{"title":"RDB-KV:用于管理海量异构传感器流数据的云数据库框架","authors":"Zhiming Ding, Limin Guo, Qi Yang","doi":"10.1109/ISDEA.2012.410","DOIUrl":null,"url":null,"abstract":"With the advances in sensor networks and in the Internet of Things, the data management problem for massive heterogeneous sensor data has become a hot research issue. It is obvious that a cloud data management framework for this purpose is greatly desirable. In this paper, we propose a Relational Data-Base and Key-Value store combined Cloud Data management (\"RDB-KV CloudDB\") framework for managing sensor data. The experimental results show that the RDB-KV CloudDB can provide satisfactory performances in large scale sensor-based systems.","PeriodicalId":267532,"journal":{"name":"2012 Second International Conference on Intelligent System Design and Engineering Application","volume":"69 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-01-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"10","resultStr":"{\"title\":\"RDB-KV: A Cloud Database Framework for Managing Massive Heterogeneous Sensor Stream Data\",\"authors\":\"Zhiming Ding, Limin Guo, Qi Yang\",\"doi\":\"10.1109/ISDEA.2012.410\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"With the advances in sensor networks and in the Internet of Things, the data management problem for massive heterogeneous sensor data has become a hot research issue. It is obvious that a cloud data management framework for this purpose is greatly desirable. In this paper, we propose a Relational Data-Base and Key-Value store combined Cloud Data management (\\\"RDB-KV CloudDB\\\") framework for managing sensor data. The experimental results show that the RDB-KV CloudDB can provide satisfactory performances in large scale sensor-based systems.\",\"PeriodicalId\":267532,\"journal\":{\"name\":\"2012 Second International Conference on Intelligent System Design and Engineering Application\",\"volume\":\"69 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2012-01-06\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"10\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2012 Second International Conference on Intelligent System Design and Engineering Application\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ISDEA.2012.410\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 Second International Conference on Intelligent System Design and Engineering Application","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISDEA.2012.410","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
RDB-KV: A Cloud Database Framework for Managing Massive Heterogeneous Sensor Stream Data
With the advances in sensor networks and in the Internet of Things, the data management problem for massive heterogeneous sensor data has become a hot research issue. It is obvious that a cloud data management framework for this purpose is greatly desirable. In this paper, we propose a Relational Data-Base and Key-Value store combined Cloud Data management ("RDB-KV CloudDB") framework for managing sensor data. The experimental results show that the RDB-KV CloudDB can provide satisfactory performances in large scale sensor-based systems.