TY - GEN
T1 - Latency-minimized Computation Offloading in Fog Computing with Hybrid Whale optimization
AU - Bi, Jing
AU - Gu, Wenduo
AU - Yuan, Haitao
AU - Yu, Zhou
N1 - Publisher Copyright:
© 2022 IEEE.
PY - 2022
Y1 - 2022
N2 - Fog computing extends a paradigm of cloud computing to a network edge, thus reducing transmission delay of users' tasks and providing fast services. Dramatic increase of mobile devices brings a big challenge of how to keep low-response processing of tasks. To solve this challenge, this work aims to minimize the latency of tasks while meeting energy limits of mobile devices, and formulates a constrained optimization problem. It designs an improved optimization algorithm by following core steps of whale optimization algorithm (WOA) inspired by whale hunting behaviors. It is named C haotic D ifferential W OA with Lévy flight (CDWL). CDWL integrates merits of WOA, chaotic differential evolution, and random walks of Lévy flight. In this way, CDWL achieves strong global search and quick convergence. Real-life experiments demonstrate CDWL outperforms its six state-of-the-art peers.
AB - Fog computing extends a paradigm of cloud computing to a network edge, thus reducing transmission delay of users' tasks and providing fast services. Dramatic increase of mobile devices brings a big challenge of how to keep low-response processing of tasks. To solve this challenge, this work aims to minimize the latency of tasks while meeting energy limits of mobile devices, and formulates a constrained optimization problem. It designs an improved optimization algorithm by following core steps of whale optimization algorithm (WOA) inspired by whale hunting behaviors. It is named C haotic D ifferential W OA with Lévy flight (CDWL). CDWL integrates merits of WOA, chaotic differential evolution, and random walks of Lévy flight. In this way, CDWL achieves strong global search and quick convergence. Real-life experiments demonstrate CDWL outperforms its six state-of-the-art peers.
KW - Fog computing
KW - computation offloading
KW - latency minimization
KW - whale optimization algorithms
UR - https://www.scopus.com/pages/publications/85142728027
U2 - 10.1109/SMC53654.2022.9945284
DO - 10.1109/SMC53654.2022.9945284
M3 - 会议稿件
AN - SCOPUS:85142728027
T3 - Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics
SP - 504
EP - 509
BT - 2022 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2022 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2022 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2022
Y2 - 9 October 2022 through 12 October 2022
ER -