Frontiers of Data and Computing ›› 2022, Vol. 4 ›› Issue (4): 132-141.

CSTR: 32002.14.jfdc.CN10-1649/TP.2022.04.013

doi: 10.11871/jfdc.issn.2096-742X.2022.04.013

• Technology & Application • Previous Articles     Next Articles

A Review of Cloud-Edge Collaboration and Task Scheduling in China from the Perspective of Bibliometrics

LU Juhui*(),WU Wen,LIN Zhixian   

  1. Xiamen Meiya Pico Information Co.,Ltd, Xiamen, Fujian 361001, China
  • Received:2021-11-02 Online:2022-08-20 Published:2022-08-10
  • Contact: LU Juhui E-mail:brucelujuhui@163.com

Abstract:

[Objective] Under the background of constructing the new computing network system, a compre-hensive analysis of the research status of task scheduling based on cloud-edge collaboration enables researchers to quickly identify the current research hotspots. Researchers can promote the construction of the new generation computing network system by focusing on those hotspots. [Methods] According to bibliometrics and content analysis methods, a detailed investigation and analysis of the external characteristics and content of selected journal articles are presented. This paper also summarizes some characteristics of the current research field of task scheduling based on cloud-edge collaboration and makes corresponding prospects for the future research. [Results] Recent research on task scheduling based on cloud edge collaboration closely fits the cutting-edge technology of the times. [Conclusions] With the rapid development of 5G technology and the intensive mentioning of the concepts of “Internet of Everything” and “integrated big data center”, some research fields tend to attract extensive attention, such as the algorithms related to cloud-edge collaboration and task scheduling, scheduling and allocation optimization of physical resources and data resources, and construction and improvement of integrated big data center ecosystem.

Key words: cloud edge collaboration, task scheduling, biblio-metric method, content analysis