TY - JOUR
T1 - Matching-Theory-Based Multi-User Cooperative Computing Framework
AU - Zhou, Ya
AU - Zhang, Guopeng
AU - Wang, Kezhi
AU - Yang, Kun
N1 - Funding information: This work was supported in part by the National Natural Science Foundation of China under Grant 61971421, Grant 61620106011, Grant U1705263, Grant 61871076; and the Fundamental Research Funds for the Central Universities (Grant ZYGX2019J001).
PY - 2022/2
Y1 - 2022/2
N2 - In this paper, we propose a matching theory based multi-user cooperative computing (MUCC) scheme to minimize the overall energy consumption of a group of user equipments (UEs), where the UEs can be classified into the following roles: resource demander (RD), resource provider (RP), and standalone UE (SU). We first determine the role of each UE by leveraging the roommate matching method. Then, we propose the college admission based algorithm to divide the UEs into multiple cooperation groups, each consisting of one RP and multiple RDs. Next, we propose the rotation swap operation to further improve the performance without deteriorating the system stability. Finally, we present an effective task offloading algorithm to minimize the energy consumption of all the cooperation groups. The simulation results verify the effectiveness of the proposed scheme.
AB - In this paper, we propose a matching theory based multi-user cooperative computing (MUCC) scheme to minimize the overall energy consumption of a group of user equipments (UEs), where the UEs can be classified into the following roles: resource demander (RD), resource provider (RP), and standalone UE (SU). We first determine the role of each UE by leveraging the roommate matching method. Then, we propose the college admission based algorithm to divide the UEs into multiple cooperation groups, each consisting of one RP and multiple RDs. Next, we propose the rotation swap operation to further improve the performance without deteriorating the system stability. Finally, we present an effective task offloading algorithm to minimize the energy consumption of all the cooperation groups. The simulation results verify the effectiveness of the proposed scheme.
KW - computing task offloading
KW - matching theory
KW - multi-user cooperative computing
UR - http://www.scopus.com/inward/record.url?scp=85120570400&partnerID=8YFLogxK
U2 - 10.1109/LCOMM.2021.3130574
DO - 10.1109/LCOMM.2021.3130574
M3 - Article
AN - SCOPUS:85120570400
SN - 1089-7798
VL - 26
SP - 414
EP - 418
JO - IEEE Communications Letters
JF - IEEE Communications Letters
IS - 2
ER -