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Big Data pp 81–89Cite as

Open Issues and Outlook

Part of the SpringerBriefs in Computer Science book series (BRIEFSCOMPUTER)

Abstract

In the previous chapters, we review the background and state-of-the-art of big data. In Fig. 7.1, it illustrates all the key technologies of big data introduced in this book. In this chapter, we summarize the research hot spots and suggest possible research directions of big data. We also discuss potential development trends in this broad research and application area.

Keywords

  • Cloud Computing
  • Data Provenance
  • Network Function Virtualization
  • Advance Persistent Threat
  • Social Search Engine

These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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  • DOI: 10.1007/978-3-319-06245-7_7
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Fig. 7.1

References

  1. Predrag Tasevski. Password attacks and generation strategies. Tartu University: Faculty of Mathematics and Computer Sciences, 2011.

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  2. Viktor Mayer–Schönberger and Kenneth Cukier. Big Data: A Revolution that Will Transform how We Live, Work, and Think. Eamon Dolan/Houghton Mifflin Harcourt, 2013.

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  3. McKeown, Nick and Anderson, Tom and Balakrishnan, Hari and Parulkar, Guru and Peterson, Larry and Rexford, Jennifer and Shenker, Scott and Turner, Jonathan. OpenFlow: enabling innovation in campus networks. ACM SIGCOMM Computer Communication Review, 38(2):69–77, 2008.

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Chen, M., Mao, S., Zhang, Y., Leung, V.C.M. (2014). Open Issues and Outlook. In: Big Data. SpringerBriefs in Computer Science. Springer, Cham. https://doi.org/10.1007/978-3-319-06245-7_7

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  • DOI: https://doi.org/10.1007/978-3-319-06245-7_7

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-06244-0

  • Online ISBN: 978-3-319-06245-7

  • eBook Packages: Computer ScienceComputer Science (R0)