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Exploration on the Load Balancing Technique for Platform of Internet of Things

Donglei Lu1, Dongjie Zhu2,*, Yundong Sun3, Haiwen Du3, Xiaofang Li4, Rongning Qu4, Yansong Wang3, Ning Cao1, Helen Min Zhou5

1 School of Artificial Intelligence, Wuxi Vocational College of Science and Technology, Wuxi, 214028, China
2 School of Computer Science and Technology, Harbin Institute of Technology, Weihai, 264209, China
3 School of Astronautics, Harbin Institute of Technology, Harbin, 150001, China
4 Department of Mathematics, Harbin Institute of Technology, Weihai, 264209, China
5 School of Engineering, Manukau Institute of Technology, Auckland, 2241, New Zealand

* Corresponding Author: Dongjie Zhu. Email:

Computer Systems Science and Engineering 2021, 38(3), 339-350.


In recent years, the Internet of Things technology has developed rapidly, and smart Internet of Things devices have also been widely popularized. A large amount of data is generated every moment. Now we are in the era of big data in the Internet of Things. The rapid growth of massive data has brought great challenges to storage technology, which cannot be well coped with by traditional storage technology. The demand for massive data storage has given birth to cloud storage technology. Load balancing technology plays an important role in improving the performance and resource utilization of cloud storage systems. Therefore, it is of great practical significance to study how to improve the performance and resource utilization of cloud storage systems through load balancing technology. On the basis of studying the read strategy of Swift, this article proposes a reread strategy based on load balancing of storage resources to solve the problem of unbalanced read load between interruptions caused by random data copying in Swift. The storage asynchronously tracks the I/O conversion to select the storage with the smallest load for asynchronous reading. The experimental results indicate that the proposed strategy can achieve a better load balancing state in terms of storage I/O utilization and CPU utilization than the random read strategy index of Swift.


Cite This Article

D. Lu, D. Zhu, Y. Sun, H. Du, X. Li et al., "Exploration on the load balancing technique for platform of internet of things," Computer Systems Science and Engineering, vol. 38, no.3, pp. 339–350, 2021.

This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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