摘要
针对云平台监控数据异构、数据量大、冗余量大、时序性强的特点,提出一种异构监控数据存储方法。该方法以反范式化为基础,采用统一数据表达方式兼容异构源数据,通过结合标签分离、数据压缩、预热缓存、索引等机制实现了云平台监控数据的高效存储,提高了存储空间利用率,增强了数据的可扩展性,简化数据管理,降低了数据的开发维护成本。实验结果表明:本文所提出方法满足云平台监控数据高效写入、实时更新与快速查询的实际要求。
Considering that the monitoring data was heterogeneous, large in amount, time-ordered and of great redundancy ; a method to store heterogeneous monitoring data was proposed. This method was based on anti-normalization. It adapted united data organization manner to make source data compatible. At the same time, through a combination of mechanisms like label separation, data compression, caching and index, it can also realized the high-efficiency storage of monitoring data, increased the utilization of storage space, enhanced the scalability of data, simplified the data management and reduced the development and maintenance cost of data. The results of experiment showed that this method could satisfy the actual application requirement of high-efficiency write, real-time update and quick query of monitoring data in cloud platform.
作者
鞠瑞
王丽娜
余荣威
徐来
JU Rui WANG Li-na YU Rong-wei XU Lai(Computer School, Wuhan University, Wuhan 430072, Hubei, China Key Laboratory of Aerospace Information Security and Trusted Computing Ministry of Education, Wuhan University, Wuhan 430072, Hubei, China)
出处
《山东大学学报（理学版）》
CAS
CSCD
北大核心
2017年第5期104-110,共7页
Journal of Shandong University(Natural Science)
基金
国家自然科学基金资助项目(U1536204
61373169)
国家科技支撑计划项目(2014BAH41B00)
国家高技术研究发展计划(863计划)项目(2015AA016004)
信息保障技术重点实验室开放基金(KJ-14-110
KJ-14-101)
关键词
云平台监控
数据存储
反范式化
cloud platform monitoring
data storage
anti-normalization
