ANALYTICAL SIMULATION OF SDN / NFV
DOI:
https://doi.org/10.26906/SUNZ.2021.2.136Keywords:
virtualization of network functions, SDN, queuing systems, OpenFlowAbstract
Traditional telecommunication networks were designed for the use of specialized hardware devices (routers, Ethernet switches, etc.). These devices were created on the basis of specific hardware and software platforms of individual vendors. The deployment of such network devices has led to long cycles of design and commissioning, and, consequently, to a slowdown in the introduction of new products and services. Maintenance and management of networks of this type has been and remains quite inefficient and expensive. The sharing of SDN and NFV changes the traditional paradigm of network construction, which is how the operator designs, develops, administers the network, and provides products and services to users. Such a paradigm shift can provide many technological and operational benefits. The paradigm shift is aimed at a fundamental rethinking of the cost structure of the operator and the mode of its operational processes. This shift, when used properly, is also able to provide fast and flexible on-demand services development, which increases the operator's competitiveness in the telecommunications and information services market. The article analyzes the advantages of implementing modern technologies for virtualization of network functions. Combining SDNs with NFVs has great advantages, but the problem is their integration. In general, the article is devoted to the study of ways to integrate virtualized network functions and the SDN controller. There are two possible architectures for this integration: the SDN controller interacts with virtualized network functions (VNF) or the switch interacts with VNF. This article provides an analytical description of both options. Thus, the article aims to create a mathematical model for analytical modeling of SDN with NFV and ultimately increase productivity and accelerate the introduction of modern network technologies.Downloads
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