Distributed resource allocation and load management for smart grid-powered edge computing systems

Xiaojing Chen, Hanfei Wen, Wei Ni, Shunqing Zhang, Xin Wang, Shugong Xu

Research output: Chapter in Book or Report/Conference proceedingConference Proceedingpeer-review

1 Citation (Scopus)

Abstract

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.

Original languageEnglish
Title of host publication2021 IEEE/CIC International Conference on Communications in China, ICCC 2021
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages266-271
Number of pages6
ISBN (Electronic)9781665443852
DOIs
Publication statusPublished - 28 Jul 2021
Externally publishedYes
Event2021 IEEE/CIC International Conference on Communications in China, ICCC 2021 - Xiamen, China
Duration: 28 Jul 202130 Jul 2021

Publication series

Name2021 IEEE/CIC International Conference on Communications in China, ICCC 2021

Conference

Conference2021 IEEE/CIC International Conference on Communications in China, ICCC 2021
Country/TerritoryChina
CityXiamen
Period28/07/2130/07/21

Keywords

  • Edge computing
  • Load management
  • Resource allocation
  • Smart grid
  • Stochastic approximation

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