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Future Lies with Edge Computing

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Edge Computing – EDGE 2022 (EDGE 2022)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 13732))

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Abstract

This paper presents a relatively comprehensive survey of recent advances in edge computing, including key drivers and business benefits for typical business use cases. A reference architecture with a supporting service model is proposed that can be used as the starting point for any organization to adopt edge computing. A list of challenges and future work is also assembled for both the academic and industrial research and development.

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Notes

  1. 1.

    I intentionally removed most (over 70) of the references I should include normally, as this paper emphasized on some fundamental principles, use cases, architecture and services. Enlisting all of them here will not offer too much more help.

References

I intentionally removed most (over 70) of the references I should include normally, as this paper emphasized on some fundamental principles, use cases, architecture and services. Enlisting all of them here will not offer too much more help.

  1. Gartner: What edge computing means for infrastructure and operations leaders (2018). https://www.gartner.com

  2. IDC: Expect 175 zettabytes of data worldwide by 2025. Network World (2016)

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  3. Deloitte: Milliseconds make millions (2020). https://www2.deloitte.com/in/en.html

  4. Markets and Markets: Edge computing market worth $101.3 billion by 2027 (2022)

    Google Scholar 

  5. Forrester: Predictions 2021: edge computing hits an inflection point (2021). https://www.forrester.com/bold

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Author information

Authors and Affiliations

  1. Services Society, Cumming, GA, 30341, USA

    Min Luo

Authors
  1. Min Luo
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Corresponding author

Correspondence to Min Luo .

Editor information

Editors and Affiliations

  1. Georgia Institute of Technology, Atlanta, GA, USA

    Min Luo

  2. Kingdee International Software Group Co., Ltd., Shenzhen, China

    Liang-Jie Zhang

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© 2022 The Author(s), under exclusive license to Springer Nature Switzerland AG

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Luo, M. (2022). Future Lies with Edge Computing. In: Luo, M., Zhang, LJ. (eds) Edge Computing – EDGE 2022. EDGE 2022. Lecture Notes in Computer Science, vol 13732. Springer, Cham. https://doi.org/10.1007/978-3-031-23470-5_7

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  • DOI: https://doi.org/10.1007/978-3-031-23470-5_7

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-23469-9

  • Online ISBN: 978-3-031-23470-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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