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A Stepwise Path Selection Scheme Based on Multiple QoS Parameters Evaluation in SDN

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Collaborative Computing: Networking, Applications and Worksharing (CollaborateCom 2021)

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Abstract

Nowadays, the best-effort service can not guarantee the quality of service (QoS) for all kinds of services. QoS routing is an important method to guarantee QoS requirements. It involves path selection for flows based on the current network status and the performance criteria of the service requirements. However, it is difficult for proposed solutions to obtain all the available paths owing to not fully considering all the QoS parameters of paths. In this paper, we propose SWQoS, a novel, universal, and stepwise QoS guarantee scheme based on multiple QoS parameter evaluation for selecting the available paths including preferred paths, satisfied paths and reluctant paths in SDN. The experiments show that SWQoS can select all the available paths that meet the performance criteria of the service requirements and have better QoS parameter performance compared with other path selection methods.

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Acknowledgment

This work is supported by the National Natural Science Foundation of China (61662054), the Major Project of Inner Mongolia Natural Science Foundation (2019ZD15), Research and Application of Key Technology of Big Data for Discipline Inspection and Supervision (No. 2019GG372), Inner Mongolia Colleges and Universities of Young Technology Talent Support Program under Grant No. NJYT-19-A02, and Inner Mongolia application research and development project (201702168). It was also sponsored by the Ecological Big Data Engineering Research Center of the Ministry of Education, Cloud Computing and Service Software Engineering Laboratory of Inner Mongolia Autonomous Region, National Local Joint Engineering Research Center of Intelligent Information Processing Technology for Mongolian, Social Computing and Data Processing Key Laboratory of Inner Mongolia Autonomous Region, Big Data Analysis Technology Engineering Research Center of Inner Mongolia Autonomous Region, Natural Science Foundation of Inner Mongolia under Grand No. 2020MS06030 and Digital Engineering Demonstration of Mongolian Music Resources and Key Technology Research, Key Technology Research Project in Inner Mongolia Autonomous Region No. 2019GG147, Ministry of Education Industry-University Cooperation Collaborative Education Project No. 201902035056, 202002215071, 202002142055.

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Authors and Affiliations

  1. College of Computer Science, Ecological Big Data Engineering Research Center of the Ministry of Education, Cloud Computing and Service Software Engineering Laboratory of Inner Mongolia Autonomous Region, National and Local Joint Engineering Research Center of Intelligent Information Processing Technology for Mongolian, Social Computing and Data Processing Key Laboratory of Inner Mongolia Autonomous Region, Big Data Analysis Technology Engineering Research Center of Inner Mongolia Autonomous Region, Inner Mongolia University, Hohhot, Inner Mongolia, China

    Lin Liu, Jian-Tao Zhou & Xiao-Yong Guo

  2. College of Computer Science and Technology, Inner Mongolia Normal University, Hohhot, Inner Mongolia, China

    Lin Liu

  3. College of Computer Information and Management, Inner Mongolia University of Finance and Economics, Hohhot, Inner Mongolia, China

    Hai-Feng Xing

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  1. Lin Liu
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  2. Jian-Tao Zhou
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  3. Hai-Feng Xing
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  4. Xiao-Yong Guo
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Editors and Affiliations

  1. Shanghai University, Shanghai, China

    Honghao Gao

  2. Xi’an Jiaotong-Liverpool University, Suzhou, China

    Xinheng Wang

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Liu, L., Zhou, JT., Xing, HF., Guo, XY. (2021). A Stepwise Path Selection Scheme Based on Multiple QoS Parameters Evaluation in SDN. In: Gao, H., Wang, X. (eds) Collaborative Computing: Networking, Applications and Worksharing. CollaborateCom 2021. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 406. Springer, Cham. https://doi.org/10.1007/978-3-030-92635-9_29

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  • DOI: https://doi.org/10.1007/978-3-030-92635-9_29

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  • Online ISBN: 978-3-030-92635-9

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