Evolving container to unikernel for edge computing and applications in process industry

Shichao Chen, Mengchu Zhou

Research output: Contribution to journalReview articlepeer-review

2 Scopus citations

Abstract

Industry 4.0 promotes manufacturing and process industry towards digitalization and intellectualization. Edge computing can provide delay-sensitive services in industrial processes to realize intelligent production. Lightweight virtualization technology is one of the key elements of edge computing, which can implement resource management, orchestration, and isolation services without considering heterogenous hardware. It has revolutionized software development and de-ployment. The scope of this review paper is to present an in-depth analysis of two such technologies, Container and Unikernel, for edge computing. We discuss and compare their applicability in terms of migration, security, and orchestration for edge computing and industrial applications. We de-scribe their performance indexes, evaluation methods and related findings. We then discuss their applications in industrial processes. To promote further research, we present some open issues and challenges to serve as a road map for both researchers and practitioners in the areas of Industry 4.0, industrial process automation, and advanced computing.

Original languageEnglish (US)
Article number351
Pages (from-to)1-19
Number of pages19
JournalProcesses
Volume9
Issue number2
DOIs
StatePublished - Feb 2021

All Science Journal Classification (ASJC) codes

  • Bioengineering
  • Chemical Engineering (miscellaneous)
  • Process Chemistry and Technology

Keywords

  • Big data analytics
  • Cloud computing
  • Edge computing
  • Fault diagnosis
  • Industrial process
  • Industry 4.0
  • Internet of things
  • Lightweight virtualization
  • Machine learning
  • Process industry

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