Skip to main content
Book cover

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.

This is a preview of subscription content, access via your institution.

Chapter
USD   29.95
Price excludes VAT (USA)
  • DOI: 10.1007/978-3-319-06245-7_7
  • Chapter length: 9 pages
  • Instant PDF download
  • Readable on all devices
  • Own it forever
  • Exclusive offer for individuals only
  • Tax calculation will be finalised during checkout
eBook
USD   54.99
Price excludes VAT (USA)
  • ISBN: 978-3-319-06245-7
  • Instant PDF download
  • Readable on all devices
  • Own it forever
  • Exclusive offer for individuals only
  • Tax calculation will be finalised during checkout
Softcover Book
USD   69.99
Price excludes VAT (USA)
Learn about institutional subscriptions
Fig. 7.1

References

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

    Google Scholar 

  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.

    Google Scholar 

  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.

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. School of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan, China

    Min Chen & Yin Zhang

  2. Auburn University, Auburn, AL, USA

    Shiwen Mao

  3. Electrical and Computer Engineering, The University of British Columbia, Vancouver, BC, Canada

    Victor C. M. Leung

Authors
  1. Min Chen
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Shiwen Mao
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Yin Zhang
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Victor C. M. Leung
    View author publications

    You can also search for this author in PubMed Google Scholar

Rights and permissions

Reprints and Permissions

Copyright information

© 2014 The Author(s)

About this chapter

Cite this chapter

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

Download citation

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

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-06244-0

  • Online ISBN: 978-3-319-06245-7

  • eBook Packages: Computer ScienceComputer Science (R0)