Assessment and management of QoS and SLA in fog and cloud segments of the iot network in the aviation industry

Аuthors

Glushak E. V.^*, Mishin D. V.^**

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*e-mail: evglushak@yandex.ru
**e-mail: d.mishin@psuti.ru

Abstract

This article is devoted to the development and research of a mathematical model of quality of service (QoS) management and compliance with service level agreements (SLAs) in hybrid IoT networks, including fog and cloud segments, taking into account the specifics of the aviation industry. In modern conditions of digitalization of aviation systems and widespread adoption of the Internet of Things (IoT), there is a need to ensure high reliability, minimal delays and guaranteed data transmission capacity, which is critical for the safety and efficiency of aviation operations. The paper proposes a complex mathematical model that takes into account the distributed architecture of the IoT network, the parameters of the intensity of data generation by IoT devices, the computing power of fog nodes and a cloud center, as well as network delays in data transmission. The model is based on queuing theory (M/M/1 queue) to estimate packet processing time and includes resource constraints, QoS and SLA requirements. The goal is to minimize the total delay while maintaining the specified quality and throughput parameters.
The research methodology includes numerical modeling using Python software, where real parameters of load, delays, and QoS/SLA requirements were set for five IoT devices, two fog nodes, and a cloud. Based on a heuristic load distribution algorithm, optimal maintenance of each device was determined, which made it possible to evaluate the effectiveness of the proposed model.
The results of the numerical experiment showed a significant improvement in key indicators. The average reduction in latency was about 40-45%, and the increase in throughput was about 20-30% compared to the lack of optimization. All devices met the requirements of QoS and SLA, which confirms the practical applicability of the model for aviation IoT systems.
In conclusion, the relevance of the developed model for the aviation industry is noted, where the efficiency and reliability of data processing are critically important. In the future, it is planned to expand the model taking into account dynamic load changes, integrate security and privacy mechanisms, and develop adaptive real-time management
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algorithms. Experimental verification and implementation of the model into real aviation systems will be an important stage of further research.
The presented work makes a significant contribution to the development of QoS and SLA management technologies in hybrid IoT networks, contributing to improving the safety and efficiency of aviation information systems.

Keywords:

internet of things; quality of service; service level agreement; cloud computing; cloud computing; optimization, load.

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