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            The data supplier provides data from different sources to the data broker, which can be accessed by the big
            data service provider (BDSP). The data supplier's activities include:
            −       generate data;
            −       create metadata information describing the data source(s) and relevant attributes;

            −       publish metadata information to access it.
            The data broker serves as the connection between the data supplier and the BDSP. The data broker can act
            as a clearinghouse, open data mart, etc., and its activities include:
            −       providing a meta-information registry to data suppliers for publishing their data sources;
            −       finding on-line open-data sources and registering corresponding meta-information;
            −       providing a service catalogue to the BDSP for searching usable data.

            The BDSP supports capabilities for big data analytics and infrastructure. The BDSP can act as a form of big
            data platform, extension of existing data analytics platform, etc. BDSP activities include:
            −       searching data sources (from data broker) and collecting data by requesting and crawling;

            −       storing data to a data repository;
            −       integrating data;
            −       providing tools for data analysis and visualization;
            −       supporting data management such as: data provenance, data privacy, data security, data retention
                    policy, data ownership.
            The big data service customer (BDC) is the end-user or a system, that uses the results or services from a BDSP.
            The BDC may produce new services or knowledge on consumer activities and furnish them outside of the big
            data ecosystem. BDC activities include:
            −       requesting big data services to the BDSP;
            −       using the outputs of big data services.


            9       Big data SDO activities

            This clause describes SDO's activities with big data in order to identify the current status of standardization.
            NOTE – A summary of each standard item is described in Appendix I.

            9.1     ITU-T

            ITU-T  Study  Group  13  (SG13)  has  been  studying  requirements,  capabilities  and  mechanisms  of  future
            networks.
            −       Q17/13  deals  with  cloud  computing  and  big  data.  In  November  2015,  ITU-T  SG13  published
                    [ITU-T Y.3600], "Big data – Cloud computing based requirements and capabilities".
            −       Q18/13  deals  with  cloud  functional  architecture,  infrastructure  and  networking;  the  draft
                    Recommendation [ITU-T Y.BDaaS-arch] describes an architecture for BDaaS.
            −       Q7/13 has been studying DPI in support of service/application awareness in evolving networks, and
                    initiated draft Recommendations about DPI and bDDN for supporting big data.
            ITU-T SG 17 is responsible for building confidence and security in the use of ICTs, and deals with the security
            and privacy issues of cloud computing. These activities on cloud computing can be applied to the area of big
            data as well.

            ITU-T SG 20 is responsible for IoT and its applications, with an initial focus on smart cities and communities
            (SC&C). In November 2015, Q2/20 initiated a draft Recommendation [ITU-T Y.IoT-BigData-reqts], "Specific
            requirements and capabilities of the Internet of Things for Big Data" which describes the characteristics of
            big data in the context of IoT. Table 9-1 lists the ITU-T deliverables and work items related to big data.




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