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Software-Defined Networks Towards Big Data: A Survey

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Book cover Advanced Machine Learning Technologies and Applications (AMLTA 2021)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1339))

Abstract

Both Big Data and Software-Defined Network have a significant impact in both academic and practical aspects. These two areas have been addressed separately, but both did not contribute to the same subset area of contribution. However, Big Data can greatly facilitate, improve, and have a great impact on Software Defined Network, and vice versa. In this paper, we show how SDN helps Big Data solve several issues regarding Big Data applications, including data processing in the data centers, data delivery and traffic monitoring. For Big Data, we also show how it can help SDN as well, including cross-layer design and defeating security attacks. Moreover, we discuss open issues that need to be addressed to consider both Big Data and SDN for future research.

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Authors and Affiliations

  1. School of Information Technology and Computer Science, Nile University, Giza, Egypt

    Amira Tarek, Belal Mohammed, Rameez Barakat, Yomna Eid, Shaymaa El-Kaliouby & Nashwa AbdElbaki

Authors
  1. Amira Tarek
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  2. Belal Mohammed
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  3. Rameez Barakat
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  4. Yomna Eid
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  5. Shaymaa El-Kaliouby
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  6. Nashwa AbdElbaki
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Corresponding author

Correspondence to Belal Mohammed .

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Editors and Affiliations

  1. Information Technology Department, Cairo University, Computer and Information Faculty, Giza, Egypt

    Aboul-Ella Hassanien

  2. College of Information Science and Engineering, Fujian University of Technology, Fuzhou, Fujian, China

    Kuo-Chi Chang

  3. International Center for Informatics Research, Beijing Jaiotong University, Beijing, China

    Tang Mincong

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Tarek, A., Mohammed, B., Barakat, R., Eid, Y., El-Kaliouby, S., AbdElbaki, N. (2021). Software-Defined Networks Towards Big Data: A Survey. In: Hassanien, AE., Chang, KC., Mincong, T. (eds) Advanced Machine Learning Technologies and Applications. AMLTA 2021. Advances in Intelligent Systems and Computing, vol 1339. Springer, Cham. https://doi.org/10.1007/978-3-030-69717-4_59

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