Open Access
ARTICLE
Service Scheduling Based on Edge Computing for Power Distribution IoT
Zhu Liu1, 2, *, Xuesong Qiu1, Shuai Zhang2, Siyang Deng2, Guangyi Liu3, *
1 State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing, 100876, China.
2 State Grid Information & Telecommunication Group Co., Ltd., Beijing, 102211, China.
3 Global Energy Interconnection Research Institute North America, San Jose, CA, 95134, USA.
*Corresponding Authors: Zhu Liu. Email: ;
Guangyi Liu. Email: .
Computers, Materials & Continua 2020, 62(3), 1351-1364. https://doi.org/10.32604/cmc.2020.07334
Abstract
With the growing amounts of multi-micro grids, electric vehicles, smart home,
smart cities connected to the Power Distribution Internet of Things (PD-IoT) system,
greater computing resource and communication bandwidth are required for power
distribution. It probably leads to extreme service delay and data congestion when a large
number of data and business occur in emergence. This paper presents a service scheduling
method based on edge computing to balance the business load of PD-IoT. The architecture,
components and functional requirements of the PD-IoT with edge computing platform are
proposed. Then, the structure of the service scheduling system is presented. Further, a novel
load balancing strategy and ant colony algorithm are investigated in the service scheduling
method. The validity of the method is evaluated by simulation tests. Results indicate that
the mean load balancing ratio is reduced by 99.16% and the optimized offloading links can
be acquired within 1.8 iterations. Computing load of the nodes in edge computing platform
can be effectively balanced through the service scheduling.
Keywords
Cite This Article
Z. Liu, X. Qiu, S. Zhang, S. Deng and G. Liu, "Service scheduling based on edge computing for power distribution iot,"
Computers, Materials & Continua, vol. 62, no.3, pp. 1351–1364, 2020.
Citations