Invention Grant
- Patent Title: Methods and systems that efficiently store and analyze multidimensional metric data
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Application No.: US15806187Application Date: 2017-11-07
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Publication No.: US10558543B2Publication Date: 2020-02-11
- Inventor: Ashot Nshan Harutyunyan , Arnak Poghosyan , Naira Movses Grigoryan , Vahe Khachikyan , Nshan Sharoyan
- Applicant: VMware, Inc.
- Applicant Address: US CA Palo Alto
- Assignee: VMware, Inc.
- Current Assignee: VMware, Inc.
- Current Assignee Address: US CA Palo Alto
- Main IPC: G06F15/173
- IPC: G06F15/173 ; G06F11/30

Abstract:
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, two or more metric-data sets are combined to generate a multidimensional metric-data set. The multidimensional metric-data set is compressed for efficient storage by clustering the multidimensional data points within the multidimensional metric-data set to produce a covering subset of multidimensional data points and by then representing the multidimensional-data-point members of each cluster by a cluster identifier rather than by a set of floating-point values, integer values, or other types of data representations. The covering set is constructed to ensure that the compression does not result in greater than a specified level of distortion of the original data.
Public/Granted literature
- US20190138420A1 METHODS AND SYSTEMS THAT EFFICIENTLY STORE AND ANALYZE MULTIDIMENSIONAL METRIC DATA Public/Granted day:2019-05-09
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