Multi-Criteria Synthesis of the Software-Defined Network Structure

Ackoski, Jugoslav (2019) Multi-Criteria Synthesis of the Software-Defined Network Structure. In: CMiGIN 2019, 29 Nov 2019, Kiev.

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Abstract

A software-defined networking is a complex system that consists of a set of end nodes and switching nodes, as well as communication channels that connect them to each other. In such networks, along with the information transmission processes in the communication channels, there are also processes of information sharing that take place and take place at the switching nodes. In a software-defined networking, the central controller manages these distribution processes. Therefore, in the construction of software-defined networking should take into account the quality indicators that characterize these processes. First of all, these indicators are related to delay and loss of messages, errors in the delivery of messages to specific recipients, time of delivery of the data stream, topology of the software-defined networking, etc. They can be described by numerical parametric characteristics, which may be restricted. To design and construct SDNs, developers try to find the values of the characteristics that would optimally satisfy the functioning of the network by minimizing or max- imizing its quality. And the tasks of researching and finding such characteristics are inherently multi-criteria. For a complex solution of the general issue of con- struction a software-defined networking, the article discusses the basic require- ments that apply to the criteria in multicriteria tasks. The process of normaliza- tion of the parameters of the criterion functions in the formation of the Pareto- optimal set of solutions is described and recommendations are given with their subsequent use.

Item Type:	Conference or Workshop Item (Paper)
Subjects:	Natural sciences > Computer and information sciences
Divisions:	Military Academy
Depositing User:	Jugoslav Ackoski
Date Deposited:	20 Jun 2022 08:25
Last Modified:	20 Jun 2022 08:25
URI:	https://eprints.ugd.edu.mk/id/eprint/29844

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