Construction of a rural tourism information service management system for multi-source heterogeneous data processing

This study offers an integrated service management system for rural tourist information based on a cloud platform to address the three main issues of high platform concur- rency, difficulty storing and managing data, and trouble sharing data functions. Three levels-data, process, and architecture-are considered in the analysis and design of the platform. The Hadoop data storage system makes possible the collection, storage, administration, and exchange of data functions for large amounts of heterogeneous data from many different sources by utilising Netty data transmission technology, hybrid data storage technology, and the Web Foundation. The results demonstrate that the system's response time is low, and the CPU consumption time and the average utilisation rate meet the actual needs. They resolve issues with the current rural tourism platforms application, such as the difficulty of data collection, the low rate of reuse, the low rate of sharing, the lack of timely updates, and severe island phenomena.

Automated summary

This study presents an integrated service management system for rural tourist information based on a cloud platform. It addresses the challenges of high platform concurrency, data storage and management difficulties, and data function sharing troubles. The platform design considers three levels - data, process, and architecture. By utilizing Netty data transmission technology, hybrid data storage technology, and the Web Foundation, the Hadoop data storage system enables the collection, storage, administration, and exchange of large amounts of heterogeneous data from various sources. The results demonstrate the system's low response time, meeting the actual needs of CPU consumption time and average utilization rate. It effectively resolves issues in current rural tourism platform applications, including data collection difficulties, low reuse rate, low sharing rate, lack of timely updates, and severe island phenomena.