Communication network optimization system and streaming data processing device in communication network optimization system

Abstract

The invention provides a communication network optimization system and a streaming data processing device in the communication network optimization system. The streaming data processing device comprises a streaming data generating module for loading file data obtained by different data sources as the streaming data and pushing the streaming data to a Kafka processing module; the Kafka processing module used for uniformly loading the streaming data to a Kafka cluster so as to be called by a Storm processing module; the Storm processing module which comprises a Spout node and a Bolt node, wherein the Spout node is used for reading data from the Kafka cluster and pushing the read data to the Bolt node, the Bolt node is used for performing a corresponding computation on the data pushed by the Spout node according to a preconfigured application scene and summarizing the computing result in real time, and storing the summarization result in a Redis cluster at fixed period; a Redis storage module for caching the summarized data in the memory; a data output module for providing the streaming processing result to a third-party data provider in a standard interface. By use of the streaming data processing device provided by the invention, the network optimization system can provide the real-time sensing analysis function in the user level.

Description

technical field [0001] The invention relates to the technical field of communication, in particular to a stream data processing device in a communication network optimization system and the communication network optimization system. Background technique [0002] The initial positioning of the network optimization system is mainly as an offline data analysis system to conduct comprehensive evaluation and analysis of the operation status of the mobile network, such as comprehensive evaluation of the network environment of the wireless network and the core network, evaluation of the current network coverage, interference problems, and call drop problems. Evaluate service quality and user perception, and display the evaluation results in intuitive GIS, charts, tables, etc. The realization of the above-mentioned network optimization function depends on the collection and analysis of different types of data sources such as basic data, performance data, MR data, parameter data, and...

AI Technical Summary

Problems solved by technology

The realization of the above network optimization function depends on the collection and analysis of different types of data sources such as basic data, performance data, MR data, parameter data, and bill data in the network. Usually, the above data processing needs to be periodically

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