SDN helps other Vs in Big Data

SDN helps other Vs in Big Data

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Big Data is defined by a set of attributes or adjectives collectively known as the Vs of Big Data. Among these Vs, we discussed how Software-Defined Networking (SDN) helps Big Data achieve volume, velocity, and value in the previous chapters. Variety, volatility, validity, veracity, and visibility can be considered the “other Vs” that define Big Data. In this chapter, we will look into these other Vs in Big Data, and how SDN can be leveraged to achieve them. We will further discuss how SDN-based Big Data solutions are designed, and how SDN controllers are extended and exploited to create network, middleware, and system architectures for Big Data, focusing on these attributes.

Chapter Contents:

  • 12.1 Introduction to other Vs in Big Data
  • 12.1.1 Variety in Big Data
  • 12.1.2 Volatility in Big Data
  • 12.1.3 Validity and veracity in Big Data
  • 12.1.4 Visibility in Big Data
  • 12.2 SDN for other Vs of Big Data
  • 12.2.1 SDN for variety of data
  • 12.2.2 SDN for volatility of data
  • 12.2.3 SDN for validity and veracity of data
  • 12.2.4 SDN for visibility of data
  • 12.2.5 More Vs into Big Data
  • 12.3 SDN for Big Data diversity
  • 12.3.1 Use cases for SDN in heterogeneous Big Data
  • 12.3.2 Architectures for variety and quality of data
  • 12.3.3 QoS-aware Big Data applications
  • 12.3.4 Multitenant SDN and data isolation
  • 12.4 Open issues and challenges
  • 12.4.1 Scaling Big Data with SDN
  • 12.4.2 Scaling Big Data beyond data centers
  • 12.5 Summary and conclusion
  • References

Inspec keywords: Big Data; software defined networking

Other keywords: middleware; system architectures; software-defined networking; Big Data; SDN

Subjects: Computer networks and techniques; Computer communications; Data handling techniques

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