Chibin Wang, Jun Luo, Shaofu Lin, Jing Zhang, Zifu Wang, Anyu Luo
{"title":"Cloud Platform for the Management of Tourism Resources","authors":"Chibin Wang, Jun Luo, Shaofu Lin, Jing Zhang, Zifu Wang, Anyu Luo","doi":"10.1109/GEOINFORMATICS.2018.8557190","DOIUrl":null,"url":null,"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.","PeriodicalId":142380,"journal":{"name":"2018 26th International Conference on Geoinformatics","volume":"2 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 26th International Conference on Geoinformatics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/GEOINFORMATICS.2018.8557190","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
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.