Cloud Based Remote FPGA Lab Platform: An Application of Internet of Things

Author:

Syed Abbas Ali1,Asif Raheela1,Hina Saman2,Fatima Zainab1

Affiliation:

1. Department of Computer and Information Systems Engineering, NED University of Engineering and Technology, Karachi

2. Department of Computer & Information Systems Engineering, NED University of Engineering and Technology, Karachi

Abstract

IoT (Internet of Things) is the next generation of the Internet. The main goal of IoT is to connect each and every physical object to the Internet Cloud. This concept is introduced by bringing IoT technology to the laboratories, making expensive laboratory equipment available on-cloud for real-time experimentation. In this paper, an on CLP (Cloud Laboratory Platform) is presented by employing the concept of IoT to the academic experimentation environment. The CLP allows a rapid deployment of an online laboratory system enabling students and researchers to perform actual experiments on the on-Cloud laboratory equipment using a web interface. A web interface for end users to access front end of the system. This interface was developed for login purposes so that any user can perform experiments from anywhere. The interface also provides options for comments and feedback. Moreover, this research contribution also facilitate users to test their designs and record observations in real-time on the equipment. For demonstration purposes, a remote lab has been developed for high-tech Xilinx FPGA (Field Programmable Gate Array) development boards, namely Spartan-II and Spartan-III. This project aims to provide students a new tool to enhance their learning experience and encourage them to test their theoretical knowledge in practical applications.

Publisher

Mehran University of Engineering and Technology

Subject

General Medicine

Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Web services composition in UML: an empirical stud;Mehran University Research Journal of Engineering and Technology;2022-07-01

2. FPGA Implementation of RLSE Algorithm for Multichannel Brain Imaging;January 2021;2021-01-01

3. Detection of Malicious Servers for Preventing Client-Side Attacks;January 2021;2021-01-01

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