TY - GEN
T1 - Distributed resource allocation and load management for smart grid-powered edge computing systems
AU - Chen, Xiaojing
AU - Wen, Hanfei
AU - Ni, Wei
AU - Zhang, Shunqing
AU - Wang, Xin
AU - Xu, Shugong
N1 - Publisher Copyright:
© 2021 IEEE.
PY - 2021/7/28
Y1 - 2021/7/28
N2 - In this paper, we propose distributed online resource allocation and load management (DORL) for smart grid-powered edge computing (EC) systems. Taking into account renewable energy, two-way energy trading, and dynamic energy pricing, the resource allocation and load management task is formulated as an infinite-horizon optimization problem, which minimizes jointly the energy transaction cost of the base station (BS) and the energy consumption of the Internet-of- Things (IoT) devices. Building on the stochastic dual-subgradient method, the proposed DORL algorithm decouples the real-time decisions of the BS and devices, and stabilizes the backlogs of computation tasks with a cost-backlog tradeoff of $[\eta, \frac{1}{\eta}]$, for any $\eta > 0$. Theoretical analyses prove that the proposed DORL can yield a feasible and asymptotically optimal solution.
AB - In this paper, we propose distributed online resource allocation and load management (DORL) for smart grid-powered edge computing (EC) systems. Taking into account renewable energy, two-way energy trading, and dynamic energy pricing, the resource allocation and load management task is formulated as an infinite-horizon optimization problem, which minimizes jointly the energy transaction cost of the base station (BS) and the energy consumption of the Internet-of- Things (IoT) devices. Building on the stochastic dual-subgradient method, the proposed DORL algorithm decouples the real-time decisions of the BS and devices, and stabilizes the backlogs of computation tasks with a cost-backlog tradeoff of $[\eta, \frac{1}{\eta}]$, for any $\eta > 0$. Theoretical analyses prove that the proposed DORL can yield a feasible and asymptotically optimal solution.
KW - Edge computing
KW - Load management
KW - Resource allocation
KW - Smart grid
KW - Stochastic approximation
UR - http://www.scopus.com/inward/record.url?scp=85119352982&partnerID=8YFLogxK
U2 - 10.1109/ICCC52777.2021.9580406
DO - 10.1109/ICCC52777.2021.9580406
M3 - Conference Proceeding
AN - SCOPUS:85119352982
T3 - 2021 IEEE/CIC International Conference on Communications in China, ICCC 2021
SP - 266
EP - 271
BT - 2021 IEEE/CIC International Conference on Communications in China, ICCC 2021
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2021 IEEE/CIC International Conference on Communications in China, ICCC 2021
Y2 - 28 July 2021 through 30 July 2021
ER -
