{"title":"遥感影像数据处理专用云初探","authors":"Zhenju Li, Xuejun Li, Tao Liu","doi":"10.1109/IHMSC.2015.10","DOIUrl":null,"url":null,"abstract":"With the high volume, velocity and variety characteristics, remote sensing(RS) data has been regarded as a typical big data. Cloud computing is a powerful technology in big data era. The Huge computing power of cloud computing could be leveraged in RS image data processing. This paper proposed a preliminary private cloud for RS image processing. The two cornerstone components of the private cloud was private cloud storage engine(PCSE) and private cloud computing engine(PCCE). The PCSE was responsible for the data storage while the PCCE is responsible for data processing. The private cloud had been implemented and used in our RS image processing project. Experiments results illustrated that the private cloud was effective for RS image processing.","PeriodicalId":6592,"journal":{"name":"2015 7th International Conference on Intelligent Human-Machine Systems and Cybernetics","volume":"21 1","pages":"185-187"},"PeriodicalIF":0.0000,"publicationDate":"2015-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"A Preliminary Private Cloud for Remote Sensing Image Data Processing\",\"authors\":\"Zhenju Li, Xuejun Li, Tao Liu\",\"doi\":\"10.1109/IHMSC.2015.10\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"With the high volume, velocity and variety characteristics, remote sensing(RS) data has been regarded as a typical big data. Cloud computing is a powerful technology in big data era. The Huge computing power of cloud computing could be leveraged in RS image data processing. This paper proposed a preliminary private cloud for RS image processing. The two cornerstone components of the private cloud was private cloud storage engine(PCSE) and private cloud computing engine(PCCE). The PCSE was responsible for the data storage while the PCCE is responsible for data processing. The private cloud had been implemented and used in our RS image processing project. Experiments results illustrated that the private cloud was effective for RS image processing.\",\"PeriodicalId\":6592,\"journal\":{\"name\":\"2015 7th International Conference on Intelligent Human-Machine Systems and Cybernetics\",\"volume\":\"21 1\",\"pages\":\"185-187\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-08-26\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2015 7th International Conference on Intelligent Human-Machine Systems and Cybernetics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IHMSC.2015.10\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 7th International Conference on Intelligent Human-Machine Systems and Cybernetics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IHMSC.2015.10","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A Preliminary Private Cloud for Remote Sensing Image Data Processing
With the high volume, velocity and variety characteristics, remote sensing(RS) data has been regarded as a typical big data. Cloud computing is a powerful technology in big data era. The Huge computing power of cloud computing could be leveraged in RS image data processing. This paper proposed a preliminary private cloud for RS image processing. The two cornerstone components of the private cloud was private cloud storage engine(PCSE) and private cloud computing engine(PCCE). The PCSE was responsible for the data storage while the PCCE is responsible for data processing. The private cloud had been implemented and used in our RS image processing project. Experiments results illustrated that the private cloud was effective for RS image processing.