TY - GEN
T1 - Enhancing Fog/Edge Computing Education Using Extended Network Simulator Omnet++ (xFogSim)
AU - Qayyum, Tariq
AU - Trabelsi, Zouheir
AU - Alomar, Ban
AU - Ambali Parambil, Medha Mohan
N1 - Publisher Copyright:
© 2024 IEEE.
PY - 2024
Y1 - 2024
N2 - Fog computing is a technology that brings computing, storage, and networking services closer to devices and systems, aiming to improve speed, efficiency, and data processing capabilities for various applications. The growing importance of fog and edge computing technologies means we need new and better ways to teach students about these areas. This paper offers a detailed guide on how to use xFogSim, an extended version of the Omnet++ network simulator, for teaching fog and edge computing. We give students a clear path to follow, starting with simple network designs and moving to more complex ones, helping them understand how federated learning works. We tested xFogSim with a group of students and found that it really helps them grasp fog and edge computing ideas better than traditional teaching methods. xFogSim also gives practical information about important performance metrics, helping bridge the gap between what students learn in class and what they need to know in the real world. This paper shows that using xFogSim in classrooms gives students a strong base in distributed computing systems, getting them ready for future tech challenges.
AB - Fog computing is a technology that brings computing, storage, and networking services closer to devices and systems, aiming to improve speed, efficiency, and data processing capabilities for various applications. The growing importance of fog and edge computing technologies means we need new and better ways to teach students about these areas. This paper offers a detailed guide on how to use xFogSim, an extended version of the Omnet++ network simulator, for teaching fog and edge computing. We give students a clear path to follow, starting with simple network designs and moving to more complex ones, helping them understand how federated learning works. We tested xFogSim with a group of students and found that it really helps them grasp fog and edge computing ideas better than traditional teaching methods. xFogSim also gives practical information about important performance metrics, helping bridge the gap between what students learn in class and what they need to know in the real world. This paper shows that using xFogSim in classrooms gives students a strong base in distributed computing systems, getting them ready for future tech challenges.
KW - Edge Computing
KW - Experiential Learning
KW - Fog Computing
KW - Interactive Education
KW - Network Simulation
KW - Omnet++
KW - Performance Metrics
KW - xFogSim
UR - http://www.scopus.com/inward/record.url?scp=85199057019&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85199057019&partnerID=8YFLogxK
U2 - 10.1109/EDUCON60312.2024.10578734
DO - 10.1109/EDUCON60312.2024.10578734
M3 - Conference contribution
AN - SCOPUS:85199057019
T3 - IEEE Global Engineering Education Conference, EDUCON
BT - EDUCON 2024 - IEEE Global Engineering Education Conference, Proceedings
PB - IEEE Computer Society
T2 - 15th IEEE Global Engineering Education Conference, EDUCON 2024
Y2 - 8 May 2024 through 11 May 2024
ER -