Page 223 - Big data - Concept and application for telecommunications

Big data - Concept and application for telecommunications 5

– The ability to support data analysis for classifying the type of IoT services, the operational states of
devices and the network status.
– The ability to support distributed data analysis.

8.5 Big data transfer

Big data transfer capability implements the data transfer operation as described in clause 7.1.2.
According to the requirements in clauses 7.2.5, 7.3.4, 7.4.1, 7.5.4 and 7.6.4, the following abilities are
provided by the big data transfer capability:
– The ability to support IoT data transfer configuration concerning required network resources (e.g.,
data buffer and network QoS) to enable transfer quality.
– The ability to support aggregation of IoT data to enable reduction of transfer overhead.
– The ability to support transfer buffer management to mitigate network congestion issues.

– The ability to compress IoT data before transfer in order to reduce transfer load.

8.6 Big data storage
Big data storage capability implements the data storage operation as described in clause 7.1.3.

According to the requirements in clauses 7.2.3, 7.3.3, 7.5.3 and 7.6.3, the following abilities are provided by
the big data storage capability:

– The ability to support secure and high-volume data storage for the IoT data with various formats.
The data storage can be either locally or remotely.
NOTE – For high-volume data storage, cloud based data storage infrastructure can be used. For time
critical services, edge computing based data storage can be used.
– The ability to support secure and high-volume data storage for the IoT data with semantic
annotation. The semantic data and non-semantic data can be separately stored in different
databases to facilitate the IoT data processing.
– The ability to support high-volume data read and write operations with fast speed. Data caching,
synchronization and indexing mechanisms can be used to achieve fast speed IoT data read and write.

– The ability to support data integrity checking and life cycle management of stored data (e.g.,
classification of data activation level and storage in different storage spaces as appropriate).

8.7 Big data time synchronization management
Big data time synchronization management capability provides support to IoT data operations and
implements time synchronization and time calibration among different components of the IoT.
According to the requirements in clauses 7.2.2, 7.3.2 and 7.5.2, the following abilities are provided by the big
data time synchronization management capability:
– The ability to provide time synchronization and time calibration among different components in the
IoT to ensure correct time stamping of IoT data.
– The ability to support the following features, but not limited to:
– high precision and low power consumption
NOTE – Different components of the IoT may require different time precision and power
consumption levels.
– Time conflict management and negotiation among different components in the IoT.
– Support of centralized synchronization mode or distributed synchronization mode.

8.8 Big data visualization
Big data visualization capability implements the data visualization operation as described in clause 7.1.6.

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