| 地震信息网络数据的动态存储方法研究 |
| |
| 引用本文： | 龚明明,叶伦强.地震信息网络数据的动态存储方法研究[J].西北地震学报,2020,42(4):1043-1048. |
| |
| 作者姓名： | 龚明明 叶伦强 |
| |
| 作者单位： | 湖南外国语职业学院 信息科学与工程系, 湖南 长沙 410116;西南民族大学 信息与教育技术中心, 四川 成都 610225 |
| |
| 基金项目： | 湖南省教育厅科学研究项目（16C1061）；西南民族大学中央高校基本科研业务费专项资金资助项目（2019NQN54）；国家自然科学基金重点项目（570314002） |
| |
| 摘 要： | 为了提高地震信息网络数据存储的效率和稳定性,本文提出一种地震信息网络数据的动态储存方法。首先,设计和分析地震信息网络数据的动态存储系统中的硬件部分,基于Hadoop的分布式集群大数据动态存储系统,整合多台存储服务器,为一个集群系统,并平衡存储服务器负载情况,获取性能指标的比例值,通过加权公式获取综合性能参数,根据综合负载指标和服务器综合指标参数获取最佳存储服务器。对本文系统、高速数据存储系统和网络编码云存储系统进行大数据动态存储对比实验。实验结果表明:地震信息网络数据的动态存储耗时最短,存储效率最快;具有较高存储稳定性,且不会出现过载问题。
|
| 关 键 词： | 动态存储 地震信息 网络数据 集群 负载指标 大数据 |
| 收稿时间： | 2019/11/8 0:00:00 |
A Dynamic Storage Method of Seismic Information Network Data |
| |
| GONG Mingming,YE Lunqiang.A Dynamic Storage Method of Seismic Information Network Data[J].Northwestern Seismological Journal,2020,42(4):1043-1048. |
| |
| Authors: | GONG Mingming YE Lunqiang |
| |
| Institution: | Department of Information Science and Engineering, Hunan College of Foreign Studies, Changsha 410116, Hunan, China; Informationand Educational Technology Center, Southwest Minzu University, Chengdu 610225, Sichuan, China |
| |
| Abstract: | This study proposed a dynamic storage of seismic information network data to improve the storage efficiency and stability of seismic information network data. First, the hardware part of the dynamic storage system of seismic information network data was designed and analyzed. Then, a dynamic storage system of a distributed big data cluster based on Hadoop was constructed. In this system, multiple storage servers were integrated into a cluster system, and the load of storage servers was balanced to obtain the proportion of performance indicators and comprehensive performance parameters through the weighted formula. Comparative experiments were performed on the proposed system, the high-speed data storage system, and the network coding cloud storage system. Experimental results showed that the dynamic storage system of the seismic information network data had the shortest time and the fastest storage efficiency. The storage stability was high, and no overload problem was detected. |
| |
| Keywords: | dynamic storage seismic information network data cluster load index big data |
| 本文献已被 CNKI 等数据库收录！ |
| 点击此处可从《西北地震学报》浏览原始摘要信息 |
| 点击此处可从《西北地震学报》下载免费的PDF全文 |
|
