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Cloud computing as a facilitator for web service composition in factory automation

Author

Listed:
  • Juha Puttonen

    (Tampere University of Technology)

  • Andrei Lobov

    (Tampere University of Technology)

  • Maria A. Cavia Soto

    (Universidad de Cantabria)

  • José L. Martinez Lastra

    (Tampere University of Technology)

Abstract

Cloud computing is an information technology paradigm enabling companies to sell computing resources more dynamically. Software and hardware are now commodities leased on demand. Because computer systems leased from a cloud service provider, virtual machines, are typically connected to internet, they can host web services, which are frequently components of service oriented architectures (SOAs). Such architectures have recently been adopted in factory automation, as they allow systems to reach high levels of decentralization and loose-coupling. SOA-based Factory automation systems combine physical production equipment with web services that belong to the information processing (cyber) domain, and they are therefore highly cyber-physical. When some of the services are deployed on cloud resources, SOA-based factory automation systems can be classified cloud-based cyber-physical systems. Each service in such a system is typically able to perform rather simple, atomic operations, whereas achievement of complex goals requires that the services be composed to collaboratively carry out workflows. This article investigates the use of cloud resources in automatic service workflow composition. To facilitate the acquisition and utilization of cloud resources, a system of two specialized web services is proposed. The system includes a web service that dynamically deploys virtual machines to carry out planning processes, thereby exhibiting artificial intelligence. Finally, this paper demonstrates the integration of the system with a previously proposed semantic web service composition framework.

Suggested Citation

  • Juha Puttonen & Andrei Lobov & Maria A. Cavia Soto & José L. Martinez Lastra, 2019. "Cloud computing as a facilitator for web service composition in factory automation," Journal of Intelligent Manufacturing, Springer, vol. 30(2), pages 687-700, February.
    • Handle: RePEc:spr:joinma:v:30:y:2019:i:2:d:10.1007_s10845-016-1277-z
    DOI: 10.1007/s10845-016-1277-z
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    References listed on IDEAS

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    1. Hwa-Young Jeong & Young-Sik Jeong & Jong Hyuk Park, 2014. "G-Cloud Monitor: A Cloud Monitoring System for Factory Automation for Sustainable Green Computing," Sustainability, MDPI, vol. 6(12), pages 1-12, November.
    2. Kenji Kushida & Jonathan Murray & John Zysman, 2015. "Cloud Computing: From Scarcity to Abundance," Journal of Industry, Competition and Trade, Springer, vol. 15(1), pages 5-19, March.
    3. Juha Puttonen & Andrei Lobov & José L. Martinez Lastra, 2014. "On the Updating of Domain OWL Models at Runtime in Factory Automation Systems," International Journal of Web Services Research (IJWSR), IGI Global, vol. 11(2), pages 46-66, April.
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    Cited by:

    1. Shiyong Yin & Jinsong Bao & Jie Zhang & Jie Li & Junliang Wang & Xiaodi Huang, 2020. "Real-time task processing for spinning cyber-physical production systems based on edge computing," Journal of Intelligent Manufacturing, Springer, vol. 31(8), pages 2069-2087, December.
    2. William Derigent & Olivier Cardin & Damien Trentesaux, 2021. "Industry 4.0: contributions of holonic manufacturing control architectures and future challenges," Journal of Intelligent Manufacturing, Springer, vol. 32(7), pages 1797-1818, October.
    3. Xiaobao Zhu & Jing Shi & Fengjie Xie & Rouqi Song, 2020. "Pricing strategy and system performance in a cloud-based manufacturing system built on blockchain technology," Journal of Intelligent Manufacturing, Springer, vol. 31(8), pages 1985-2002, December.

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