits, Enablers, Challenges and Call for Action. ETSI NFV, October 2012
Network Functions Virtualisation (NFV); Architectural Framework. ETSI GS NFV 002 v1.2.1, December 2014
file:///C:/Users/Kuribayashi/Downloads/gs_NFV002v010201p.pdf
Mijumbi, R., Serrat, J., Gorricho, J., Bouten, N., Trurck, F.D., Boutaba, R.: Network function virtualization: state-of-the-art and research challenges. IEEE Commun. Surv. Tutor. 18(1), 236–262 (2016)
NTTdocomo press release. https://www.nttdocomo.co.jp/english/info/media_center/pr/2016/0219_00.html
Herrera, J.G., Botero, J.F.: Resource allocation in NFV: a comprehensive survey. IEEE Trans. Netw. Serv. Manag. 13(3), 518–532 (2016)
Hida, K., Kuribayashi, S.: Virtual routing function allocation method for minimizing total network power consumption. In: 18th International Conference on Information and Communication Systems (ICICS Venice 2016), August 2016
Hida, K., Kuribayashi, S.: NFV-based virtual routing function deployment under network delay. In: 19th International Conference on Computer Communications and Applications (ICCCA Kyoto 2017), November 2017
Fischer, A., Botero, J.F., Beck, M.T., Meer, H., Hesselbach, X.: Virtual network embedding: a survey. IEEE Commun. Surv. Tutor. 15(4), 1888–1906 (2013)
Wei, X., Hu, S., Li, H., Yang, F., Jin, Y.: A survey on virtual network embedding in cloud computing centers. Open Autom. Control Syst. J. 6, 414–425 (2014)
Mehraghdam, S., Keller, M., Karl, H.: Specifying and placing chains of virtual network functions. In: 2014 IEEE 3rd International Conference on Cloud Networking (CloudNet), pp. 7–13, October 2014
Moens, H., Turck, F.D.: VNF-P: a model for efficient placement of virtualized network functions. In: 2014 10th International Conference on Network and Service Management (CNSM), pp. 418–423, November 2014
Mijumbi, R., Serrat, J., Gorricho, J., Boutenz, N., Turckz, F., Davy, S.: Design and evaluation of algorithms for mapping and scheduling of virtual network functions. In: 1st IEEE Conference on Network Softwarization (NetSoft), pp. 1–9 (2015)
Clayman, S., Mainiy, E., Galis, A., Manzaliniz, A., Mazzocca, N.: The dynamic placement of virtual network functions. In: IEEE Network Operations and Management Symposium (NOMS), pp. 1–9 (2014)
Basta, A., Kellerer, W., Hoffmann, M., Morper, H.J., Hoffmann, K.: Applying NFV and SDN to LTE mobile core gateways; the functions placement problem. In: 4th Workshop on All Things Cellular: Operations, Applications and Challenges 2014, pp. 33–38, August 2014
Bouet, M., Leguay, J., Conan, V.: Cost-based placement of vDPI functions in NFV infrastructures. Int. J. Netw. Manag. 25, 490–506 (2015)
Tsumura, S., Kuribayashi, S.: Simultaneous allocation of multiple resources for computer communications networks. In: APCC 2006, 2F-4, August 2006
Kuribayashi, S.: Optimal joint multiple resource allocation method for cloud computing environments. Int. J. Res. Rev. Comput. Sci. (IJRRCS) 2(1), 1–8 (2011)
Kuribayashi, S.: Resource allocation method for cloud computing environments with different service quality to users at multiple access. Int. J. Comput. Netw. Commun. (IJCNC) 7(6), 33–51 (2015)
Kuribayashi, S.: Evaluation of congestion control methods for joint multiple resource allocation in cloud computing environments. Int. J. Comput. Netw. Commun. (IJCNC) 9(3), 41–54 (2017)
Mehraghdam, S., Keller, M., Karl, H.: Specifying and placing chains of virtual network functions. In: 2014 IEEE 3rd International Conference on Cloud Networking (CloudNet), pp. 7–13, October 2014
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Hida, K., Kuribayashi, Si. (2019). Joint Deployment of Virtual Routing Function and Virtual Firewall Function in NFV-Based Network with Minimum Network Cost. In: Barolli, L., Kryvinska, N., Enokido, T., Takizawa, M. (eds) Advances in Network-Based Information Systems. NBiS 2018. Lecture Notes on Data Engineering and Communications Technologies, vol 22. Springer, Cham. https://doi.org/10.1007/978-3-319-98530-5_28
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DOI: https://doi.org/10.1007/978-3-319-98530-5_28
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