Development of an Attendance System Based on Cloud / Fog Computing with Data Recovery Capability

  • Mohammed I. Younis Computer Engineering Department, University of Baghdad, Baghdad, Iraq
  • Manal F. Younis Computer Engineering Department, University of Baghdad, Baghdad, Iraq
  • Marwa M. Abed Computer Engineering Department, University of Baghdad, Baghdad, Iraq
  • Abdulrahman A. Alserawi Faculty of Computer Systems & Software Engineering, Universiti Malaysia Pahang, Pahang, Malaysia
Keywords: Cloud computing, Attendance, Fog computing, RFID, Raspberry Pi

Abstract

Given the high importance of attendance for university students, upon which the possibility of keeping or losing their places in the course is based, it is essential to replace the inefficient manual method of attendance recording with a more efficient one.  To handle this problem, technology must be introduced into this process. This paper aims to propose an automatic attendance system based on passive Radio Frequency Identification (RFID), fog, and cloud computing technologies (AASCF). The system has three sides. The first one, which is the Client-side; works on collecting the attendance data then sending a copy from it. The second side, which is the Server-side, works on calculating an absence ratio of all the students during the course. The third side is the Fog-server. Data sent by the client-side reaches to the Fog-server which, in turn, sends data to the cloud at the end of the of working time at the university. This paper also reviews the state-of-the-art automatic attendance systems and shows the merits and demerits for each approach by providing a checklist comparison. Unlike the previous works, the proposed system protects data from wasting and ensures its arrival to the cloud even  in cases of connection losing or device crashing, which is the contribution of this paper.

Published
2020-05-28
How to Cite
Younis, M. I., Younis, M. F., Abed, M. M., & Alserawi, A. A. (2020). Development of an Attendance System Based on Cloud / Fog Computing with Data Recovery Capability. Iraqi Journal of Science, 61(5), 1190-1201. https://doi.org/10.24996/ijs.2020.61.5.26
Section
Computer Science