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Data-Driven Network Control

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Encyclopedia of Wireless Networks

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Background

Traditionally, network control is usually optimized for better experience of applications with the goal of avoiding congestion or reducing flow completion time in data center. To this end, enormous amount of researches have focused on adjusting parameters of certain transmission protocols, such as TCP, DCTCP, D2TCP, etc. These works can be summarized as “optimizing applications by adjusting network control.”

With the emerging of big data, tremendous amount of data is generated in end devices or by data applications in data center. As a result, how to leverage the benefit of this huge amount of data to better control the network has attracted research communities’ attention. The new paradigm, referred to as “Data- Driven network Control,” aims at improving network performance by leveraging user/applications-generated data. Compared to the traditional “optimizing applications by adjusting network control,” data- driven network control can be identified in the opposite...

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References

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Authors and Affiliations

  1. Department of Computer Science and Technology, Nanjing University, Nanjing, Jiangsu Province, China

    An Xie & Xiaoliang Wang

Authors
  1. An Xie
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  2. Xiaoliang Wang
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Corresponding author

Correspondence to Xiaoliang Wang .

Editor information

Editors and Affiliations

  1. Department of Electrical and Computer Engineering, University of Waterloo , Waterloo, ON, Canada

    Xuemin (Sherman) Shen

  2. Faculty of Business and Information Technology, University of Ontario Institute of Technology, Oshawa, ON, Canada

    Xiaodong Lin

  3. Dpt.of Electrical & Computer Engineering, University of Nebraska–Lincoln, Omaha, NE, USA

    Kuan Zhang

Section Editor information

  1. Department of Computing, The Hong Kong Polytechnic University, Kowloon, Hong Kong

    Song Guo

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Xie, A., Wang, X. (2019). Data-Driven Network Control. In: Shen, X., Lin, X., Zhang, K. (eds) Encyclopedia of Wireless Networks. Springer, Cham. https://doi.org/10.1007/978-3-319-32903-1_90-1

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  • DOI: https://doi.org/10.1007/978-3-319-32903-1_90-1

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-32903-1

  • Online ISBN: 978-3-319-32903-1

  • eBook Packages: Springer Reference Computer SciencesReference Module Computer Science and Engineering

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