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REAL-TIME PROCESSING OF A DATA STREAM USING A GRAPH-BASED DATA MODEL
REAL-TIME PROCESSING OF A DATA STREAM USING A GRAPH-BASED DATA MODEL
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机译:使用基于图形的数据模型的数据流的实时处理
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摘要
A method for processing of a data stream using a graph-based data model includes receiving a data stream including data messages; disassembling the data messages data elements and metadata; generating a structured data model comprising the set of data elements based on the type of the data elements and the pattern of the data messages; instantiating a workflow to process the structured data model; configuring a CPS-G model sub-graph to add to the CPS-G model based on the type of the data elements and the pattern of the data messages; adding the CPS-G model sub-graph to the CPS-G model to form the CPS-G dataset; and storing the CPS-G dataset including the CPS-G model sub-graph in a data store for further processing by streaming computation and machine learning algorithms.
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