面向云平台的异构监控数据存储方法
发布时间：2018-08-26 06:52
【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。
[Abstract]:Aiming at the characteristics of heterogeneous monitoring data, large amount of data, large redundancy and strong timing, a storage method of heterogeneous monitoring data is proposed. This method is based on reverse paradigm, and uses unified data representation to be compatible with heterogeneous source data. By combining label separation, data compression, preheating cache, index and other mechanisms, the cloud platform monitoring data can be stored efficiently. It improves the utilization of storage space, enhances the expansibility of data, simplifies data management, and reduces the cost of data development and maintenance. The experimental results show that the method proposed in this paper can meet the practical requirements of the cloud platform monitoring data efficiently writing, real-time updating and fast query.
【作者单位】： 武汉大学计算机学院;武汉大学空天信息安全与可信计算教育部重点实验室;
【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)
【分类号】：TP311.13;TP333
，
本文编号：2204071
[Abstract]:Aiming at the characteristics of heterogeneous monitoring data, large amount of data, large redundancy and strong timing, a storage method of heterogeneous monitoring data is proposed. This method is based on reverse paradigm, and uses unified data representation to be compatible with heterogeneous source data. By combining label separation, data compression, preheating cache, index and other mechanisms, the cloud platform monitoring data can be stored efficiently. It improves the utilization of storage space, enhances the expansibility of data, simplifies data management, and reduces the cost of data development and maintenance. The experimental results show that the method proposed in this paper can meet the practical requirements of the cloud platform monitoring data efficiently writing, real-time updating and fast query.
【作者单位】： 武汉大学计算机学院;武汉大学空天信息安全与可信计算教育部重点实验室;
【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)
【分类号】：TP311.13;TP333
，
本文编号：2204071
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