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Everything-as-a-service platform for on-demand virtual enterprises

Author

Listed:
  • Gang Li

    (Institute of Computing Technology, Chinese Academy of Sciences)

  • Mingchuan Wei

    (Institute of Computing Technology, Chinese Academy of Sciences)

Abstract

While constructing virtual enterprises, it is crucial to flexibly integrate heterogeneous business resources and processes of different business partners and make them collaborate dynamically. Keeping involved IT systems or components as autonomous and loose-coupled services, the “Everything as a Service” concept supports flexible integration of heterogeneous applications. We adopt this concept and analyze the challenges in virtual enterprise construction, then propose a service platform for on-demand virtual enterprises. The platform supports flexible integration of networked resources, and facilitates virtual enterprise construction with business process utility, trusted service composition and data service centric business collaborations. At the end of the paper, together with a case study, experimental evaluations in contexts of concurrent multi-users are presented, showing the effectiveness and performance of the platform.

Suggested Citation

  • Gang Li & Mingchuan Wei, 2014. "Everything-as-a-service platform for on-demand virtual enterprises," Information Systems Frontiers, Springer, vol. 16(3), pages 435-452, July.
    • Handle: RePEc:spr:infosf:v:16:y:2014:i:3:d:10.1007_s10796-012-9351-3
    DOI: 10.1007/s10796-012-9351-3
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    References listed on IDEAS

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    1. Gunasekaran, Angappa & Lai, Kee-hung & Edwin Cheng, T.C., 2008. "Responsive supply chain: A competitive strategy in a networked economy," Omega, Elsevier, vol. 36(4), pages 549-564, August.
    2. Gang Li & Yanbo Han & Zhuofeng Zhao & Jing Wang & Roland M. Wagner, 2006. "Facilitating Dynamic Service Compositions by Adaptable Service Connectors," International Journal of Web Services Research (IJWSR), IGI Global, vol. 3(1), pages 68-84, January.
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    Cited by:

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    7. Sanjaya K. Panda & Indrajeet Gupta & Prasanta K. Jana, 2019. "Task scheduling algorithms for multi-cloud systems: allocation-aware approach," Information Systems Frontiers, Springer, vol. 21(2), pages 241-259, April.

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