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Profi-Load: An FPGA-Based Solution for Generating Network Load in Profinet Communication

Khaliq, Ahmad and Saha, Sangeet and Bhatt, Bina and Gu, Dongbing and McDonald-Maier, Klaus (2019) Profi-Load: An FPGA-Based Solution for Generating Network Load in Profinet Communication. In: 2019 IEEE International Conference on Systems, Man and Cybernetics (SMC), 2019-10-06 - 2019-10-09, Bari, Italy.

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Abstract

Industrial automation has received a considerable attention in the last few years with the rise of Internet of Things (IoT). Specifically, industrial communication network technology such as Profinet has proved to be a major game changer for such automation. However, industrial automation devices often have to exhibit robustness to dynamically changing network conditions and thus, demand a rigorous testing environment to avoid any safety-critical failures. Hence, in this paper, we have proposed an FPGA-based novel framework called “Profi-Load” to generate Profinet traffic with specific intensities for a specified duration of time. The proposed Profi-Load intends to facilitate the performance testing of the industrial automated devices under various network conditions. By using the advantage of inherent hardware parallelism and re-configurable features of FPGA, Profi-Load is able to generate Profinet traffic efficiently. Moreover, it can be reconfigured on the fly as per the specific requirements. We have developed our proposed Profi-Load framework by employing the Xilinx-based “NetJury” device which belongs to Zynq-7000 FPGA family. A series of experiments have been conducted to evaluate the effectiveness of Profi-Load and it has been observed that Profi-Load is able to generate precise load at a constant rate for stringent timing requirements. Furthermore, a suitable Human Machine Interface (HMI) has also been developed for quick access to our framework. The HMI at the client side can directly communicate with the NetJury device and parameters such as, required load amount, number of packet(s) to be sent or desired time duration can be selected using the HMI.

Item Type: Conference or Workshop Item (Paper)
Additional Information: Published proceedings: 2019 IEEE International Conference on Systems, Man and Cybernetics (SMC)
Divisions: Faculty of Science and Health > Computer Science and Electronic Engineering, School of
Depositing User: Elements
Date Deposited: 30 Apr 2020 08:04
Last Modified: 30 Apr 2020 08:04
URI: http://repository.essex.ac.uk/id/eprint/27401

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