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The Role of Fuzzy Logic in Optimizing Cyber-Physical Systems in the Age of Revolution Business 4.0

In the era of Industrial Revolution 4.0, the combination of advanced technologies such as Internet of Things (IoT), Cloud Computing, and Artificial Intelligence (AI) has become the main pillar for realizing an environmentally friendly environment. business smarter and more automatic. The article written by Jonas Queiroz, Paulo Leito, and Egnio Oliveira, and published in 2022 in the IEEE Open Journal of the Industrial Electronics Society, provides an important solution through a logic-based fuzzy recommendation system for analytical tasks spread data in Cyber-Physical Systems (CPS). Cloud computing often cannot meet the needs of time- and data-sensitive businesses, therefore Because Computing is being embraced as a complementary solution that allows data to be processed closer to the source.

With DOI 10.1109/OJIES.2022.3152725, this article describes a framework that incorporates logic-based solution decisions to distribute data analysis tasks between Cloud and Edge computing layers. Based on the analysis of criteria such as responsiveness, processing speed, and bandwidth, the system is designed to overcome the challenges in the CPS architecture. According to this research, one of the main problems facing the industry is the slow response of traditional Cloud solutions, especially when there are tasks that require a response time of less than 100 milliseconds. By using an Edge Computing approach, latency can be reduced by up to 50% compared to a Cloud-centric approach.

Queiroz and his colleagues also indicated that the integration of Edge technologies in CPS systems can reduce operating costs by up to 30%, due to higher efficiency in local data processing. This fuzzy logic-based approach is believed to be able to help engineers and developers make more accurate decisions and reduce ad-hoc system design.

This article written by Jonas Queiroz, Paulo Leito, and Egnio Oliveira presents a logic-based solution approach as an innovative solution to overcome challenges in distributed data analysis tasks in Cyber ​​systems -Physical Systems (CPS). This approach is motivated by the business need to increase responsiveness, optimize data processing, and reduce operational costs by effectively distributing data analysis tasks between the Cloud and the Edge. As mentioned in the article, traditional Cloud-centric solutions often cannot meet strict responsiveness requirements due to limitations in network latency and high data processing.

The fuzzy logic-based recommendation system developed in this article is able to evaluate key criteria such as responsiveness, processing speed, data stability level, and communication infrastructure complexity. In their study, Queiroz et al. showed that by using this system, latency levels could be reduced to 29 milliseconds for processing at the Edge compared to 105 milliseconds in the Cloud, as seen in their first tests. In addition, the test revealed that by processing data at the Edge, the bandwidth used by each node can drop from approximately 14 MB per operation to just 4.1 KB.

This fact proves that in situations with a high number of nodes, Edge Computing is more suitable compared to Cloud Computing. According to the results reported in the article, for a setup with 50 nodes, the total bandwidth consumption can reach around 3 Mbps when using Edge Computing, while Cloud solutions require more bandwidth and may cause network overload.

Other data support shows that the trend of adopting Edge Computing in business environments can cut the processing time on average up to 60% faster compared to using the Cloud, based on a study that automation industry in 2021. The use of the fuzzy logic method allows the system to make decisions based on uncertain and subjective data, which often happens in real situations.

In addition to processing efficiency, Queiroz et al. he also stressed the importance of reducing operating costs. In this research, they estimate that by moving most data processing tasks to the Edge, companies can save up to 30% of total computing costs, which comes from reducing using Cloud infrastructure and making the best use of local resources. This figure is very important because operating costs are one of the main factors in the use of business technology in the current digital age.

With the combined use of fuzzy logic and Edge processing, this article introduces not only theory but also strong empirical evidence, which can be adopted by other business sectors in their efforts to improve operational efficiency and system responsiveness. development. This approach provides a solid foundation for the development of CPS technology that is more responsive and adaptable to future business needs.

In its conclusion, the article by Jonas Queiroz, Paulo Leito, and Egnio Oliveira successfully explains an innovative approach based on fuzzy logic for distributing data analysis tasks in systems Cyber-Physical Systems (CPS). Not only does this research offer concrete solutions to the limitations of Cloud Computing, but it also shows the great advantages of Edge Computing in terms of responsiveness, bandwidth efficiency, and reduced operating costs. Being able to cut latency times by up to 50% and reduce computing costs by up to 30%, this approach has great potential for widespread adoption in the business sector.