Page 360 - Big data - Concept and application for telecommunications
P. 360

7                                Big data - Concept and application for telecommunications


            −       Creating new service models using big data analytics.
            Big data technology reduces cost by:
            −       Scale-out of data storage;

            −       Identifying and reducing inefficiencies.


            7       Related technical areas of big data

            7.1     Cloud computing
            Cloud computing is a paradigm for enabling network access to a scalable and elastic pool of shareable physical
            or virtual resources with self-service provisioning and administration on-demand. Key characteristics of cloud
            computing are [ITU-T Y.3500]:
            −       Broad network access: a feature where physical and virtual resources are available over a network
                    and accessed through standard mechanisms that promote use by heterogeneous client platforms;
            −       Measured service: a feature where the metered delivery of cloud services is such that usage can be
                    monitored, controlled, reported, and billed. This is an important feature needed to optimize and
                    validate the delivered cloud service;
            −       Multi-tenancy:  a  feature  where  physical  or  virtual  resources  are  allocated  in  such  a  way  that
                    multiple  tenants  and  their  computations  and  data  are  isolated  from,  and  inaccessible  to,  one
                    another;
            −       On-demand  self-service:  a  feature  where  a  cloud  service  customer  can  provision  computing
                    capabilities, as needed, automatically or with minimal interaction with the cloud service provider;
            −       Rapid elasticity and scalability: a feature where physical or virtual resources can be rapidly and
                    elastically adjusted, in some cases automatically, to quickly increase or decrease resources;

            −       Resource pooling: a feature where a cloud service provider's physical or virtual resources can be
                    aggregated in order to serve one or more cloud service customers.

            Big data needs on-demand high-performance data processing and distributed storage as well as a variety of
            tools required to accomplish activities of the big data ecosystem. The burst nature of workloads makes cloud
            computing more appropriate for big data challenges such as scalability and timeliness [ITU-T Y.3600].

            The relationship of cloud computing and big data mainly concerns two aspects:
            1)      Cloud computing can support big data using cloud infrastructure and services;
            2)      Big data services can provide public cloud analysis services, such as big data as a service (BDaaS).

            7.2     Internet of things

            The Internet of things (IoT) is 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 [ITU-T Y.2060].
            The IoT can be perceived as a far-reaching vision with technological and societal implications. From the
            perspective of technical standardization, the IoT can be viewed as a global infrastructure for the information
            society, enabling advanced services by interconnecting (physical and virtual) things based on existing and
            evolving  interoperable  ICT.  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,
            while ensuring that security and privacy requirements are fulfilled.
            Big data in the context of IoT has some specific characteristics which do not necessarily pertain to big data in
            other  technical  areas.  The  prominent  characteristics  of  big  data  in  the  context  of  IoT  are:  high  variety
            (heterogeneity  of  data  types  and  sources),  high  velocity  (high  frequency  of  data  generation)  and  high
            volatility (data generated in a non-persistent stateless manner).




            352      Standardization efforts at a glance – roadmap
   355   356   357   358   359   360   361   362   363   364   365