TY - GEN
T1 - Mobility-aware fog offloading
AU - Sharifi, Ferdous
AU - Rasaii, Ali
AU - Honarmand, Melika
AU - Hessabi, Shaahin
AU - Lee, Young Choon
PY - 2023
Y1 - 2023
N2 - Fog computing plays a crucial role in bridging resource-constrained internet of things (IoT) devices and distant clouds by processing requests from IoT devices in a timely manner. In this paper, we present the Many-to-One (M2One) offloading algorithm taking into account mobile fog nodes. In particular, M2One identifies a coordinator fog node to distribute those requests to other fog nodes as well as cloud servers. The coordinator node is selected based primarily on computing capacity and signal strength. The actual offloading decisions are made considering computing capacity, queuing delay, transmission and propagation delay, channel status, and battery level of mobile fog nodes. Our evaluation study conducted in a simulated healthcare scenario has demonstrated the effectiveness of M2One. Results show that the proposed algorithm reduces request service delay by 35% on average, compared to that with clouds.
AB - Fog computing plays a crucial role in bridging resource-constrained internet of things (IoT) devices and distant clouds by processing requests from IoT devices in a timely manner. In this paper, we present the Many-to-One (M2One) offloading algorithm taking into account mobile fog nodes. In particular, M2One identifies a coordinator fog node to distribute those requests to other fog nodes as well as cloud servers. The coordinator node is selected based primarily on computing capacity and signal strength. The actual offloading decisions are made considering computing capacity, queuing delay, transmission and propagation delay, channel status, and battery level of mobile fog nodes. Our evaluation study conducted in a simulated healthcare scenario has demonstrated the effectiveness of M2One. Results show that the proposed algorithm reduces request service delay by 35% on average, compared to that with clouds.
UR - http://www.scopus.com/inward/record.url?scp=85174812323&partnerID=8YFLogxK
M3 - Conference proceeding contribution
AN - SCOPUS:85174812323
SN - 9798350317756
SP - 24
EP - 29
BT - 2023 24st Asia-Pacific Network Operations and Management Symposium (APNOMS)
PB - Institute of Electrical and Electronics Engineers (IEEE)
CY - Piscataway, NJ
T2 - 24th Asia-Pacific Network Operations and Management Symposium, APNOMS 2023
Y2 - 6 September 2023 through 8 September 2023
ER -