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SDN helps value in Big Data

SDN helps value in Big Data

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In this chapter, we are investigating the ways that software-defined network (SDN) [2-5] facilitates the creation of value in Big Data [6-8]. We will use the term value inclusively, meaning that it refers to the monetary value that an organization could additionally generate from Big Data, as well as the extraction of knowledge, best practices, and transfer of knowledge resulting from Big Data. In order to cover the broad spectrum of the ways SDN accommodates generating extra value from Big Data, the discussion will focus on four deployment scenarios spanning over two dimensions: the infrastructure setting and type (i.e., centralized/decentralized, public/private) and the nature of the data (i.e., at rest/streamed and private/public).

Chapter Contents:

  • 11.1 Private centralized infrastructure
  • 11.1.1 Adaptable network platform
  • 11.1.2 Adaptable data flows and application deployment
  • 11.1.3 Value of dark data
  • 11.1.4 New market for the cloud provider
  • 11.2 Private distributed infrastructure
  • 11.2.1 Adaptable resource allocation
  • 11.2.1.1 Maximizing usage of computing resources
  • 11.2.1.2 Adaptable data flows and application deployment
  • 11.2.2 Value of dark data
  • 11.3 Public centralized infrastructure
  • 11.3.1 Adaptable data flows and programmable network
  • 11.3.2 Usage of dark data
  • 11.3.3 Data market
  • 11.3.3.1 Market for stored data
  • 11.3.3.2 Market for data flows
  • 11.4 Public distributed infrastructure
  • 11.4.1 Usage of dark data
  • 11.4.2 Data market
  • 11.4.2.1 KaaS—trading markets
  • 11.4.2.2 Cooperating of data sharing
  • 11.4.3 Data as a service
  • 11.5 Open issues and challenges
  • 11.6 Chapter summary
  • References

Inspec keywords: Big Data; software defined networking

Other keywords: knowledge extraction; SDN; software-defined network; Big Data

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

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