Zheng Cui, Meilan Jiang, Karpjoo Jeong, Bomchul Kim
{"title":"传感器数据管理的云数据库服务方法","authors":"Zheng Cui, Meilan Jiang, Karpjoo Jeong, Bomchul Kim","doi":"10.1109/ICISA.2014.6847327","DOIUrl":null,"url":null,"abstract":"The management of sensor data is challenging for most scientists or engineers. A cloud database service is a novel effective approach to such data management. In this paper, we presented a SaaS service that is based on a variant of the O&M model and implemented on Google App Engine. This system was applied for the management of sensor data from the water quality monitoring of the Soyang Lake.","PeriodicalId":117185,"journal":{"name":"2014 International Conference on Information Science & Applications (ICISA)","volume":"55 63 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-05-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"A Cloud Database Service Approach to the Management of Sensor Data\",\"authors\":\"Zheng Cui, Meilan Jiang, Karpjoo Jeong, Bomchul Kim\",\"doi\":\"10.1109/ICISA.2014.6847327\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The management of sensor data is challenging for most scientists or engineers. A cloud database service is a novel effective approach to such data management. In this paper, we presented a SaaS service that is based on a variant of the O&M model and implemented on Google App Engine. This system was applied for the management of sensor data from the water quality monitoring of the Soyang Lake.\",\"PeriodicalId\":117185,\"journal\":{\"name\":\"2014 International Conference on Information Science & Applications (ICISA)\",\"volume\":\"55 63 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-05-06\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2014 International Conference on Information Science & Applications (ICISA)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICISA.2014.6847327\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 International Conference on Information Science & Applications (ICISA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICISA.2014.6847327","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A Cloud Database Service Approach to the Management of Sensor Data
The management of sensor data is challenging for most scientists or engineers. A cloud database service is a novel effective approach to such data management. In this paper, we presented a SaaS service that is based on a variant of the O&M model and implemented on Google App Engine. This system was applied for the management of sensor data from the water quality monitoring of the Soyang Lake.