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METHODS AND SYSTEMS THAT EFFICIENTLY STORE METRIC DATA TO ENABLE PERIOD AND PEAK DETECTION

机译:有效存储度量数据以进行周期和峰值检测的方法和系统

摘要

The current document is directed to methods and systems that collect metric data within computing facilities, including large data centers and cloud-computing facilities. In a described implementation, input metric data is compressed by replacing each metric data point with a one-bit, two-bit, four-bit, or eight-bit compressed data value. During a first time window following reception of a metric data point, the metric data point remains available in uncompressed form to facilitate data analysis and monitoring functionalities that use uncompressed metric data. During a second time window, the metric data point is compressed and stored in memory, where the compressed data point remains available for data analysis and monitoring functionalities that use compressed metric data for detection of peaks, periodic patterns, and other characteristics. Finally, the compressed data point is archived in mass storage, where it remains available to data-analysis and management functionalities for a lengthy time period.
机译:当前文档针对在包括大型数据中心和云计算设施在内的计算设施内收集度量标准数据的方法和系统。在所描述的实现中,通过用一位,两位,四位或八位压缩数据值替换每个度量数据点来压缩输入度量数据。在接收到度量数据点之后的第一时间窗口期间,度量数据点保持未压缩形式可用,以促进数据分析和监视使用未压缩度量数据的功能。在第二个时间窗口期间,将度量数据点压缩并存储在内存中,其中压缩数据点仍可用于数据分析和监视功能,这些功能使用压缩度量数据来检测峰值,周期性模式和其他特征。最后,压缩后的数据点将存储在大容量存储中,在很长的一段时间内仍可用于数据分析和管理功能。

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