Development of a Hybrid-Cloud-based Wheel-Manufacturing Service with Ontology inference for machine tools

Chao Chun Chen, Min Hsiung Hung, Yu Chuan Lin, Po Yi Li

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

In this paper, we design a Hybrid-cloud-based Wheel Manufacturing Service (HC-WMS), aimed at recommending cutting tools with the Ontology inference technology on hybrid cloud platforms for satisfying both the computation scalability and the data safety. On one hand, for the data safety purpose, the wheel manufacturing data are maintained in the private cloud and protected by an authority module. On the other hand, for the computation scalability purpose, the workers which are virtual machines equipped with the wheel manufacturing software are deployed in the public cloud. When a manufacturing job is issued by a user, the job request would be divided into certain manufacturing task requests which are then send to workers through the bulletin board storage. Such the bulletin board storage is designed to exchange data between the public cloud and the private cloud without knowing any cloud information for cloud manufacturing modules, and thus, the burdens of developing manufacturing system are greatly reduced in the hybrid-cloud environment. Finally, we deploy the HC-WMS to a composition of a public cloud, namely Windows Azure, and a private cloud built by using VMWare, and apply the HC-WMS to a wheel manufacturing factory for conducting integrated tests. Testing results show that the HC-WMS can successfully recommend suitable cutting tools for machining jobs, validating its competence of acting as a cloud manufacturing service.

Original languageEnglish
Title of host publication2015 IEEE Conference on Automation Science and Engineering
Subtitle of host publicationAutomation for a Sustainable Future, CASE 2015
PublisherIEEE Computer Society
Pages1440-1445
Number of pages6
ISBN (Electronic)9781467381833
DOIs
Publication statusPublished - 2015 Oct 7
Event11th IEEE International Conference on Automation Science and Engineering, CASE 2015 - Gothenburg, Sweden
Duration: 2015 Aug 242015 Aug 28

Publication series

NameIEEE International Conference on Automation Science and Engineering
Volume2015-October
ISSN (Print)2161-8070
ISSN (Electronic)2161-8089

Other

Other11th IEEE International Conference on Automation Science and Engineering, CASE 2015
CountrySweden
CityGothenburg
Period15-08-2415-08-28

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • Electrical and Electronic Engineering

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