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A field-based service management and discovery method in multiple clouds context

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Abstract

In diverse and self-governed multiple clouds context, the service management and discovery are greatly challenged by the dynamic and evolving features of services. How to manage the features of cloud services and support accurate and efficient service discovery has become an open problem in the area of cloud computing. This paper proposes a field model of multiple cloud services and corresponding service discovery method to address the issue. Different from existing researches, our approach is inspired by Bohr atom model. We use the abstraction of energy level and jumping mechanism to describe services status and variations, and thereby to support the service demarcation and discovery. The contributions of this paper are threefold. First, we propose the abstraction of service energy level to represent the status of services, and service jumping mechanism to investigate the dynamic and evolving features as the variations and re-demarcation of cloud services according to their energy levels. Second, we present user acceptable service region to describe the services satisfying users’ requests and corresponding service discovery method, which can significantly decrease services search scope and improve the speed and precision of service discovery. Third, a series of algorithms are designed to implement the generation of field model, user acceptable service regions, service jumping mechanism, and user-oriented service discovery.We have conducted an extensive experiments on QWS dataset to validate and evaluate our proposed models and algorithms. The results show that field model can well support the representation of dynamic and evolving aspects of services in multiple clouds context and the algorithms can improve the accuracy and efficiency of service discovery.

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Acknowledgements

This research was supported by the National Natural Science Foundation of China (Grant Nos. 61532004 and 61379051).

Author information

Authors and Affiliations

  1. College of Computer, National University of Defense Technology, Changsha, 410073, China

    Shuai Zhang, Xinjun Mao, Fu Hou & Peini Liu

  2. National Laboratory for Parallel and Distributed Processing, National University of Defense Technology, Changsha, 410073, China

    Xinjun Mao

Authors
  1. Shuai Zhang
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  2. Xinjun Mao
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  3. Fu Hou
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  4. Peini Liu
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Corresponding authors

Correspondence to Shuai Zhang or Xinjun Mao.

Additional information

Shuai Zhang received his BS degree in College of Software Engineering from Sichuan University, China in 2016. He is currently a graduate student in College of Computer, National University of Defense Technology, China. His research interests include service-oriented architecture, microservice architecture and self-adaptive systems.

Xinjun Mao received his BS degree in Computer Science and Technology from College of Information Engineering, China in 1992, the MS and PhD degree in Computer Science and Technology from National University of Defense Technology, China in 1995 and 1998 respectively. His current main research interests include software engineering, mutil-agent theory and technology, self-adaptive and self-organizing systems, autonomous robot, computer education, etc. Prof. Mao is the membership of IEEE and ACM, editor board member of several international journals and PC member of more than 20 international conferences/workshops. He has published three books and more than 100 papers in his interesting research area.

Fu Hou received his BS degree in College of Computer Science from Northeastern University, China in 2010, the MS and PhD degree in Computer Science and Technology from National University of Defense Technology, China in 2013 and 2018 respectively. His research interests include cloud service, mutil-agent systems, self-organizing and game theory.

Peini Liu received her BS degree in School of Information Science and Engineering from Central South University, China in 2016. She is currently a graduate student in College of Computer, National University of Defense Technology, China. Her research interests include service-oriented architecture, microservice architecture and self-adaptive systems.

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Zhang, S., Mao, X., Hou, F. et al. A field-based service management and discovery method in multiple clouds context. Front. Comput. Sci. 13, 976–995 (2019). https://doi.org/10.1007/s11704-018-8012-1

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  • DOI: https://doi.org/10.1007/s11704-018-8012-1

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