SDN helps Big Data to become fault tolerant

SDN helps Big Data to become fault tolerant

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SDN networks would have many advantages to be used as fault-tolerant Big Data infrastructures such as programmability and global network view which help monitor and control the network behavior adaptively and efficiently. This chapter studied a number of requirements to provide fault tolerance in networks that Big Data applications perform upon. First, we studied the key requirements to be fault tolerant. The network topology design is crucial to provide resiliency against node or link failure. Second, we mentioned the principle concepts of fault tolerance and elaborated on reactive and proactive methods as two common approaches to deal with the failures in networks. Third, the fault-tolerant mechanisms in SDN architecture and their advantages were elucidated. Consequently, we investigated a number of studies that leverage SDN to provide fault tolerance. Finally, this chapter was concluded by introducing open issues and challenges in SDN architecture to provide a perfect fault-tolerant network.

Chapter Contents:

  • 15.1 Big Data workloads and cloud data centers
  • 15.2 Network architectures for cloud data centers
  • 15.2.1 Switch-centric data centers
  • 15.2.2 Server-centric data centers
  • 15.3 Fault-tolerant principles
  • 15.4 Traditional approaches to fault tolerance in data centers
  • 15.4.1 Reactive approaches
  • 15.4.2 Proactive approaches
  • 15.4.3 Problems with legacy fault-tolerant solutions
  • 15.5 Fault tolerance in SDN-based data centers
  • 15.5.1 Failure detection in SDN
  • 15.5.2 Failure recovery in SDN
  • 15.6 Reactive fault-tolerant approach in SDN
  • 15.7 Proactive fault-tolerant approach in SDN
  • 15.7.1 Failure prediction in cloud data centers
  • 15.7.2 Traffic patterns of Big Data workloads
  • 15.8 Open issues and challenges
  • 15.8.1 Problems with SDN-based fault-tolerant methods
  • 15.8.2 Fault tolerance in the control plane
  • 15.9 Summary and conclusion
  • References

Inspec keywords: telecommunication network topology; Big Data; computer network reliability; software defined networking; failure analysis; software fault tolerance

Other keywords: network behavior; reactive methods; fault-tolerant mechanisms; network topology design; link failure; Big Data; proactive methods; SDN networks; global network view

Subjects: Computer communications; Computer networks and techniques; Data handling techniques; Communication network design, planning and routing; Software engineering techniques; Reliability

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