Graph Analysis of Fog Computing Systems for Industry 4.0

Nandor Verba, Kuo Ming Chao, Anne James, Jacek Lewandowski, Xiang Fei, Chen Fang Tsai

Research output: Chapter in Book/Report/Conference proceedingConference proceedingpeer-review

11 Citations (Scopus)


Increased adoption of Fog Computing concepts into Cyber Physical Systems (CPS) is a driving force for implementing Industry 4.0. The modern industrial environment focuses on providing a flexible factory floor that suits the needs of modern manufacturing through the reduction of downtimes, reconfiguration times, adoption of new technologies and the increase of its production capabilities and rates. Fog Computing through CPS aims to provide a flexible orchestration and management platform that can meet the needs of this emerging industry model. Proposals on Fog Computing platform and Software Defined Networks (SDN) for Industry allow for resource virtualization and access throughout the system enabling large composite application systems to be deployed on multiple nodes. The increase of reliability, redundancy and runtime parameters as well as the reduction of costs in such systems are of key interest to Industry and researchers as well. The development of optimization algorithms and methods is made difficult by the complexity of such systems and the lack of real-world data on fog systems resulting in algorithms that are not being designed for real world scenarios. We propose a set of use-case scenarios based on our Industrial partner that we analyze to determine the graph based parameters of the system that allows us to scale and generate a more realistic testing scenario for future optimization attempts as well as determine the nature of such systems in comparison to other networks types. To show the differences between these scenarios and our real-world use-case we have selected a set of key graph characteristics based on which we analyze and compare the resulting graphs from the systems.

Original languageEnglish
Title of host publicationProceedings - 14th IEEE International Conference on E-Business Engineering, ICEBE 2017 - Including 13th Workshop on Service-Oriented Applications, Integration and Collaboration, SOAIC 207
PublisherInstitute of Electrical and Electronics Engineers Inc.
Number of pages8
ISBN (Electronic)978-1-5386-1412-9
ISBN (Print)978-1-5386-1413-6
Publication statusPublished - 22 Nov 2017
Event14th IEEE International Conference on E-Business Engineering, ICEBE 2017 - Shanghai, China
Duration: 4 Nov 20176 Nov 2017


Conference14th IEEE International Conference on E-Business Engineering, ICEBE 2017


  • CPS
  • Fog Computing
  • Fog of Things
  • Graph Analysis
  • Industry 4.0
  • Internet of Things

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Business and International Management
  • Management Information Systems
  • Information Systems and Management
  • Computer Science Applications


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