Analyzing Industry Information Management and limitations based on P2P computing
Najlaa Nsrulaah Faris, Mohaned Adile, Raaid Alubady, Sura Rahim Alatba, Tamarah Alaa Diame, Sadiq Nabeel Sadiq · 2023
The use of real-time technology is crucial in fmthe field of industrial computerization. Much speculation has been about the huge growth in sophisticated networked devices such establishments use. It's often called “Industry 4.0” or “the Industrial Internet of Things.” Many goods mean many uses, which are widely dispersed. Therefore, in real-world settings, a single device is insufficient. The impact of communication on applications' overall temporal behavior is growing. Due to this need, many Industrial Ethernet (IE) methods have been created. Successful IE countermeasures often include custom-built software or non-standard adjustments to existing protocols. It undermines interoperability and creates expensive gear incompatible with other IE or regular Ethernet alternatives. A P2P computing-based deterministic communication (P2PDC) framework is proposed in this article. P2PDC presents a P2P technique that offers a deterministic connection through standard Ethernet on a full software basis. While it does allow for real-time interactions and is based only on industry-standard protocols, it does have a few drawbacks. P2PDC's low network utilization, hash attack control, and congestion prioritization are singled out in the report as the most important limits and solutions to these problems. The experimental results show the P2PDC to achieve an accuracy ratio of 92.21 %, precision ratio of 92.65%, efficiency ratio of 89.97%, F -score ratio of 90.14%, recall ratio of 88.78% and less packet drop ratio of 33.3% compared to other methods.