Scope and Field of Application
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The present document defines a high-level framework of the data mechanism including data acquiring and processing supporting AI enabled network operation and maintenance, as well as service orchestration and management. The realization of intelligent network depends on the big data, AI algorithms and computing resources. Therefore, effective data management and operation is extremely important. This work item is purposed to draft a GR of data mechanism to better serve ENI system. The present document mainly covers the following aspects: 1.Data classification in terms of the data sources including Network management system, Network elements, servers, terminals and external environment data, data characteristics (static data, sequential data) and data format. 2.Data operation including data collection, data storage, data processing, data sharing and data management. a)Data collection including description about collection modes, e.g. Pull (query/request response) and Push (publish/notify), and data collection techniques, e.g. telemetry. b)Data storage including data storage recommendation and data storage platforms. c)Data processing including data cleaning and data correlation. d)Data sharing including data sharing and model sharing. e)Data management including metadata management, data security management and data quality management. 3.Data acquisition and processing methods of the selected use cases proposed in ETSI GR ENI 001 [i.1] for ENI systems executing intelligent tasks.
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