公开(公告)号：US20160173321A1

公开(公告)日：2016-06-16

申请号：US14569953

申请日：2014-12-15

Applicant: CA, Inc.

Inventor： Sreenivas Gukal ,  Sanjay Vyas ,  Rammohan Varadarajan

IPC: H04L12/24 ,  H04M15/00 ,  H04W4/00 ,  H04L12/26

CPC classification number: H04L41/064 ,  H04L41/0681 ,  H04L43/067 ,  H04L43/16 ,  H04M15/58 ,  H04M15/8214 ,  H04M15/85 ,  H04W4/24 ,  H04W4/60

Abstract: An application analysis computer obtains reports from user terminals containing application performance metrics and dimensions having values characterizing the applications and the user terminals. Statistics for each different type of the performance metrics across the reports are generated. One of the statistics, for one type of the performance metrics, that has changed at least a threshold amount between two time intervals is identified, and that performance metric is selected for analysis. For each combination of a different type of the characteristic dimensions and a different value among the values occurring for the type of the characteristic dimension, a statistic is generated for the selected type of the performance metrics from the reports. Information is communicated based on an active warning ID that was selected based on being associated with a combination of the type of the characteristic dimension and one of the statistics that changed at least a threshold amount.

Abstract translation: 应用分析计算机从用户终端获取包含具有表征应用和用户终端的值的应用性能度量和维度的报告。 生成报告中每种不同类型的性能指标的统计信息。 识别出在两个时间间隔之间至少改变了阈值量的一种类型的性能度量的统计信息之一，并且选择性能指标用于分析。 对于特征维度的不同类型的每个组合以及针对特征维度类型出现的值中的不同值，从报告中为所选择的性能度量类型生成统计量。 基于与特征维度的类型的组合和至少改变了阈值量的统计信息的组合相关联的活动警告ID来传送信息。

公开(公告)号：US20160283566A1

公开(公告)日：2016-09-29

申请号：US14670993

申请日：2015-03-27

Applicant: CA, Inc.

Inventor： Satnam SINGH ,  Sanjay Vyas

IPC: G06F17/30 ,  H04L29/08 ,  G06N7/00 ,  H04L12/26

CPC classification number: G06F16/248 ,  G06F16/22 ,  G06F16/245 ,  G06N7/005 ,  H04L67/22

Abstract: A method of performing operations on a processor of an application analysis computer is disclosed. The operations include obtaining reports from user terminals, where the reports identify sequences of operational states that instances of an application have transitioned through while being processed by the user terminals. For each unique one of the sequences, a data structure that is associated with the sequence is generated within a repository. For each of the sequences, a metric is generated based on content of the report which identifies the sequence, and the metric is stored in the repository within the data structure associated with the sequence. User defined criteria are received. The data structures in the repository are searched based on the criteria to identify a subset of the sequences. Information is communicated based on the metrics associated with the subset of the sequences.

Abstract translation: 公开了一种在应用分析计算机的处理器上执行操作的方法。 这些操作包括从用户终端获取报告，其中报告识别应用程序的实例在被用户终端处理时已转换的操作状态的序列。 对于序列中的每个唯一的一个，与存储库中生成与该序列相关联的数据结构。 对于每个序列，基于标识序列的报告内容生成度量，并且度量存储在与序列相关联的数据结构内的仓库中。 收到用户定义的标准。 基于识别序列的子集的标准来搜索存储库中的数据结构。 基于与序列的子集相关联的度量来传送信息。

公开(公告)号：US20160063356A1

公开(公告)日：2016-03-03

申请号：US14471444

申请日：2014-08-28

Applicant: CA, INC.

Inventor： Sreenivas Gukal ,  Sanjay Vyas

IPC: G06K9/62 ,  G06K9/52 ,  G06F17/15 ,  G06T7/00

CPC classification number: G06K9/00536 ,  G06F11/3466 ,  G06K9/00523

Abstract: A method by a computer includes generating polylines based on a sequence of values contained in performance trace data from a software source on a host machine node. Segments of the polylines are generated. Separate ones of the segments are categorized based on patterns of the polylines of the separate ones of the segments. For the separate ones of the segments, compressed data is generated that approximates values contained in the performance trace data corresponding to the polylines of the segment while regulating a level of fidelity of the approximations based on the categorization of the segment. The compressed data is stored in a log repository.

Abstract translation: 计算机的一种方法包括基于来自主机节点上的软件源的性能跟踪数据中包含的值序列来生成折线。 生成多段线段。 基于单独的段的折线的模式对分割的段进行分类。 对于单独的片段，生成压缩数据，其近似包含在与片段的多段线对应的性能跟踪数据中的值，同时基于片段的分类调节近似的保真度级别。 压缩数据存储在日志库中。

公开(公告)号：US20150370842A1

公开(公告)日：2015-12-24

申请号：US14313075

申请日：2014-06-24

Applicant: CA, INC.

Inventor： Sreenivas Gukal ,  Sanjay Vyas

IPC: G06F17/30

CPC classification number: G06F11/321 ,  G06F11/3051 ,  G06F11/3072 ,  G06F11/3476 ,  G06F17/30705 ,  G06F17/40 ,  G06F2201/86

Abstract: A method by a log stream analysis computer includes identifying records of log streams within a log repository containing a defined term. The log streams are generated by respective software sources executed by the host nodes. Similarity values are determined to indicate similarity between content of the records containing the defined term. A term node is generated to contain a data structure that identifies the defined term and lists identities of the records and corresponding ones of the similarity values. Related log stream analysis computers are disclosed.

Abstract translation: 日志流分析计算机的方法包括识别包含定义的术语的日志存储库内的日志流的记录。 日志流由主机节点执行的各个软件源生成。 确定相似性值以指示包含定义的术语的记录的内容之间的相似性。 生成术语节点以包含标识所定义术语的数据结构，并列出记录的标识和对应的相似度值。 相关的日志流分析计算机被公开。

公开(公告)号：US10325217B2

公开(公告)日：2019-06-18

申请号：US14618661

申请日：2015-02-10

Applicant: CA, Inc.

Inventor： Satnam Singh ,  Sanjay Vyas ,  Rajendra Arcot Gopalakrishna ,  Rammohan Varadarajan

IPC: G06N7/02 ,  G06N7/04 ,  G06N7/06 ,  G06N7/08 ,  G06N7/00

Abstract: An application analysis computer obtains reports from user terminals identifying operational states of instances of an application being processed by the user terminals. Sequences of the operational states that the instances of the application have transitioned through while being processed by the user terminals are identified. Common operational states that occur in a plurality of the sequences are identified. For each of the common operational states, a frequency of occurrence of the common operational state is determined. For each state transition between the common operational states in the sequences, a frequency of occurrence of the state transition is determined. State predictive metrics are generated based on the frequencies of occurrence of the common operational states and the frequencies of occurrence of the state transitions. The state predictive metrics are communicated, such as to an application server to control access to the application by user terminals.

公开(公告)号：US09779005B2

公开(公告)日：2017-10-03

申请号：US14313075

申请日：2014-06-24

Applicant: CA, INC.

Inventor： Sreenivas Gukal ,  Sanjay Vyas

IPC: G06F17/30 ,  G06F11/32 ,  G06F11/34 ,  G06F11/30

CPC classification number: G06F11/321 ,  G06F11/3051 ,  G06F11/3072 ,  G06F11/3476 ,  G06F17/30705 ,  G06F17/40 ,  G06F2201/86

Abstract: A method by a log stream analysis computer includes identifying records of log streams within a log repository containing a defined term. The log streams are generated by respective software sources executed by the host nodes. Similarity values are determined to indicate similarity between content of the records containing the defined term. A term node is generated to contain a data structure that identifies the defined term and lists identities of the records and corresponding ones of the similarity values. Related log stream analysis computers are disclosed.

公开(公告)号：US09559893B2

公开(公告)日：2017-01-31

申请号：US14569953

申请日：2014-12-15

Applicant: CA, Inc.

Inventor： Sreenivas Gukal ,  Sanjay Vyas ,  Rammohan Varadarajan

IPC: G06F15/173 ,  H04L12/24 ,  H04L12/26 ,  H04M15/00 ,  H04W4/00

CPC classification number: H04L41/064 ,  H04L41/0681 ,  H04L43/067 ,  H04L43/16 ,  H04M15/58 ,  H04M15/8214 ,  H04M15/85 ,  H04W4/24 ,  H04W4/60

Abstract: An application analysis computer obtains reports from user terminals containing application performance metrics and dimensions having values characterizing the applications and the user terminals. Statistics for each different type of the performance metrics across the reports are generated. One of the statistics, for one type of the performance metrics, that has changed at least a threshold amount between two time intervals is identified, and that performance metric is selected for analysis. For each combination of a different type of the characteristic dimensions and a different value among the values occurring for the type of the characteristic dimension, a statistic is generated for the selected type of the performance metrics from the reports. Information is communicated based on an active warning ID that was selected based on being associated with a combination of the type of the characteristic dimension and one of the statistics that changed at least a threshold amount.

Abstract translation: 应用分析计算机从用户终端获取包含具有表征应用和用户终端的值的应用性能度量和维度的报告。 生成报告中每种不同类型的性能指标的统计信息。 识别出在两个时间间隔之间至少改变了阈值量的一种类型的性能度量的统计信息之一，并且选择性能指标用于分析。 对于特征维度的不同类型的每个组合以及针对特征维度类型出现的值中的不同值，从报告中为所选择的性能度量类型生成统计量。 基于与特征维度的类型的组合和至少改变了阈值量的统计信息的组合相关联的活动警告ID来传送信息。

公开(公告)号：US20160232446A1

公开(公告)日：2016-08-11

申请号：US14618661

申请日：2015-02-10

Applicant: CA, Inc.

Inventor： Satnam SINGH ,  Sanjay Vyas ,  Rajendra Arcot Gopalakrishna ,  Rammohan Varadarajan

IPC: G06N5/02

CPC classification number: G06N7/005

Abstract: An application analysis computer obtains reports from user terminals identifying operational states of instances of an application being processed by the user terminals. Sequences of the operational states that the instances of the application have transitioned through while being processed by the user terminals are identified. Common operational states that occur in a plurality of the sequences are identified. For each of the common operational states, a frequency of occurrence of the common operational state is determined. For each state transition between the common operational states in the sequences, a frequency of occurrence of the state transition is determined. State predictive metrics are generated based on the frequencies of occurrence of the common operational states and the frequencies of occurrence of the state transitions. The state predictive metrics are communicated, such as to an application server to control access to the application by user terminals.

Abstract translation: 应用分析计算机从用户终端获取识别由用户终端正在处理的应用的实例的操作状态的报告。 识别应用程序实例在被用户终端处理过程中转变的操作状态序列。 识别在多个序列中出现的常见操作状态。 对于每个公共操作状态，确定共同操作状态的发生频率。 对于序列中的公共操作状态之间的每个状态转换，确定状态转换的发生频率。 基于公共运行状态的发生频率和状态转换的发生频率来生成状态预测度量。 状态预测度量被传达到应用服务器以控制用户终端对应用的访问。

公开(公告)号：US09311569B2

公开(公告)日：2016-04-12

申请号：US14471444

申请日：2014-08-28

Applicant: CA, INC.

Inventor： Sreenivas Gukal ,  Sanjay Vyas

IPC: G06K9/62 ,  G06T7/00 ,  G06K9/52 ,  G06F17/15

CPC classification number: G06K9/00536 ,  G06F11/3466 ,  G06K9/00523

Abstract: A method by a computer includes generating polylines based on a sequence of values contained in performance trace data from a software source on a host machine node. Segments of the polylines are generated. Separate ones of the segments are categorized based on patterns of the polylines of the separate ones of the segments. For the separate ones of the segments, compressed data is generated that approximates values contained in the performance trace data corresponding to the polylines of the segment while regulating a level of fidelity of the approximations based on the categorization of the segment. The compressed data is stored in a log repository.

Abstract translation: 计算机的一种方法包括基于来自主机节点上的软件源的性能跟踪数据中包含的值序列来生成折线。 生成多段线段。 基于单独的段的折线的模式对分割的段进行分类。 对于单独的片段，生成压缩数据，其近似包含在与片段的多段线对应的性能跟踪数据中的值，同时基于片段的分类调节近似的保真度级别。 压缩数据存储在日志库中。