Page 212 - Big data - Concept and application for telecommunications
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5                                Big data - Concept and application for telecommunications



            3.1.1   Internet of things (IoT) [ITU-T Y.4000]: A global infrastructure for the information society, enabling
            advanced  services  by  interconnecting  (physical  and  virtual)  things  based  on  existing  and  evolving
            interoperable information and communication technologies.
            NOTE  1  –  Through  the  exploitation  of  identification,  data  capture,  processing  and  communication
            capabilities, the IoT makes full use of things to offer services to all kinds of applications, whilst ensuring that
            security and privacy requirements are fulfilled.
            NOTE 2 – From a broader perspective, the IoT can be perceived as a vision with technological and societal
            implications.
            3.1.2   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.

            3.2     Terms defined in this Recommendation

            This Recommendation defines the following terms:
            3.2.1   IoT big data characteristics: IoT data set characteristics of high-volume, high-velocity and/or high-
            variety related to the challenges of IoT data set operations.
            NOTE 1 – The term ''volume'' refers to the size of the IoT data sets, the term ''velocity'' refers to the speed of
            IoT data streams in and out of the IoT data sets and the term ''variety'' refers to the diversity of IoT data types
            of the IoT data sets.
            NOTE 2 – Additional dimensions of data, such as veracity, variability, etc., may also be associated with the
            IoT big data characteristics.

            NOTE 3 – Examples of operations on IoT data sets include collection, pre-processing, transfer, storage, query,
            analysis and visualization.


            4       Abbreviations and acronyms

            This Recommendation uses the following abbreviations and acronyms:
            API         Application Programming Interface
            EHM         e-Health Monitoring

            IoT         Internet of Things
            QoE         Quality of Experience

            QoS         Quality of Service
            SLA         Service Level Agreement


            5       Conventions

            In this Recommendation:
            The keywords "is required to" indicate a requirement which must be strictly followed and from which no
            deviation is permitted if conformance to this Recommendation is to be claimed.
            The keywords "is recommended" indicate a requirement which is recommended but which is not absolutely
            required. Thus, this requirement need not be present to claim conformance.











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