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METHODS AND SYSTEMS THAT EFFICIENTLY STORE METRIC DATA

机译:有效地存储度量数据的方法和系统

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, lower and higher metric-data-value thresholds are used to partition collected metric data into outlying metric data and inlying metric data. The inlying metric data is quantized to compress the inlying metric data and adjacent data points having the same quantized metric-data values are eliminated, to further compress the inlying metric data. The resulting compressed data includes original metric-data representations for outlier data points and compressed metric-data representations for inlier data points, providing accurate restored metric-data values for significant data points when compressed metric data is decompressed.
机译:目前的文件旨在收集计算设施中的度量数据的方法和系统,包括大数据中心和云计算设施。在所描述的实现中,较低和较高的度量数据值阈值用于将收集的度量数据分区为偏远的度量数据和违法度量数据。将依次公制数据量化以压缩违法的度量数据,并且消除了具有相同量化度量数据值的相邻数据点,以进一步压缩依赖度量数据。产生的压缩数据包括用于Inlier数据点的异常数据点和压缩度量数据表示的原始度量数据表示,当压缩度量数据被解压缩时,为重要数据点提供准确的恢复度量数据值。

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