{"title":"海量卫星遥感数据实时存储技术的设计与实现","authors":"Zheng Zhou, Zhinong Zhong, Jun Li, Jiangjiang Wu","doi":"10.1109/ICNISC.2017.00057","DOIUrl":null,"url":null,"abstract":"With the development of human satellite observation system, the amount of satellite remote sensing data shows explosive growth. Massive remote sensing data storage capacity of the storage system, data availability and I / O performance and other aspects of the increasingly high demands. In this paper, we study the real-time storage technology of massive satellite data in the field analysis and processing of high real-time remote sensing data, and focus on the design of multi-thread data low-delay processing technology and complex exception processing technology Effectively guarantee the data analysis and processing of data on the continuous writing of the timeliness requirements. Experiments show that the proposed method can effectively improve the real-time access efficiency of massive satellite data.","PeriodicalId":429511,"journal":{"name":"2017 International Conference on Network and Information Systems for Computers (ICNISC)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Design and Implementation of Real-Time Storage Technology for Mass Satellite Remote Sensing Data\",\"authors\":\"Zheng Zhou, Zhinong Zhong, Jun Li, Jiangjiang Wu\",\"doi\":\"10.1109/ICNISC.2017.00057\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"With the development of human satellite observation system, the amount of satellite remote sensing data shows explosive growth. Massive remote sensing data storage capacity of the storage system, data availability and I / O performance and other aspects of the increasingly high demands. In this paper, we study the real-time storage technology of massive satellite data in the field analysis and processing of high real-time remote sensing data, and focus on the design of multi-thread data low-delay processing technology and complex exception processing technology Effectively guarantee the data analysis and processing of data on the continuous writing of the timeliness requirements. Experiments show that the proposed method can effectively improve the real-time access efficiency of massive satellite data.\",\"PeriodicalId\":429511,\"journal\":{\"name\":\"2017 International Conference on Network and Information Systems for Computers (ICNISC)\",\"volume\":\"9 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-04-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 International Conference on Network and Information Systems for Computers (ICNISC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICNISC.2017.00057\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 International Conference on Network and Information Systems for Computers (ICNISC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICNISC.2017.00057","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Design and Implementation of Real-Time Storage Technology for Mass Satellite Remote Sensing Data
With the development of human satellite observation system, the amount of satellite remote sensing data shows explosive growth. Massive remote sensing data storage capacity of the storage system, data availability and I / O performance and other aspects of the increasingly high demands. In this paper, we study the real-time storage technology of massive satellite data in the field analysis and processing of high real-time remote sensing data, and focus on the design of multi-thread data low-delay processing technology and complex exception processing technology Effectively guarantee the data analysis and processing of data on the continuous writing of the timeliness requirements. Experiments show that the proposed method can effectively improve the real-time access efficiency of massive satellite data.