Abstract
Network Function Virtualization (NFV), Software-Defined Networks (SDN), and Mobile Edge Computing (MEC) are recent technologies that enable new features and functionalities for 5G networks. These technologies are used to provide flexible, scalable and on-demand services for the vast growing array of applications with diverging requirements such low latency, data transmission security, energy efficiency, mobility, massive connectivity, reliability, guaranteed QoS, throughput etc. The introduction of network slicing offers new solutions to manage challenges of application-tailored services in 5G and optimize business model for network operators. In this paper, we present a novel slice-oriented network model and develop a feasible information network demo intended to describe the managerial characteristics and behavior of network slices. The model is mainly depends on the MEC paradigm.
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The publication has been prepared with the support of the “RUDN University Program 5-100” and funded by RFBR according to the research projects No. 17-07-00845 and No.18-07-00576.
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Muhizi, S., Ateya, A.A., Muthanna, A., Kirichek, R., Koucheryavy, A. (2018). A Novel Slice-Oriented Network Model. In: Vishnevskiy, V., Kozyrev, D. (eds) Distributed Computer and Communication Networks. DCCN 2018. Communications in Computer and Information Science, vol 919. Springer, Cham. https://doi.org/10.1007/978-3-319-99447-5_36
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