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SDN helps volume in Big Data

SDN helps volume in Big Data

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Both Big Data and SDN are described in detail in previous chapters. This chapter investigates how SDN architecture can leverage its unique features to mitigate the challenges of Big Data volume. Accordingly, first, we provide an overview of Big Data volume, its effects on the underlying network, and mention some potential SDN solutions to address the corresponding challenges. Second, we elaborate more on the network-monitoring, traffic-engineering, and fault-tolerant mechanisms which we believe they may help to address the challenges of Big Data volume. Finally, this chapter is concluded with some open issues.

Chapter Contents:

  • 9.1 Big Data volume and SDN
  • 9.2 Network monitoring and volume
  • 9.2.1 Legacy traffic monitoring solutions
  • 9.2.2 SDN-based traffic monitoring
  • 9.3 Traffic engineering and volume
  • 9.3.1 Flow scheduling
  • 9.3.1.1 Application-aware
  • 9.3.1.2 Traffic-aware
  • 9.3.1.3 Interface mismatch: a use case of flow scheduling
  • 9.3.2 TCP incast
  • 9.3.3 Dynamically change network configuration
  • 9.4 Fault tolerant and volume
  • 9.5 Open issues
  • 9.5.1 Scalability
  • 9.5.2 Resiliency and reliability
  • 9.5.3 Conclusion
  • References

Inspec keywords: Big Data; software fault tolerance; software defined networking; telecommunication traffic

Other keywords: fault-tolerant mechanisms; Big Data volume; traffic-engineering; network-monitoring; SDN architecture

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

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