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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。
Aiming at the heterogeneity of monitoring data of cloud platform, large amount of data, large amount of redundancy and strong timing sequence, this paper proposes a method of heterogeneous monitoring data storage. This method is based on anti-normatization and adopts unified data representation to be compatible with heterogeneous source data. By combining tag separation, data compression, preheating cache and indexing, this method realizes the efficient storage of cloud platform monitoring data and improves the utilization of storage space Rate, enhanced data scalability, simplified data management, reduced data development and maintenance costs. The experimental results show that the proposed method meets the actual requirements of efficient writing, real-time updating and quick query of cloud platform monitoring data.