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Open Issues and Outlook

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Big Data

Part of the book series: SpringerBriefs in Computer Science ((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.

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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)

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