ZTE

ZTE Communications ›› 2010, Vol. 8 ›› Issue (4): 15-20.

• Special Topic • Previous Articles     Next Articles

On-Demand Service in Cloud Computing

Xiong Jinhua1, Hu Songlin1, Liu Hui2   

  1. 1. Institute of Computing Technology, Chinese Academy of Sciences, Beijing 100190, P. R. China;
    2. GPS Research Center of Wuhan University, Wuhan 430079, P. R. China
  • Online:2010-12-25 Published:2020-02-28
  • About author:Xiong Jinhua received his doctoral degree from the Institute of Computing Technology of the Chinese Academy of Sciences. He is now an associate professor at the Key Laboratory of Network Science and Technology. He was previously the deputy director of the Grid and Service Computing Research Center of the Chinese Academy of Sciences. He has been engaged in researching distributed computing, service computing, and Internet service for many years. He researched context-aware computing in Germany during 2005. He has published over 20 articles.

    Hu Songlin received his doctoral degree from Beijing University of Aeronautics & Astronautics (BUAA). In 2006, he was a visiting researcher at the Middleware Systems Research Group, University of Toronto. He is now an associate professor at the Institute of Computing Technology of the Chinese Academy of Sciences, Senior Fellow of China Computer Federation (CCF), and commissioner of the Open Systems Technical Committee of CCF. He has been engaged in researching distributed systems, middleware, service computing, and event computing for many years. He has published over 30 articles.

    Liu Hui received his doctoral degree from Wuhan University. He is an assistant professor at the Research Center of GNSS. He currently researches GPS and continuously operating reference station network. He has published over 20 articles.
  • Supported by:
    This work was funded by the National Basic Research Program of China ("973" Program) under Grant No. 2007CB310805, and the National High Technology Research and Development Program of China ("863" Program) under Grant No. 2007AA12Z309.

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Abstract: Cloud computing provides a new paradigm for hardware and software infrastructure design as well as planning and usage of information systems. It offers flexible, efficient, inexpensive, and quality services. This paper proposes an on-demand service system using the cloud computing architecture and analyzes important issues such as organization, management, and monitoring of distributed service resources; context-aware on-demand service modeling, on-demand automated service composition in large-scale networks, and service system analysis based on complex system theory. Continuous Operating Reference Station (CORS) of a geo-spatial information system is taken as an example, and its architecture is analyzed from the perspective of cloud computing. Some fundamental questions are raised about its service.

Key words: cloud computing, service composition, situation modeling, on-demand service