TY - GEN
T1 - A Game theory-based Computation Offloading Method in Cloud-Edge Computing Networks
AU - Wang, Zhenning
AU - Wu, Tong
AU - Zhang, Zhenyu
AU - Zhou, Huan
N1 - Publisher Copyright:
© 2021 IEEE.
PY - 2021/7
Y1 - 2021/7
N2 - In this paper, we propose a computation offloading method based on the game theory, which is suitable for cloud-edge computing networks. We consider that the Cloud Server (CS) can offload the computation tasks to wireless Access Points (APs) associated with Edge Servers (ESs) to accelerate processing. ESs can gain benefits through computation offloading, while the CS can reduce its cost and computing pressure. We model the interaction between the CS and ESs as a Stackelberg game, and use the backward induction method to analyze the proposed game. We prove that the game can achieve a unique Nash equilibrium. Then, we propose a Gradient-based Iterative Search Algorithm (GISA) to maximize the utility of the CS and ESs. Finally, numerical simulation results show that our proposed method greatly outperforms other benchmark schemes under different scenarios, and can encourage ESs to trade their computation resources with the CS effectively.
AB - In this paper, we propose a computation offloading method based on the game theory, which is suitable for cloud-edge computing networks. We consider that the Cloud Server (CS) can offload the computation tasks to wireless Access Points (APs) associated with Edge Servers (ESs) to accelerate processing. ESs can gain benefits through computation offloading, while the CS can reduce its cost and computing pressure. We model the interaction between the CS and ESs as a Stackelberg game, and use the backward induction method to analyze the proposed game. We prove that the game can achieve a unique Nash equilibrium. Then, we propose a Gradient-based Iterative Search Algorithm (GISA) to maximize the utility of the CS and ESs. Finally, numerical simulation results show that our proposed method greatly outperforms other benchmark schemes under different scenarios, and can encourage ESs to trade their computation resources with the CS effectively.
KW - Cloud-edge
KW - Computation offloading
KW - Edge computing
KW - Game theory
KW - Nash equilibrium
UR - http://www.scopus.com/inward/record.url?scp=85114961882&partnerID=8YFLogxK
U2 - 10.1109/ICCCN52240.2021.9522361
DO - 10.1109/ICCCN52240.2021.9522361
M3 - 会议稿件
AN - SCOPUS:85114961882
T3 - Proceedings - International Conference on Computer Communications and Networks, ICCCN
BT - 30th International Conference on Computer Communications and Networks, ICCCN 2021
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 30th International Conference on Computer Communications and Networks, ICCCN 2021
Y2 - 19 July 2021 through 22 July 2021
ER -