Flexible Resource Scheduling for Software-Defined Cloud Manufacturing with Edge Computing

Chen Yang, Fangyin Liao, Shulin Lan, Lihui Wang, Weiming Shen, George Q. Huang

Research output: Journal article publicationJournal articleAcademic researchpeer-review

11 Citations (Scopus)

Abstract

This research focuses on the realization of rapid reconfiguration in a cloud manufacturing environment to enable flexible resource scheduling, fulfill the resource potential and respond to various changes. Therefore, this paper first proposes a new cloud and software-defined networking (SDN)-based manufacturing model named software-defined cloud manufacturing (SDCM), which transfers the control logic from automation hard resources to the software. This shift is of significance because the software can function as the “brain” of the manufacturing system and can be easily changed or updated to support fast system reconfiguration, operation, and evolution. Subsequently, edge computing is introduced to complement the cloud with computation and storage capabilities near the end things. Another key issue is to manage the critical network congestion caused by the transmission of a large amount of Internet of Things (IoT) data with different quality of service (QoS) values such as latency. Based on the virtualization and flexible networking ability of the SDCM, we formalize the time-sensitive data traffic control problem of a set of complex manufacturing tasks, considering subtask allocation and data routing path selection. To solve this optimization problem, an approach integrating the genetic algorithm (GA), Dijkstra's shortest path algorithm, and a queuing algorithm is proposed. Results of experiments show that the proposed method can efficiently prevent network congestion and reduce the total communication latency in the SDCM.

Original languageEnglish
Pages (from-to)60-70
Number of pages11
JournalEngineering
Volume22
DOIs
Publication statusPublished - Mar 2023
Externally publishedYes

Keywords

  • Cloud manufacturing
  • Edge computing
  • Industrial Internet of Things
  • Industry 4.0
  • Software-defined networks

ASJC Scopus subject areas

  • General Computer Science
  • Environmental Engineering
  • General Chemical Engineering
  • Materials Science (miscellaneous)
  • Energy Engineering and Power Technology
  • General Engineering

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