Cloud Platform for the Management of Tourism Resources

Chibin Wang, Jun Luo, Shaofu Lin, Jing Zhang, Zifu Wang, Anyu Luo
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引用次数: 1

Abstract

With the growing demand of applicational support for various kinds of tourism applications, this study aims to apply big data on the tourism industry and build applications for tourism resources that support the distributed storage, parallel computing, application analysis, data information sharing and interaction that support the census data of tourism resources. Deeper data support for the project of constructing tourism census database is provided by the big data support platform. Advanced, efficient and scientific platform environment of storage, calculation and analysis of the resources is also provided for escorting the goal of developing the entire-region tourism and building Guizhou as a world-famous tourism destination. Cloud computing provides fundamental support to address the challenges with shared computing resources including computing, storage, networking and analytical software. The application of these resources has fostered impressive big data advancements.
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旅游资源管理云平台
随着各类旅游应用对应用支撑的需求日益增长,本研究旨在将大数据应用于旅游产业,构建支持旅游资源普查数据的分布式存储、并行计算、应用分析、数据信息共享和交互的旅游资源应用。大数据支撑平台为旅游普查数据库建设项目提供更深层次的数据支持。提供先进、高效、科学的资源存储、计算、分析平台环境,为实现全区旅游大发展、建设世界旅游目的地的目标保驾护航。云计算为解决共享计算资源(包括计算、存储、网络和分析软件)带来的挑战提供了基础支持。这些资源的应用促进了令人印象深刻的大数据进步。
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