-
公开(公告)号：US20190361693A1
公开(公告)日：2019-11-28
申请号：US16534896
申请日：2019-08-07
Applicant: Oracle International Corporation
Inventor： Dustin Garvey , Timothy Mark Frazier , Shriram Krishnan , Uri Shaft , Amit Ganesh , Prasad Ravuri , Sampanna Shahaji Salunke , Sumathi Gopalakrishnan
Abstract: Techniques are described herein for scalable clustering of target resources by parameter set. In some embodiments, a plurality of parameter sets of varying length are received, where a parameter set identifies attributes of a target resource. A plurality of signature vectors are generated based on the plurality of parameter sets such that the signature vectors have equal lengths. A signature vector may map to one or more parameter sets of the plurality of parameter sets. A plurality of clusters are generated based on the similarity between signature vectors. Operations may be performed on a target resource based on one or more nodes in the plurality of clusters.
-
公开(公告)号：US11023221B2
公开(公告)日：2021-06-01
申请号：US16854635
申请日：2020-04-21
Applicant: Oracle International Corporation
Inventor： Dustin Garvey , Amit Ganesh , Uri Shaft , Prasad Ravuri , Long Yang , Sampanna Shahaji Salunke , Sumathi Gopalakrishnan , Timothy Mark Frazier , Shriram Krishnan
Abstract: Techniques for artificial intelligence driven configuration management are described herein. In some embodiments, a machine-learning process determines a feature set for a plurality of deployments of a software resource. Based on varying values in the feature set, the process clusters each of the plurality of deployments into a cluster of a plurality of clusters. Each cluster of the plurality of clusters comprises one or more nodes and each node of the one or more nodes corresponds to at least a subset of values of the feature set that are detected in at least one deployment of the plurality of deployments of the software resource. The process determines a representative node for each cluster of the plurality of clusters. An operation may be performed based on the representative node for at least one cluster.
-
公开(公告)号：US20210073680A1
公开(公告)日：2021-03-11
申请号：US17028166
申请日：2020-09-22
Applicant: Oracle International Corporation
Inventor： Dustin Garvey , Sampanna Shahaji Salunke , Uri Shaft , Amit Ganesh , Sumathi Gopalakrishnan
Abstract: Techniques are described for applying what-f analytics to simulate performance of computing resources in cloud and other computing environments. In one or more embodiments, a plurality of time-series datasets are received including time-series datasets representing a plurality of demands on a resource and datasets representing performance metrics for a resource. Based on the datasets at least one demand propagation model and at least one resource prediction model are trained. Responsive to receiving an adjustment to a first set of one or more values associated with a first demand: (a) a second adjustment is generated for a second set of one or more values associated with a second demand; and (b) a third adjustment is generated for a third set of one or more values that is associated with the resource performance metric.
-
公开(公告)号：US20200351283A1
公开(公告)日：2020-11-05
申请号：US16400392
申请日：2019-05-01
Applicant: Oracle International Corporation
Inventor： Sampanna Shahaji Salunke , Dario Bahena Tapia , Dustin Garvey , Sumathi Gopalakrishnan , Neil Goodman
Abstract: Techniques are disclosed for summarizing, diagnosing, and correcting the cause of anomalous behavior in computing systems. In some embodiments, a system identifies a plurality of time series that track different metrics over time for a set of one or more computing resources. The system detects a first set of anomalies in a first time series that tracks a first metric and assigns a different respective range of time to each anomaly. The system determines whether the respective range of time assigned to an anomaly overlaps with timestamps or ranges of time associated with anomalies from one or more other time series. The system generates at least one cluster that groups metrics based on how many anomalies have respective ranges of time and/or timestamps that overlap. The system may preform, based on the cluster, one or more automated actions for diagnosing or correcting a cause of anomalous behavior.
-
公开(公告)号：US20190102155A1
公开(公告)日：2019-04-04
申请号：US16042971
申请日：2018-07-23
Applicant: Oracle International Corporation
Inventor： Dustin Garvey , Amit Ganesh , Uri Shaft , Prasad Ravuri , Long Yang , Sampanna Shahaji Salunke , Sumathi Gopalakrishnan , Timothy Mark Frazier , Shriram Krishnan
Abstract: Techniques for artificial intelligence driven configuration management are described herein. In some embodiments, a machine-learning process determines a feature set for a plurality of deployments of a software resource. Based on varying values in the feature set, the process clusters each of the plurality of deployments into a cluster of a plurality of clusters. Each cluster of the plurality of clusters comprises one or more nodes and each node of the one or more nodes corresponds to at least a subset of values of the feature set that are detected in at least one deployment of the plurality of deployments of the software resource. The process determines a representative node for each cluster of the plurality of clusters. An operation may be performed based on the representative node for at least one cluster.
-
Patent Agency Ranking
公开(公告)号：US10817803B2
公开(公告)日：2020-10-27
申请号：US15612999
申请日：2017-06-02
Applicant: Oracle International Corporation
Inventor： Dustin Garvey , Sampanna Shahaji Salunke , Uri Shaft , Amit Ganesh , Sumathi Gopalakrishnan
Abstract: Techniques are described for applying what-f analytics to simulate performance of computing resources in cloud and other computing environments. In one or more embodiments, a plurality of time-series datasets are received including time-series datasets representing a plurality of demands on a resource and datasets representing performance metrics for a resource. Based on the datasets at least one demand propagation model and at least one resource prediction model are trained. Responsive to receiving an adjustment to a first set of one or more values associated with a first demand: (a) a second adjustment is generated for a second set of one or more values associated with a second demand; and (b) a third adjustment is generated for a third set of one or more values that is associated with the resource performance metric.
-
公开(公告)号：US10789065B2
公开(公告)日：2020-09-29
申请号：US15972650
申请日：2018-05-07
Applicant: Oracle International Corporation
Inventor： Dustin Garvey , Amit Ganesh , Timothy Mark Frazier , Shriram Krishnan, Sr. , Uri Shaft , Prasad Ravuri , Sampanna Shahaji Salunke , Sumathi Gopalakrishnan
IPC: G06F8/71 , G06F16/901 , G06F8/60 , G06F16/2457 , G06F16/28
Abstract: Techniques for analyzing, understanding, and remediating differences in configurations among many software resources are described herein. Machine learning processes are applied to determine a small feature set of parameters from among the complete set of parameters configured for each software resource. The feature set of parameters is selected to optimally cluster configuration instances for each of the software resources. Once clustered based on the values of the feature set of parameters, a graph is generated for each cluster of configuration instances that depicts the differences among the configuration instances within the cluster. An interactive visualization tool renders the graph in a user interface, and a management tool allows changes to the graph and changes to the configuration of one or more software resources.
-
公开(公告)号：US20200125474A1
公开(公告)日：2020-04-23
申请号：US16166066
申请日：2018-10-20
Applicant: Oracle International Corporation
Inventor： Sampanna Shahaji Salunke , Dustin Garvey , Uri Shaft , Brent Arthur Enck , Timothy Mark Frazier , Sumathi Gopalakrishnan , Eric L. Sutton
IPC: G06F11/36
Abstract: Systems and methods are described for efficiently detecting an optimal number of behaviors to model software system performance data and the aspects of the software systems that best separate the behaviors. The behaviors may be ranked according to how well fitting functions partition the performance data.
-
公开(公告)号：US10592230B2
公开(公告)日：2020-03-17
申请号：US16534896
申请日：2019-08-07
Applicant: Oracle International Corporation
Inventor： Dustin Garvey , Timothy Mark Frazier , Shriram Krishnan , Uri Shaft , Amit Ganesh , Prasad Ravuri , Sampanna Shahaji Salunke , Sumathi Gopalakrishnan
Abstract: Techniques are described herein for scalable clustering of target resources by parameter set. In some embodiments, a plurality of parameter sets of varying length are received, where a parameter set identifies attributes of a target resource. A plurality of signature vectors are generated based on the plurality of parameter sets such that the signature vectors have equal lengths. A signature vector may map to one or more parameter sets of the plurality of parameter sets. A plurality of clusters are generated based on the similarity between signature vectors. Operations may be performed on a target resource based on one or more nodes in the plurality of clusters.
-
公开(公告)号：US20180247215A1
公开(公告)日：2018-08-30
申请号：US15643179
申请日：2017-07-06
Applicant: Oracle International Corporation
Inventor： Dustin Garvey , Sampanna Shahaji Salunke , Uri Shaft , Amit Ganesh , Sumathi Gopalakrishnan
CPC classification number: G06N7/005 , G06N5/045 , G06N20/00 , G08B21/182
Abstract: Techniques are described for generating predictive alerts. In one or more embodiments, a seasonal model is generated, the seasonal model representing one or more seasonal patterns within a first set of time-series data, the first set of time-series data comprising data points from a first range of time. A trend-based model is also generated to represent trending patterns within a second set of time-series data comprising data points from a second range of time that is different than the first range of time. A set of forecasted values is generated based on the seasonal model and the trend-based model. Responsive to determining that a set of alerting thresholds has been satisfied based on the set of forecasted values, an alert is generated.
-
-
-
-
-
-
-
-
-
Search Results
36
records
(took 0.017 seconds)
