Application of the fuzzy logic theory for constructing the control model of the channel resource of the communication network
DOI №______
Abstract
In today's communication networks, technologies of batch processing and data transmission are intensively implemented, which allow simultaneous processing of different types of information on the same equipment. Therefore, one of the important tasks is the efficient use and management of the channel resource. The functional scheme of the first link of the control system "Agent ‒ Network Element" is presented and algorithm for the functioning of such a network. It is shown that large streams of heterogeneous data are an additional load on communication channels. In these conditions, the construction of operational management of channel resources on the basis of the classical theory of mass service systems becomes a problematic task. It is proposed to use the theory of fuzzy sets to control the channel resource. The functional diagram of the channel resource management is given. The model of channel resource management is proposed based on the direct fuzzy production rules of modus ponens output. The variant of the fuzzy conclusion of the channel resource solution is considered. An algorithm for fuzzy control of the channel resource is constructed. It is shown that fuzzy control can be implemented by special fuzzy controllers, based on which machine is fuzzy conclusions. The structure is presented. The comparative analysis of channel resource calculation algorithms on the basis of the theory of tele traffic and fuzzy production output rules shows the advantages of fuzzy algorithms about three times.
Keywords: queuing system, queuing network, fuzzy sets, membership function, fuzzy control, channel resource.
References (MLA)
1. Kleinrock L. Computational Systems with Queues. Moscow: Mir, 1979. Print.
2. Vishnevsky V. М. Theoretical Bases of Computer Network Designing. Moscow: Technosphera, 2003. Print.
3. Dudin A. N., Medvedev G. A., and Melenets Yu. V. Computer Workshop on Mass Service Theory. Minsk: Elektronnaia kniga BSU, 2003. Print.
4. Mayorov S. A. (ed.). Fundamentals of the Theory of Computing Systems." Moscow: Vysshaya shkola, 1978. Print.
5. Mitrokhin V. E., Bychkov E. D., and Kovalenko O. N. "Methods of Quality Assurance of a Multiservice Network." Avtomatika, sviaz, informatika 7 (2008): 21-22. Print.
6. Mitrokhin V. E., Bychkov E. D., and Kovalenko O. N. "Influence of Service Discipline on Queues on Service Quality Indicators of a Multiservice Network." Omskij Nauchnyj Vectnik 1(77) (2009): 201- 204. Print.
7. Melnyk Yu.V. "Models of Management of Network Elements in Accordance with the Ideology of TMN." Telekomunikatsiini ta Informatsiini Technolohii 1(58) (2018): 66-72. Print.
8. Asai K., Watada D., and S. Iwai S. and others. Applied Fuzzy Systems. Moscow: Mir, 1993. Print.
9. Bychkov E. D., and Kovalenko D. N. "Mathematical Models of Control Systems of Channel Resource of Multiservice System of a Telecommunication Network." Omskij Nauchnyj Vectnik 2(110) (2012): 250-254. Print.