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Question 1/20

End to end connectivity, networks, interoperability, infrastructures and Big Data aspects related to IoT and SC&C

(Continuation of part of Questions 3/20, 4/20 and 6/20)

Motivation
Comprehensive strategies to implement Internet of Things networks and smart cities infrastructure are emerging around the globe as a response to the challenges posed by the rapid urbanization. This involves the required infrastructure software and hardware to connect end users devices with their applications and services including relevant Big Data infrastructure.

IoT networks will leverage on the widely deployed fixed and mobile networks as well as new reliable and secured networks to ensure the smart connectivity of people with everything around them.

Connecting huge number of physical and virtual objects is a core feature in IoT and smart cities and communities. Exploring hidden patterns of data, uncovering correlations and developing new insights, decisions, and conclusions are some of the crucial benefits that Big Data and Big Data analytics can bring to IoT and smart cities management and development.
 
Big Data is arriving from multiple sources at varying high levels of velocity, volume and variety. Big Data is closely related to the infrastructure and its capability to gather, store, search, share, analyze, and visualize the data at a relatively low cost. As Big Data technologies become mature, society will increasingly rely on data-driven sciences that will lead to new discoveries and data-driven decision making as the basis of confident action. One of the challenges associated with enabling Big Data in the IoT and smart cities is interoperability. Big Data will encourage data sharing including sharing of sources' details, improving the accessibility and value of existing data, interfaces, metadata, standards and the interoperability of the associated infrastructure, enhancing the ability to analyze combined datasets.

The lack of IoT interoperability results in a number of obstacles including complex integration with silos of isolated data, costly deployments and long time-to-market. Instead of providing application specific analytics, IoT and smart city applications may need a common or standardized set of Big Data analytics platforms which can be delivered as a service to IoT applications and smart city services. However, the critical nature of such applications and services, however entails that extreme measures are developed to store, process, and analyze the data in real time and in a secured fashion. This could be a rather conflicting set of requirements since ensuring that privacy and security measures are effectively applied in general needs processing time and power.

Open standard platforms can play a major role in the systems interoperability and the integration of information communication technologies (ICTs) into all aspects of city planning and operations requires ensuring interoperability of the various systems and verticals. The Internet of Things (IoT) can improve the efficiency of a city's functions by enabling the gathering and analyzing of pertinent information from all connected verticals, enterprises and consumers.

Question
This Question intends to study the use of ICT infrastructure and relevant models such as implementation and deployment models, to ensure end to end connectivity and service management. These studies include but are not limited to: access and core telecom networks and platforms, pipelines, intelligent building systems, information and traffic systems, as well as Big Data systems and facilities.

This Question includes interoperability studies of IoT devices, networks and verticals for reliable IoT communications and services which operate through horizontal platforms, regardless of manufacturer or industry.

This Question considers developing measures to effectively tackle Big Data challenges in IoT and smart cities and communities. This also includes developing standardized efficient systems for data analytics, data dimensionality reduction, pattern reduction, features selection, distributed data computation, real time Big Data encryption, and more.

Study items to be considered include, but are not limited to:

Tasks
Tasks include, but are not limited to: An up-to-date status of work under this Question is contained in the SG20 work programme
http://www.itu.int/ITU-T/workprog/wp_search.aspx?sg=20

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