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A New Load Balance Scheme for Heterogeneous Entities in Cloud Network Convergence

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Mobile Multimedia Communications (MobiMedia 2021)

Abstract

For future Internet and next-generation network, the cloud networking convergence is one of the most popular research directions, and it has attracted widespread attention from academia as well as industry. Network adapting cloud and network cloudification are two dimensions in cloud network convergence that can break the closeness and independence between cloud and network. However, the techniques related to the network adapting cloud and network cloudification unavoidably introduce more heterogeneous devices, services and users. That disables the existing load balance schemes which are almost proposed for data centers in cloud computing environments, where the entities are typically standard hardware and software modules. As a result, the overhead and cost of load balance shcemes would be raised significantly in the progress of cloud network convergence. Therefore, in this paper, to make the most usage of heterogeneous entities and encourage the development of future Internet as well as next-generation networking, we propose a model and the requirements of load balance for heterogeneous entities in the convergence of cloud and network, then we present a concrete load balance scheme. Finally, we discuss the abilities and applications of our proposed model and scheme.

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Acknowledgment

This work is supported by National Key R&D Program of China (No.2017YFB1400700), Key R&D Program of Hainan Provincial (ZDYF2019202) and the Fundamental Research Funds for the Central Universities (JB210301).

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Correspondence to Zhiwei Zhang .

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© 2021 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Liu, J., Zhang, Z., Xu, W., Zhu, X., Dong, X. (2021). A New Load Balance Scheme for Heterogeneous Entities in Cloud Network Convergence. In: Xiong, J., Wu, S., Peng, C., Tian, Y. (eds) Mobile Multimedia Communications. MobiMedia 2021. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 394. Springer, Cham. https://doi.org/10.1007/978-3-030-89814-4_2

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  • DOI: https://doi.org/10.1007/978-3-030-89814-4_2

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-89813-7

  • Online ISBN: 978-3-030-89814-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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