-
公开(公告)号：US20180365298A1
公开(公告)日：2018-12-20
申请号：US15627987
申请日：2017-06-20
Applicant: VMware, Inc.
Inventor： Arnak Poghosyan , Ashot Nshan Harutyunyan , Naira Movses Grigoryan
CPC classification number: G06F16/2462 , G06F11/00 , G06F16/2282 , G06F16/2477 , G06F17/18 , G06K9/00536 , G06K9/6272 , G06K9/6284 , H03M7/00 , H03M7/30 , H03M7/3059
Abstract: Automated methods and systems to reduce the size of time series data while maintaining outlier data points are described. The time series data may be read from a data-storage device of a physical data center. Clusters of data points of the time series data are determined. A normalcy domain of the time series data and outlier data points of the time series data is determined. The normalcy domain of the time series data comprises ranges of values associated with each clusters of data points. The outlier data points are located outside the ranges. Quantized time series data are computed from the normalcy domain. When the loss of information due to quantization is less than a limit, the quantized time series data is compressed. The time series data in the data-storage device is replaced with the compressed time series data and outlier data points.
-
公开(公告)号：US20180349221A1
公开(公告)日：2018-12-06
申请号：US15607944
申请日：2017-05-30
Applicant: VMware, Inc.
Inventor： Ashot Nshan Harutyunyan , Arnak Poghosyan , Naira Movses Grigoryan , Nicholas Kushmerick , Harutyun Beybutyan
CPC classification number: G06F11/0781 , G06F11/0754 , G06F11/079
Abstract: Methods and systems are directed to detecting and classifying changes in a distributed computing system. Divergence value are computed from distributions of different types of event messages generated in time intervals of a sliding time window. Each divergence value is a measure of change in types of events generated in each time interval. When a divergence value, or a rate of change in divergence values, exceeds a threshold, the time interval associated with the threshold violation is used to determine a change point in the operation of the distributed computing system. Based on the change point, a start time of the change is determined. The change is classified based on various previously classified change points in the disturbed computing system. A recommendation may be generated to address the change based on the classification of the change.
-
公开(公告)号：US09996444B2
公开(公告)日：2018-06-12
申请号：US14314490
申请日：2014-06-25
Applicant: VMware, Inc.
CPC classification number: G06F11/3452 , G05B23/0227 , G06F11/0706 , G06F11/0754 , G06F11/3409 , G06F2201/81
Abstract: This disclosure is directed to automated methods and systems for calculating hard thresholds used to monitor time-series data generated by data-generating entity. The methods are based on determining a cumulative distribution that characterizes the probability that data values of time-series data generated by the data-generating entity violate a hard threshold. The hard threshold is calculated as an inverse of the cumulative distribution based on a user defined risk confidence level. The hard threshold may then be used to generate alerts when time-series data generated later by the data-generating entity violate the hard threshold.
-
84.发明申请公开(公告)号：US20170373937A1
公开(公告)日：2017-12-28
申请号：US15195728
申请日：2016-06-28
Applicant: VMware, Inc.
CPC classification number: H04L41/0853 , H04L41/0233 , H04L41/048 , H04L41/0893 , H04L41/0896 , H04L43/045 , H04L43/0817 , H04L67/10
Abstract: The current document is directed to methods and subsystems within computing systems, including distributed computing systems, that collect, store, process, and analyze population metrics for types and classes of system components, including components of distributed applications executing within containers, virtual machines, and other execution environments. In a described implementation, a graph-like representation of the configuration and state of a computer system included aggregation nodes that collect metric data for a set of multiple object nodes and that collect metric data that represents the members of the set over a monitoring time interval. Population metrics are monitored, in certain implementations, to detect outlier members of an aggregation.
-
Patent Agency Ranking
公开(公告)号：US20170353362A1
公开(公告)日：2017-12-07
申请号：US15174017
申请日：2016-06-06
Applicant: VMware, Inc.
Inventor： Ashot Nshan Harutyunyan , Naira Movses Grigoryan , Arnak Poghosyan
IPC: H04L12/24
CPC classification number: H04L41/5016 , H04L43/08 , H04L43/16
Abstract: Methods recommend to data center customers those attributes of a data center infrastructure and application program that are associated with service-level objective (“SLO”) metric degradation and may be recorded in problem definitions. In other words, a data center customer is offered to “codify” problems primarily with atomic abnormality conditions on indicated attributes that decrease the SLO by some degree that the data center customer would like to be aware. As a result, the data center customer is warned of potentially significant SLO decline in order to prevent unwanted loss and take any necessary actions to prevent active anomalies. Methods also generate patterns of attributes that constitute core structures highly associated with degradation of the SLO metric.
-
公开(公告)号：US20170255537A1
公开(公告)日：2017-09-07
申请号：US15479182
申请日：2017-04-04
Applicant: VMware, Inc.
Inventor： Naira Movses Grigoryan , Mazda A. Marvasti , Arnak Poghosyan , Ashot Nshan Harutyunyan , Yanislav Yankov
CPC classification number: G06F11/3452 , G06F11/07 , G06F11/324 , G06F11/3433 , G06F11/3438 , G06F11/3495 , G06F2201/81 , G06F2201/875 , Y02D10/34
Abstract: This disclosure is directed to data-agnostic computational methods and systems for adjusting hard thresholds based on user feedback. Hard thresholds are used to monitor time-series data generated by a data-generating entity. The time-series data may be metric data that represents usage of the data-generating entity over time. The data is compared with a hard threshold associated with usage of the resource or process and when the data violates the threshold, an alert is typically generated and presented to a user. Methods and systems collect user feedback after a number of alerts to determine the quality and significance of the alerts. Based on the user feedback, methods and systems automatically adjust the hard thresholds to better represent how the user perceives the alerts.
-
公开(公告)号：US09742435B1
公开(公告)日：2017-08-22
申请号：US15188834
申请日：2016-06-21
Applicant: VMware, Inc.
Inventor： Arnak Poghosyan , Ashot Nshan Harutyunyan , Naira Movses Grigoryan , Vahe Khachikyan , Meruzhan Kerobyan
CPC classification number: H03M7/3082 , G06F11/34 , H03M7/30 , H03M7/3064 , H03M7/40 , H03M7/46 , H04L29/08072 , H04L29/08144 , H04L41/046 , H04L43/04 , H04L43/0817 , H04L69/04
Abstract: The current document is directed to a multi-stage metric-data compression method and subsystem for compressing metric data collected and stored within distributed computing systems to facilitate computer-system management and administration. In a described implementation, metric data is partitioned into constant metric data, low-variability metric data, and high-variability metric data. High-variability metric data is compressed by identifying a set of basis metrics, or independent metrics, with respect to which a remaining set of dependent metrics can be expressed using coefficient multipliers. The high-variability metric data can then be stored as a set of independent metrics and set of coefficients, along with a small amount of additional data.
-
公开(公告)号：US09632905B2
公开(公告)日：2017-04-25
申请号：US14312815
申请日：2014-06-24
Applicant: VMware, Inc.
Inventor： Naira Movses Grigoryan , Mazda A. Marvasti , Arnak Poghosyan , Ashot Nshan Harutyunyan , Yanislav Yankov
CPC classification number: G06F11/3452 , G06F11/07 , G06F11/324 , G06F11/3433 , G06F11/3438 , G06F11/3495 , G06F2201/81 , G06F2201/875
Abstract: This disclosure is directed to data-agnostic computational methods and systems for adjusting hard thresholds based on user feedback. Hard thresholds are used to monitor time-series data generated by a data-generating entity. The time-series data may be metric data that represents usage of the data-generating entity over time. The data is compared with a hard threshold associated with usage of the resource or process and when the data violates the threshold, an alert is typically generated and presented to a user. Methods and systems collect user feedback after a number of alerts to determine the quality and significance of the alerts. Based on the user feedback, methods and systems automatically adjust the hard thresholds to better represent how the user perceives the alerts.
-
89.发明申请公开(公告)号：US20160323157A1
公开(公告)日：2016-11-03
申请号：US14701066
申请日：2015-04-30
Applicant: VMware, Inc.
CPC classification number: H04L43/04 , G06F11/34 , H04L43/02 , H04L43/08 , H04L67/1097
Abstract: Methods and systems that manage large volumes of metric data generation by cloud-computing infrastructures are described. The cloud-computing infrastructure generates sets of metric data, each set of metric data may represent usage or performance of an application or application module run by the cloud-computing infrastructure or may represent use or performance of cloud-computing resources used by the applications. The metric data management methods and systems are composed of separate modules that perform sequential application of metric data reduction techniques on different levels of data abstraction in order to reduce volume of metric data collected. In particular, the modules determine normalcy bounds, delete highly correlated metric data, and delete metric data with highly correlated normalcy bound violations.
Abstract translation: 描述了通过云计算基础设施管理大量度量数据生成的方法和系统。 云计算基础设施生成度量标准数据集，每组度量数据可以表示由云计算基础架构运行的应用程序或应用程序模块的使用或性能，或者可以表示应用程序使用的云计算资源的使用或性能。 度量数据管理方法和系统由单独的模块组成，其在不同级别的数据抽象上执行度量数据缩减技术的顺序应用，以减少收集的度量数据的数量。 特别地，这些模块确定正常范围，删除高度相关的度量数据，以及删除具有高度相关的正常结合违规的度量数据。
-
-
-
-
-
-
-
-
Search Results
89
records
(took 0.029 seconds)
