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Big data - Concept and application for telecommunications                       5


            1       Scope

            This  Recommendation  specifies  a  framework  for  big-data-driven  networking.  The  scope  of  this
            Recommendation  includes  the  model  architecture  of  big-data-driven  networking  (bDDN),  the  high-level
            capabilities of bDDN and the interface capabilities among different planes and layers.


            2       References

            The following ITU-T Recommendations and other references contain provisions which, through reference in
            this text, constitute provisions of this Recommendation. At the time of publication, the editions indicated
            were valid. All Recommendations and other references are subject to revision; users of this Recommendation
            are  therefore  encouraged  to  investigate  the  possibility  of  applying  the  most  recent  edition  of  the
            Recommendations and other references listed below. A list of the currently valid ITU-T Recommendations is
            regularly published. The reference to a document within this Recommendation does not give it, as a stand-
            alone document, the status of a Recommendation.
            [ITU-T X.200]    Recommendation ITU-T X.200 (1994) | ISO/IEC 7498-1:1994, Information technology –
                            Open Systems Interconnection –Basic Reference Model: The basic model.
            [ITU-T Y.2770]   Recommendation ITU-T Y.2770 (2012), Requirements for deep packet inspection in next
                            generation networks.
            [ITU-T Y.3600]   Recommendation ITU-T Y.3600 (2015), Big data – Cloud computing based requirements
                            and capabilities.


            3       Definitions


            3.1     Terms defined elsewhere
            This Recommendation uses the following terms defined elsewhere:
            3.1.1   big data [ITU-T Y.3600]: A paradigm for enabling the collection, storage, management, analysis and
            visualization,  potentially  under  real-time  constraints,  of  extensive  datasets  with  heterogeneous
            characteristics.
            NOTE – Examples of datasets characteristics include high-volume, high-velocity, high-variety, etc.
            3.1.2   deep  packet  inspection  (DPI)  [ITU-T  Y.2770]:  Analysis,  according  to  the  layered  protocol
            architecture OSI-BRM [ITU-T X.200], of:
            •       payload and/or packet properties (see list of potential properties in clause 3.2.11 of  [ITU-T Y.2770]);
            •       deeper than protocol layer 2, 3 or 4 (L2/L3/L4) header information, and other packet properties

            in order to identify the application unambiguously.
            NOTE – The output of the DPI function, along with some extra information such as the flow information, is
            typically used in subsequent functions such as reporting or actions on the packet.

            3.2     Terms defined in this Recommendation
            This Recommendation defines the following terms:

            3.2.1  application-driven networking (ADN): ADN is a type of future network framework that provides the
            network programmability for the applications. ADN is application quality of experience (QOE)-centric while a
            traditional network is network efficiency-centric.

            3.2.2  big-data-driven networking (bDDN): Big-data-driven networking (bDDN) is a type of future network
            framework that collects big data from networks and applications, and generates big data intelligence based
            on  the  big  data;  it  then  provides  big  data  intelligence  to  facilitate  smarter  and  autonomous  network
            management, operation, control, optimization and security, etc.




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