{"title":"地理空间数据管理的分布式文件系统框架","authors":"Jifeng Cui, C. Li, Chunxiao Xing, Yong Zhang","doi":"10.1109/CCIS.2011.6045057","DOIUrl":null,"url":null,"abstract":"In distributed file systems, the integral management of large and small files is very important for the performance of applications. Based on Google File System, we present a framework of distributed file system to improve the management of geospatial objects. By adopting the access locality and spatial relationships among geospatial objects, we extend the metadata in the master node and add spatial indices in the data nodes. An optimized strategy is also proposed to unify the management of spatial data from multi-sources. Our experience shows that the method is available for managing geospatial data.","PeriodicalId":128504,"journal":{"name":"2011 IEEE International Conference on Cloud Computing and Intelligence Systems","volume":"23 49","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"The framework of a distributed file system for geospatial data management\",\"authors\":\"Jifeng Cui, C. Li, Chunxiao Xing, Yong Zhang\",\"doi\":\"10.1109/CCIS.2011.6045057\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In distributed file systems, the integral management of large and small files is very important for the performance of applications. Based on Google File System, we present a framework of distributed file system to improve the management of geospatial objects. By adopting the access locality and spatial relationships among geospatial objects, we extend the metadata in the master node and add spatial indices in the data nodes. An optimized strategy is also proposed to unify the management of spatial data from multi-sources. Our experience shows that the method is available for managing geospatial data.\",\"PeriodicalId\":128504,\"journal\":{\"name\":\"2011 IEEE International Conference on Cloud Computing and Intelligence Systems\",\"volume\":\"23 49\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2011-10-13\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2011 IEEE International Conference on Cloud Computing and Intelligence Systems\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CCIS.2011.6045057\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 IEEE International Conference on Cloud Computing and Intelligence Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CCIS.2011.6045057","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The framework of a distributed file system for geospatial data management
In distributed file systems, the integral management of large and small files is very important for the performance of applications. Based on Google File System, we present a framework of distributed file system to improve the management of geospatial objects. By adopting the access locality and spatial relationships among geospatial objects, we extend the metadata in the master node and add spatial indices in the data nodes. An optimized strategy is also proposed to unify the management of spatial data from multi-sources. Our experience shows that the method is available for managing geospatial data.
求助内容：
应助结果提醒方式：
京公网安备 11010802042870号
