a relational database and key-value store combined mechanism for massive heterogeneous sensor data management
文献类型：会议论文
| 作者 | Ding Zhiming ; Yang Qi ; Guo Limin |
| 出版日期 | 2012 |
| 会议名称 | 1st International Conference on Sensor Networks, SENSORNETS 2012 |
| 会议日期 | February 24, 2012 - February 26, 2012 |
| 会议地点 | Rome, Italy |
| 关键词 | Data processing Database systems Sensor networks |
| 页码 | 151-154 |
| 中文摘要 | Massive sensor data management is an important issue in large-scale sensor based systems such as the Internet/web of Things. However, existing relational database and cloud data management techniques are inadequate in handling large-scale sensor sampling data. On the one hand, relational databases can not efficiently process frequent data updates caused by sensor samplings. On the other hand, current cloud data management mechanisms are largely key-value stores so that they can not support complicated spatialtemporal computation involved in sensor data query. To solve the above problems, we propose a Relational Data-Base and Key-Value store combined Cloud Data management ("RDB-KV CloudDB") framework, in this paper. The experimental results show that the RDB-KV CloudDB can provide satisfactory query processing and sensor data updating performances in large scale sensor-based systems. |
| 英文摘要 | Massive sensor data management is an important issue in large-scale sensor based systems such as the Internet/web of Things. However, existing relational database and cloud data management techniques are inadequate in handling large-scale sensor sampling data. On the one hand, relational databases can not efficiently process frequent data updates caused by sensor samplings. On the other hand, current cloud data management mechanisms are largely key-value stores so that they can not support complicated spatialtemporal computation involved in sensor data query. To solve the above problems, we propose a Relational Data-Base and Key-Value store combined Cloud Data management ("RDB-KV CloudDB") framework, in this paper. The experimental results show that the RDB-KV CloudDB can provide satisfactory query processing and sensor data updating performances in large scale sensor-based systems. |
| 收录类别 | EI |
| 会议主办者 | Inst. Syst. Technol. Inf., Control Commun. (INSTICC) |
| 会议录 | SENSORNETS 2012 - Proceedings of the 1st International Conference on Sensor Networks
 |
| 语种 | 英语 |
| ISBN号 | 9789898565013 |
| 源URL | [http://ir.iscas.ac.cn/handle/311060/15691]  |
| 专题 | 软件研究所_软件所图书馆_会议论文 |
| 推荐引用方式 GB/T 7714 | Ding Zhiming,Yang Qi,Guo Limin. a relational database and key-value store combined mechanism for massive heterogeneous sensor data management[C]. 见:1st International Conference on Sensor Networks, SENSORNETS 2012. Rome, Italy. February 24, 2012 - February 26, 2012. |
入库方式： OAI收割
来源：软件研究所
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