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Business-Oriented Dynamic Reconfiguration Model of Cloud Computing Network

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Data Science (ICPCSEE 2019)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1059))

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Abstract

The complexity and diversity of the cloud business and the continuous growth of new services put forward higher requirements for business-oriented adaptive reconstruction of cloud networks. Therefore, by introducing the construction idea of reconfiguration network into cloud network, this paper designs a business-oriented dynamic reconfiguration model of cloud computing network. In the design process of the model, the formal description of the model reconfigurable goal, the target-tree decomposition method and the target order-graph relation representation method were proposed. A rapid-reconfiguration method based on similar node transformation, a specific reconfiguration process of the model and reconfiguration optimization algorithm were also presented in detail. The model provided an effective resolution to better realize the flexibility, scalability, security and self-adaptability of the network in the cloud environment, which ensures the reconfiguration continuity of the cloud network to meet ever-changing business requirements. Finally, the performance of the model is verified, which proves the high efficiency of the model the dynamic reconfiguration.

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Acknowledgements

This work is supported by the National Natural Science Foundations of China (grant No. 61502531 and No. 61702550) and the National Key Research and Development Plan (grant No. 2018YFB0803603 and No. 2016YFB0501901).

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Correspondence to Lifeng Cao .

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Lu, X., Cao, L., Du, X., Zhu, Z. (2019). Business-Oriented Dynamic Reconfiguration Model of Cloud Computing Network. In: Mao, R., Wang, H., Xie, X., Lu, Z. (eds) Data Science. ICPCSEE 2019. Communications in Computer and Information Science, vol 1059. Springer, Singapore. https://doi.org/10.1007/978-981-15-0121-0_18

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  • DOI: https://doi.org/10.1007/978-981-15-0121-0_18

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-15-0120-3

  • Online ISBN: 978-981-15-0121-0

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