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Manufacturing grid resource and resource service digital description

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Abstract

The core of manufacturing grid (MGrid) is resource service sharing and optimal allocation (RSSOA), including: (a) match and search of resource service; (b) QoS modeling and evaluation of resource service, (c) resource service optimal selection and composition, (d) failure detection and recovery, etc. The foundation to realize the above operations of RSSOA is digital description of resource service (DDoRS). Without digital describing information of resource service, the operations of RSSOA would have no data and information supports. Hence, DDoRS is one of the key issues for addressing RSSOA. The problem of DDoRS in MGrid is investigated in this work. The definition of MGrid resource service is given out, associated with the corresponding resource service classes. A three-step method for establishing an MGrid-Ontology is proposed and an MGrid-Ontology is established. A new digital description method for MGrid resource service based on MGrid-Ontology is put forward. A case study is described to illustrate how the proposed works can be used to MGrid resource service management.

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References

  1. Foster L, Kesselman C, Tuecke S (2001) The anatomy of the grid. Int J Supercomput Appl 15(3):1–21

    Google Scholar 

  2. Fan Y, Zhao D, Zhang L, Huang S, Liu B (2003) Manufacturing grid needs, concept, and architecture. International Workshop on Grid and Cooperative Computing (GCC 2003), December 7–10, Shanghai, China, pp 653–656

  3. Tao F, Hu YF, Zhou ZD (2008a) Study on manufacturing grid & its resources optimal-selection system. Int J Adv Manuf Technol 37(9–10):1022–1041. doi:10.1007/s00170-007-1033-9

    Article  Google Scholar 

  4. Hu YF, Tao F, Zhou ZD (2006) The connotation of manufacturing grid and its key technology. 4th International IEEE Conference on Industrial Informatics (INDIN’06), Aug 16–18, Singapore, pp 293–298

  5. Zheng XL, Chen DR, Lu L (2005) Research of architecture for grid manufacturing. Proceedings of the 9th International Conference on Computer Supported Cooperative Work in Design (CSCWD), May 24–26, Coventry, UK, pp 345–349

  6. Chen QX, Tian WS, Chen X, Deng B, Sun J (2003) Framework of grid-manufacturing system for mould and die making industry franchise business model. Comput Integr Manuf Syst 9(7):595–600

    Google Scholar 

  7. Huang C, Huang BQ, Li CP (2005) Research on resources integration framework of logistics resource grid. Comput Integr Manuf Syst 11(5):630–635

    Google Scholar 

  8. Tao F, Zhao D, Hu YF, Zhou ZD (2008b) Resource service composition and its optimal selection based on particle swarm optimization in manufacturing grid system. IEEE Transactions on Industrial Informatics 4(4). doi:10.1109/TII.2008.2009533

  9. Tao F, Hu YF, Zhao DM, Zhou ZD (2008c) Study on resource service match and search in manufacturing grid system [J]. Int J Adv Manuf Technol. doi:10.1007/s00170-008-1699-7

  10. Tao F, Hu YF, Zhao DM, Zhou ZD, Zhang HJ, Lei ZZ (2008d) Study on manufacturing grid resource service QoS modeling and evaluation. Int J Adv Manuf Technol. doi:10.1007/s00170-008-1534-1

  11. Tao F, Hu YF, Zhou ZD (2009) Application and modeling of resource service trust-QoS evaluation in manufacturing grid system. Int J Prod Res 47(6):1521–1550. doi:10.1080/00207540701551927

    Article  Google Scholar 

  12. Tao F, Hu YF, Zhao DM, Zhou ZD (2008e) Study of failure detection and recovery in manufacturing grid resource service scheduling. Int J Prod Res. doi:10.1080/00207540802275871

  13. Shi SY, Mo R, Yang HC (2006) Research on modeling resources in manufacturing grid. Comput Eng Design 27(16):2925–2927

    Google Scholar 

  14. Li B, Tsai WT (2005) Ontology and service oriented programming. Int J Web Serv Res 2(3):33–68

    Google Scholar 

  15. Cristani M, Cuel R (2004) A survey on ontology creation methodologies. Int J Semantic Web Inf Syst 1(2):49–69

    Google Scholar 

  16. Ontolingua. http://www.ksl.stanford.edu/software/ontolingua/. 14 July 2008

  17. DAML. Ontology http://www.daml.org/ontologies/. 14 July 2008

  18. Gangemi A, Catenacci C, Ciaramita M, Lehmann J (2006) Modeling ontology valuation and validation, ESWC 2006. LNCS 4011:140–154

    Google Scholar 

  19. Ni YH (2006) The research of knowledge integration technology based on ontology for manufacturing enterprise [D]. Doctoral dissertation, Zhejiang University, Hangzhou, 2005

  20. OntoSaurus. http://www.isi.edu/isd/ontosaurus.html. 2007.10

  21. Sesame. http://www.openrdf.org. 2007.10

  22. WebOnto. http://www.aktors.org/technologies/webonto/. 2007.10

  23. Protégé-2000. http://protege.stanford.edu/. 2007.10

  24. WebODE. http://webode.dia.fi.upm.es/WebODEWeb/index.html. 2007.10

  25. OilEd. http://oiled.man.ac.uk/building/. 2007.10

  26. Ontoedit. http://www.ontoknowledge.org/tools/ontoedit.shtml. 2007.10

  27. COHSE. http://cohse.semanticweb.org/. 2007.10

  28. MnM. http://kmi.open.ac.uk/projects/akt/MnM/. 2007.10

  29. Maedche A, Staab S (2000) The TEXT-TO-ONTO ontology learning environment

  30. Erol B, Marcc E, Siegfried H et al (2002) KAON towards a large scale semantic web, EC-web 2002. LNCS 2455:304–313

    Google Scholar 

  31. http://kaon.semanticweb.org. 2007.12

  32. Jena. http://jena.sourceforge.net. 2007.10

  33. Forte M, Souza WL, Prado AF (2008) Using ontologies and web services for content adaptation in ubiquitous computing. J Syst Softw 81(3):368–381. doi:10.1016/j.jss.2007.04.044

    Article  Google Scholar 

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Authors and Affiliations

  1. Hubei Digital Manufacturing Key Laboratory, School of Mechanical and Electronic Engineering, Wuhan University of Technology, Wuhan, 430070, China

    Yefa Hu, Fei Tao & Zude Zhou

  2. Department of ECE, University of Michigan, Dearborn, MI, 48128-1491, USA

    Fei Tao & Dongming Zhao

Authors
  1. Yefa Hu
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  2. Fei Tao
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  3. Dongming Zhao
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  4. Zude Zhou
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Correspondence to Fei Tao.

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Hu, Y., Tao, F., Zhao, D. et al. Manufacturing grid resource and resource service digital description. Int J Adv Manuf Technol 44, 1024–1035 (2009). https://doi.org/10.1007/s00170-008-1899-1

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