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Resource Allocation Method of Edge-Side Server Based on Two Types of Virtual Machines in Cloud and Edge Collaborative Computing Architecture

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Edge Computing and IoT: Systems, Management and Security (ICECI 2020)

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Abstract

The process of large-scale manufacturing workshops is complex, and the traditional fixed resource allocation method will cause unbalanced load. Aiming at this problem, an edge-side server resource allocation algorithm based on cloud collaborative architecture has been designed and implemented. By defining the three-dimensional information of each IO-intensive virtual machine in the compute node, the priority of the IO-intensive virtual machine is calculated. Through analyzing the relationship between the CPU-intensive virtual machine and the host physical machine, the number of CPU cores for different tasks of the CPU-intensive virtual machine is obtained, and the hardware resources are uniformly allocated in real time according to the maximum priority list. The experimental results show that the proposed algorithm can significantly satisfy the requirements of high throughput and low latency in large manufacturing workshops, and optimize the resource allocation for actual production.

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Acknowledgement

This paper is supported by Natural Science Foundation of China (No. 61871432, No. 61702178), The Natural Science Foundation of Hunan Province (No. 2020JJ4275, 2020JJ6086, 2019JJ60008, 2018JJ4063).

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Authors and Affiliations

  1. School of Computer Science, Hunnan University of Technology, Zhuzhou, 412007, China

    Junfeng Man, Longqian Zhao, Cheng Peng & Qianqian Li

Authors
  1. Junfeng Man
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  2. Longqian Zhao
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  3. Cheng Peng
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  4. Qianqian Li
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Corresponding author

Correspondence to Cheng Peng .

Editor information

Editors and Affiliations

  1. Hunan University, Hunan, China

    Hongbo Jiang

  2. Old Dominion University, Norfolk, VA, USA

    Hongyi Wu

  3. Hunan University, Changsha, China

    Fanzi Zeng

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Man, J., Zhao, L., Peng, C., Li, Q. (2021). Resource Allocation Method of Edge-Side Server Based on Two Types of Virtual Machines in Cloud and Edge Collaborative Computing Architecture. In: Jiang, H., Wu, H., Zeng, F. (eds) Edge Computing and IoT: Systems, Management and Security. ICECI 2020. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 368. Springer, Cham. https://doi.org/10.1007/978-3-030-73429-9_5

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  • DOI: https://doi.org/10.1007/978-3-030-73429-9_5

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-73428-2

  • Online ISBN: 978-3-030-73429-9

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