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General review | Open Access

The study on the architecture of crowd system supporting platform

Shuangxi Huang1Zhixuan Jia2()Yushun Fan1Taiwen Feng3Ting He4Shizhen Bai5Zhiyong Wu6
Department of Automation, Tsinghua University, Beijing, China
School of Software and Microelectronics, Peking University, Beijing, China
School of Management, Harbin Institute of Technology, Harbin, China
College of Computer Science and Technology, Huaqiao University, Quanzhou, China
School of Management, Harbin University of Commerce, Harbin, China
School of Computer Science and Technology, Shandong University of Technology, Zibo, China
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Abstract

Purpose

The purpose of this paper is to better understand and study the architecture and system characteristics of the underlying support platform for crowd system, by recognizing the characteristics of service internet is similar to the coordination characteristics between the massive units in the underlying platform of crowd system and studying the form, nature and guidelines of the service internet.

Design/methodology/approach

This paper points out the connection between the underlying support platform of crowd system and service internet, describes the framework and ideas for researching service internet and then proposes key technologies and solutions for service internet architecture and system characteristics.

Findings

The research unit in the underlying support platform of crowd system can be regarded as a service unit. Therefore, the platform can also be regarded as service internet to some extent. The ideas and technical approaches for the study of service internet’s form, criteria and characteristics are also provided.

Originality/value

According to this paper, relevant staff can be guided to better build the underlying support platform of crowd system. And it can provide a highly robust and sustainable platform for research studies of crowd science and engineering in the future.

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International Journal of Crowd Science
Pages 17-30
Cite this article:
Huang S, Jia Z, Fan Y, et al. The study on the architecture of crowd system supporting platform. International Journal of Crowd Science, 2020, 4(1): 17-30. https://doi.org/10.1108/IJCS-11-2019-0033
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