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Method for Early Diagnosis of Real-Time Traffic Loss with Timeout Monitoring in Software-Configurable Networks

https://doi.org/10.21869/2223-1560-2022-26-2-142-158

Abstract

The purpose of the research is to develop the method for early diagnosis of real-time traffic loss with time-out control in software defined networks (SDN).

Methods. An overview and description of the transfer of heterogeneous traffic in an Ethernet switch with support for quality of service and Time-Triggered Ethernet technology is given. The functioning of the timeout control blocks for instantaneous removal of a frame from the hard timeout control system and depending on the length of the frame when the idle timeout receiving side is reached is described in detail. These control units are included in the hardware guard of control time-outs for real-time traffic. The work of the switch OpenFlow is described using guard of control time-outs. The formation of time windows of timeouts during frame transmission is described and developed.

Results. With the help of the proposed method of early diagnosis of real-time traffic losses with control of timeouts in SDN, a modeling of SDN based on Petri nets and using the CPN Tools modeling package was carried out. The obtained model and experimental results are consistent with the theoretical calculations and the proposed method of transmitting real-time traffic, taking into account its losses in SDN.

Conclusion. Using the model, the functional and temporal behavior of the model was investigated; the method was verified using Petri nets. The results were obtained in the form of time diagrams reflecting the work on traffic types in accordance with the proposed method.

About the Author

K. I. Nikishin
Penza State University
Russian Federation

Kirill I. Nikishin, Cand. of Sci. (Engineering), Senior Lecturer of  Computer Engineering Department

40 Krasnaya str., Penza 440026



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For citations:


Nikishin K.I. Method for Early Diagnosis of Real-Time Traffic Loss with Timeout Monitoring in Software-Configurable Networks. Proceedings of the Southwest State University. 2022;26(2):142-158. (In Russ.) https://doi.org/10.21869/2223-1560-2022-26-2-142-158

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ISSN 2223-1560 (Print)
ISSN 2686-6757 (Online)