Abstract
The next generation communication networks are envisioned to be flexible, scalable, reliable and secure. Software Defined Networking introduces mechanisms to build and orchestrate efficient, flexible and adaptable networks. This is achieved by the separation of software and hardware functionalities in the network devices. This paper evaluates the overall Software Defined Networking performances with respect to the allocated network resources, i.e. different CPU’s and bandwidth’s allocations. The performance results clearly show that the overall system performances can be highly influenced by the network setup and chosen topology.
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References
Jackson, C.R., et al.: Demonstration of the benefits of sdn technology for all-optical data centre virtualisation. In: Optical Fiber Communication Conference 2017, Los Angeles, California United States (2017)
Robertazzi, T.: Introduction to Computer Networking: Software-Defined Networking. Springer, Germany (2017). https://doi.org/10.1007/978-3-319-53103-8
Chen, Q., et al.: An integrated framework for software defined networking, caching and computing. In: IEEE Network (2016)
Huo, R., et al.: Software defined networking, caching, and computing for green wireless networks. IEEE Commun. Mag. 11, 185–193 (2016)
Huang, T., et al.: A survey on large-scale software defined networking (SDN) testbeds: approaches and challenges. IEEE Commun. Surv. Tutorials 12(4), 531–550 (2017)
Mininet network emulator. http://mininet.org
Bholebawa, I., et al.: Performance analysis of proposed openflow-based network architecture using mininet. Wirel. Pers. Commun. 86, 943–958 (2016)
Shivayogimath, C., et al.: Performance analysis of a software defined network using mininet. In: Artificial Intelligence and Evolutionary Computations in Engineering Systems, pp. 391–398 (2016)
Barrett, R., et al.: Dynamic traffic diversion in SDN: testbed vs mininet. In: Proceedings of 2017 International Conference on Computing, Networking and Communications (ICNC): Network Algorithms and Performance Evaluation. Silicon Valley, USA (2017)
Chai, R., et al.: Energy consumption optimization-based joint route selection and flow allocation algorithm for software-defined networking. Sci. China Inf. Sci. 60(4), 040306 (2017)
Mauthe, A., et al.: Disaster-resilient communication networks: principles and best practices. In: Proceedings of 8th International Workshop on Resilient Networks Design and Modeling (2016)
Cao, B., et al.: Resource allocation in software defined wireless networks. IEEE Netw. 31, 44–51 (2017)
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© 2018 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
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Velevski, B., Rakovic, V., Gavrilovska, L. (2018). Implications of Network Resources and Topologies Over SDN System Performances. In: Fratu, O., Militaru, N., Halunga, S. (eds) Future Access Enablers for Ubiquitous and Intelligent Infrastructures. FABULOUS 2017. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 241. Springer, Cham. https://doi.org/10.1007/978-3-319-92213-3_4
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DOI: https://doi.org/10.1007/978-3-319-92213-3_4
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