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Short- and Long-Distance Big Data Transmission: Tendency, Challenge Issues and Enabling Technologies

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Big Data Computing and Communications (BigCom 2016)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 9784))

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Abstract

Big data is playing an important role in daily life and has developed into a new subject. Especially, an efficient big data transmission is the foundation. This is because even with a high-efficient data analysis, a limited transmission speed still cannot satisfy the requirement of real-time big data. In this article, we first make an extensive analysis on the tendency of investing short- and long-distance big data transmission, and then summarize future challenge issues urgently to be solved: (1) in short-distance big data transmission, MapReduce well satisfies the requirement of big data processing, and it will be integrated with an optical-wireless hybrid data center network. The seamless convergence of wireless and optical subnets with different physical devices and protocols cannot be ignored; (2) to mitigate the pressures of data analysis and link capacity expansion caused by using traditional transparent-bit-rate transmission, the correlated data transmission should be considered. Some enabling technologies are proposed by us for solving the challenge issues above, along with simulation results that will guide the future work.

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Acknowledgements

This work was supported in part by Fundamental Research Funds for the Central Universities (Grant Nos. N130817002, N140405005), National Natural Science Foundation of China (Grant Nos. 61302070, 61401082, 61471109, 61502075).

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Authors and Affiliations

  1. School of Computer Science and Engineering, Northeastern University, Shenyang, 110819, China

    Weigang Hou, Xu Zhang, Lei Guo, Yuyang Sun, Siqi Wang & Ye Zhang

Authors
  1. Weigang Hou
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  2. Xu Zhang
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  3. Lei Guo
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  4. Yuyang Sun
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  5. Siqi Wang
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  6. Ye Zhang
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Corresponding author

Correspondence to Weigang Hou .

Editor information

Editors and Affiliations

  1. Department of Computer Science, University of N. Carolina at Charlotte, Charlotte, North Carolina, USA

    Yu Wang

  2. Northeastern University, College of Information Science and Engineering, Shenyang, Liaoning, China

    Ge Yu

  3. Department of Electrical & Computer Engineering, Rutgers University, Piscataway, New Jersey, USA

    Yanyong Zhang

  4. Department of Electrical and Computer Engineering, University of Houston Department of Engineering, Houston, Texas, USA

    Zhu Han

  5. College of Information Science and Engineering, Northeastern University, Shenyang , Liaoning, China

    Guoren Wang

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© 2016 Springer International Publishing Switzerland

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Hou, W., Zhang, X., Guo, L., Sun, Y., Wang, S., Zhang, Y. (2016). Short- and Long-Distance Big Data Transmission: Tendency, Challenge Issues and Enabling Technologies. In: Wang, Y., Yu, G., Zhang, Y., Han, Z., Wang, G. (eds) Big Data Computing and Communications. BigCom 2016. Lecture Notes in Computer Science(), vol 9784. Springer, Cham. https://doi.org/10.1007/978-3-319-42553-5_7

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  • DOI: https://doi.org/10.1007/978-3-319-42553-5_7

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-42552-8

  • Online ISBN: 978-3-319-42553-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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