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    METHODS AND SYSTEMS TO PROACTIVELY MANAGE USAGE OF COMPUTATIONAL RESOURCES OF A DISTRIBUTED COMPUTING SYSTEM
    31.
    发明申请
    METHODS AND SYSTEMS TO PROACTIVELY MANAGE USAGE OF COMPUTATIONAL RESOURCES OF A DISTRIBUTED COMPUTING SYSTEM 审中-公开

    公开(公告)号：US20190317817A1

    公开(公告)日：2019-10-17

    申请号：US15951523

    申请日：2018-04-12

    Applicant: VMware, Inc.

    Inventor： Darren Brown ,  Junyuan Lin ,  Paul Pedersen ,  Keshav Mathur ,  Leah Nutman ,  Peng Gao ,  Xing Wang

    IPC: G06F9/50 ,  G06N7/00

    Abstract: Computational methods and systems that proactively manage usage of computational resources of a distributed computing system are described. A sequence of metric data representing usage of a resource is detrended to obtain a sequence of non-trendy metric data. Stochastic process models, a pulse wave model and a seasonal model of the sequence of non-trendy metric data are computed. When a forecast request is received, a sequence of forecasted metric data is computed over a forecast interval based on the estimated trend and one of the pulse wave or seasonal model that matches the periodicity of the sequence of non-trendy metric data. Alternatively, the sequence of forecasted metric data is computed based on the estimated trend and the stochastic process model with a smallest accumulated residual error. Usage of the resource by virtual objects of the distributed computing system may be adjusted based on the sequence of forecasted metric data.

    Methods and systems that use volatile event types in log files to narrow a search for potential sources of problems in a distributed computing system
    32.
    发明授权
    Methods and systems that use volatile event types in log files to narrow a search for potential sources of problems in a distributed computing system 有权

    公开(公告)号：US10268534B2

    公开(公告)日：2019-04-23

    申请号：US15366640

    申请日：2016-12-01

    Applicant: VMware, Inc.

    Inventor： Darren Brown ,  Jeremy OlmstedThompson ,  Nicholas Kushmerick

    IPC: G06F11/00 ,  G06F11/07 ,  G06F17/30

    Abstract: Methods and systems to narrow a search for potential sources of problems in a distributed computing system are described. A volatile event type of event messages recorded in an event-log file is identified. The volatile event type is an event type that may have unexpectedly increased in frequency over an observation time window. An historical period of time may be selected to search for potential sources of the volatile event type. Frequencies of event messages in the event-log file with the same event type as the volatile event type are determined for time intervals of the historical period of time. A time interval of the historical period of time with a largest increase in frequency of event messages is identified. A list of event messages of the event-log file in a selected sub-time interval of the sub-time intervals of the time interval are displayed in a graphical user interface.

    Methods and systems to identify log write instructions of a source code as sources of event messages
    33.
    发明授权
    Methods and systems to identify log write instructions of a source code as sources of event messages 有权

    公开(公告)号：US10061566B2

    公开(公告)日：2018-08-28

    申请号：US15286291

    申请日：2016-10-05

    Applicant: VMware, Inc.

    Inventor： Darren Brown ,  Nicholas Kushmerick ,  Matt Roy McLaughlin ,  Dhaval Gada ,  Junyuan Lin

    IPC: G06F9/44 ,  G06F9/54 ,  G06F8/34

    CPC classification number: G06F9/542 ,  G06F9/5077 ,  G06F11/362

    Abstract: Methods and systems to identify log write instructions of a source code as potential sources of an event message of interest are described. Methods identify non-parametric tokens, such as text strings and natural language words and phrases, of an event message of interest. Candidate log write instructions and associated line numbers in a source code are identified. Non-parametric tokens of each event message of the one or more candidate log write instructions are determined. A confidence score is calculated for each candidate log write instruction based the number of non-parametric tokens the event message of interest and event message of the candidate log write instruction have in common. The candidate log write instructions are rank ordered based on the corresponding one or more confidence scores and the rank ordered candidate log write instructions and associated line numbers of the source code may be displayed in a graphical user interface.

    EVENT-MESSAGE COLLECTION, PROCESSING, AND STORAGE SYSTEMS THAT ARE CONFIGURABLE TO FACILITATE SCALING, LOAD-BALANCING, AND SELECTION OF A CENTRALIZATION/DECENTRALIZATION LEVEL
    35.
    发明公开
    EVENT-MESSAGE COLLECTION, PROCESSING, AND STORAGE SYSTEMS THAT ARE CONFIGURABLE TO FACILITATE SCALING, LOAD-BALANCING, AND SELECTION OF A CENTRALIZATION/DECENTRALIZATION LEVEL 审中-公开

    公开(公告)号：US20240111608A1

    公开(公告)日：2024-04-04

    申请号：US17955367

    申请日：2022-09-28

    Applicant: VMware, Inc.

    Inventor： Darren Brown ,  Anil Sharma ,  Ashok Kumar

    IPC: G06F9/50 ,  G06F9/54

    CPC classification number: G06F9/5088 ,  G06F9/5077 ,  G06F9/546

    Abstract: The current document is directed to event-message collection, processing, and storage systems and, in particular, to event-message collection, processing, and storage computing systems that are configurable to facilitate scaling, load balancing, and selection of a centralizing/decentralizing level which, in turn, provide a variety of operational efficiencies and advantages. Decentralization combined with event-record filtering, in a described implementation, provides for a significant reduction in data-transmission, processing, and data-storage overheads. Dynamic reconfiguration of the components of the event-message collection, processing, and storage systems allows for increased precision in scaling and load balancing to adapt the event-message collection, processing, and storage systems to dynamically reconfigured distributed computer systems in which the event-message collection, processing, and storage systems run.

    CAPACITY FORECASTING FOR HIGH-USAGE PERIODS
    37.
    发明公开
    CAPACITY FORECASTING FOR HIGH-USAGE PERIODS 审中-公开

    公开(公告)号：US20230179539A1

    公开(公告)日：2023-06-08

    申请号：US17540288

    申请日：2021-12-02

    Applicant: VMware, Inc.

    Inventor： Darren Brown ,  Paul Pedersen

    IPC: H04L47/80 ,  H04L47/74 ,  H04L47/78 ,  H04L47/83 ,  H04L41/22

    CPC classification number: H04L47/808 ,  H04L41/22 ,  H04L47/745 ,  H04L47/781 ,  H04L47/823

    Abstract: Examples herein include systems and methods for providing capacity forecasting for high-usage periods of a computing infrastructure. An example method can include segmenting a first portion of a data stream and generating a first core set for a forecasting model that predicts future usage of computing resources. The example method can further include segmenting a second portion of the data stream, generating a second core set, and using both core sets to forecast usage. The first core set can then be phased out after a predetermined time period has elapsed such that forecasting is based only on the second core set. The example method can further include defining at least two clusters of data and performing predictive analysis on that specific cluster. Cluster-specific results can be displayed on a GUI, which can also provide a user with options for increase or decrease computing resources based on the predictions.

    Methods and systems for troubleshooting applications using streaming anomaly detection
    38.
    发明授权
    Methods and systems for troubleshooting applications using streaming anomaly detection 有权

    公开(公告)号：US11640465B2

    公开(公告)日：2023-05-02

    申请号：US16682549

    申请日：2019-11-13

    Applicant: VMware, Inc.

    Inventor： Darren Brown ,  Paul Pedersen ,  Keshav Mathur ,  Junyuan Lin ,  Nicholas Kushmerick ,  Jinyi Lu ,  Xing Wang ,  Peng Gao

    IPC: G06F21/00 ,  G06F21/56

    Abstract: Computational methods and systems for detecting and troubleshooting anomalous behavior in distributed applications executing in a distributed computing system are described herein. Methods and systems discover nodes comprising the application. Anomaly detection monitors the metrics associated with the nodes for anomalous behavior in order to identify an approximate point in time when anomalous behavior begins to adversely impact performance of the application. Anomaly detection also monitors logs messages associated with the nodes to detect anomalous behavior recorded in the log messages. When anomalous behavior is detected in either the metrics and/or the log messages an alert identifying the anomalous behavior is generated. Troubleshooting guides an administrator and/or application owner to investigate the root cause of the anomalous behavior. Appropriate remedial measures may be determined based on the root cause and automatically or manually executed to correct the problem.

    PROBABILITY-DISTRIBUTION-BASED LOG-FILE ANALYSIS
    40.
    发明申请
    PROBABILITY-DISTRIBUTION-BASED LOG-FILE ANALYSIS 有权

    公开(公告)号：US20210160307A1

    公开(公告)日：2021-05-27

    申请号：US17165809

    申请日：2021-02-02

    Applicant: VMware, Inc.

    Inventor： Darren Brown ,  Nicholas Kushmerick ,  Junyuan Lin ,  Matt Roy McLaughlin ,  Jon Herlocker

    IPC: H04L29/08 ,  G06F11/07 ,  H04L12/26 ,  H04L12/24 ,  G06F17/40

    Abstract: The current document is directed to systems, and methods incorporated within the systems, that carry out probability-distribution-based analysis of log-file entries. A monitoring subsystem within a distributed computer system uses probability-distribution-based analysis of log-file entries to detect changes in the state of the distributed computer system. A log-file-analysis subsystem within a distributed computer system uses probability-distribution-based analysis of log-file entries to identify subsets of log-file entries that predict anomalies and impending problems in the distributed computer system. In many implementations, a numerical comparison of probability distributions of log-file-entry types is used to detect state changes in the distributed computer system.

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