ANALYSIS OF THE FEATURES OF USING FOGGY COMPUTER ENVIRONMENTS FOR BUILDING IOT INFRASTRUCTURE
DOI:
https://doi.org/10.32782/IT/2025-1-31Keywords:
IoT, foggy computing environments, decentralization, data processing, environmental monitoring, cloud infrastructure, data latency, system continuity.Abstract
The use of fog computing environments is essential for optimizing the performance of IoT infrastructures, especially in the face of a constant increase in the number of connected devices and the need to quickly process large amounts of data. The purpose of the study is to review and evaluate the features of using fog computing environments to build IoT infrastructure, which will reduce latency, improve data security, and reduce the load on central servers. Methodology. The paper uses the methodology of theoretical analysis to consider various options for building IoT systems, including centralized cloud architecture and decentralized architecture based on fog environments. Particular attention is paid to the analysis of environmental monitoring systems. The scientific novelty is to study the features of using fog environments to build decentralized IoT systems, as well as to identify key advantages, such as reducing delays and improving network stability. Conclusions. Fog computing environments significantly improve the performance of IoT infrastructure by reducing data transmission delays and offloading central servers. This increases the stability and security of the system, although it requires additional costs due to a more complex architecture. The introduction of such environments is especially useful for large-scale systems where data processing speed is critical, for example, in systems whose logic is based on the analysis of large amounts of information to react instantly to deviations from a given norm. Foggy environments were considered for implementation in an environmental monitoring system with the functionality of notifying the population of environmental threats. Implementation of such a system based on foggy environments allowed to decentralize the system, which in turn provided the system with uninterrupted operation, accelerated the execution of critical system functionality, and relieved the central server from the need to process a large number of requests from sensors.
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