Patents by Inventor Alan NGAI
Alan NGAI has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).
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Patent number: 10454753Abstract: The technology disclosed relates to organizing network performance metrics into historical anomaly dependency data. In particular, it relates to calculating cascading failure relationships between correlated anomalies detected in a network. It also relates to illustrating to a network administrator causes of system failure by laying out the graph to show a progression over time of the cascading failures and identify root causes of the cascading failures. It also relates to ranking anomalies and anomaly clusters in the network based on attributes of the resources exhibiting anomalous performances and attributes of the anomalous performances. It further relates to depicting evolution of resource failures across a network by visually coding impacted resources and adjusting the visual coding over time and allowing replay over time to visualize propagation of anomalous performances among the impacted resource.Type: GrantFiled: April 23, 2017Date of Patent: October 22, 2019Assignee: Lightbend, Inc.Inventors: Amit Sasturkar, Alan Ngai
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Patent number: 10365915Abstract: The technology disclosed relates to maintaining up to date software version data in a network. In particular, it relates to accessing a network topology that records node data and connection data including processes running on numerous hosts grouped into local services on the hosts, the local services running on multiple hosts grouped into service clusters and sub-clusters of service clusters, and network connections used by the service clusters to connect the hosts grouped into service connections. It further relates to collecting current software version information for the processes, updating the network topology with the current software version for particular process running on a particular host when it differs from a stored software version in the network topology, reassigning the particular host to a sub-cluster within the service cluster according to the current software version, and monitoring the updated sub-cluster within the service cluster.Type: GrantFiled: October 7, 2016Date of Patent: July 30, 2019Assignee: Lightbend, Inc.Inventors: Abhinav A. Vora, Aiyesha Lowe Ma, Amit Sasturkar, Oliver Kempe, Narayanan Arunachalam, Alan Ngai, Vishal Surana, Omer Emre Velipasaoglu
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Publication number: 20190018667Abstract: The technology disclosed relates to sub-clustering within service clusters in real-time. In particular, it relates to accessing a network topology that records node data and connection data including processes running on numerous hosts grouped into local services on the hosts, the local services running on multiple hosts grouped into service clusters and sub-clusters of service clusters, and network connections used by the service clusters to connect the hosts grouped into service connections, wherein the node data includes software versions of the processes and process data with configuration files and clustering the multiple hosts with the service clusters into the sub-clusters based at least in part on the software versions.Type: ApplicationFiled: September 17, 2018Publication date: January 17, 2019Applicant: Lightbend, Inc.Inventors: Abhinav VORA, Aiyesha MA, Amit SASTURKAR, Oliver KEMPE, Narayanan ARUNACHALAM, Alan NGAI, Vishal SURANA, Omer Emre VELIPASAOGLU
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Patent number: 10108411Abstract: The technology disclosed relates to sub-clustering within service clusters in real-time. In particular, it relates to accessing a network topology that records node data and connection data including processes running on numerous hosts grouped into local services on the hosts, the local services running on multiple hosts grouped into service clusters and sub-clusters of service clusters, and network connections used by the service clusters to connect the hosts grouped into service connections, wherein the node data includes software versions of the processes and process data with configuration files and clustering the multiple hosts with the service clusters into the sub-clusters based at least in part on the software versions.Type: GrantFiled: October 7, 2016Date of Patent: October 23, 2018Assignee: Lightbend, Inc.Inventors: Abhinav A. Vora, Aiyesha Lowe Ma, Amit Sasturkar, Oliver Kempe, Narayanan Arunachalam, Alan Ngai, Vishal Surana, Omer Emre Velipasaoglu
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Publication number: 20170230229Abstract: The technology disclosed relates to organizing network performance metrics into historical anomaly dependency data. In particular, it relates to calculating cascading failure relationships between correlated anomalies detected in a network. It also relates to illustrating to a network administrator causes of system failure by laying out the graph to show a progression over time of the cascading failures and identify root causes of the cascading failures. It also relates to ranking anomalies and anomaly clusters in the network based on attributes of the resources exhibiting anomalous performances and attributes of the anomalous performances. It further relates to depicting evolution of resource failures across a network by visually coding impacted resources and adjusting the visual coding over time and allowing replay over time to visualize propagation of anomalous performances among the impacted resource.Type: ApplicationFiled: April 23, 2017Publication date: August 10, 2017Applicant: OpsClarity, Inc.Inventors: Amit SASTURKAR, Alan NGAI
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Patent number: 9632858Abstract: The technology disclosed relates to organizing network performance metrics into historical anomaly dependency data. In particular, it relates to calculating cascading failure relationships between correlated anomalies detected in a network. It also relates to illustrating to a network administrator causes of system failure by laying out the graph to show a progression over time of the cascading failures and identify root causes of the cascading failures. It also relates to ranking anomalies and anomaly clusters in the network based on attributes of the resources exhibiting anomalous performances and attributes of the anomalous performances. It further relates to depicting evolution of resource failures across a network by visually coding impacted resources and adjusting the visual coding over time and allowing replay over time to visualize propagation of anomalous performances among the impacted resource.Type: GrantFiled: May 13, 2014Date of Patent: April 25, 2017Assignee: OpsClarity Inc.Inventors: Amit Sasturkar, Alan Ngai
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Publication number: 20170102933Abstract: The technology disclosed relates to maintaining up to date software version data in a network. In particular, it relates to accessing a network topology that records node data and connection data including processes running on numerous hosts grouped into local services on the hosts, the local services running on multiple hosts grouped into service clusters and sub-clusters of service clusters, and network connections used by the service clusters to connect the hosts grouped into service connections. It further relates to collecting current software version information for the processes, updating the network topology with the current software version for particular process running on a particular host when it differs from a stored software version in the network topology, reassigning the particular host to a sub-cluster within the service cluster according to the current software version, and monitoring the updated sub-cluster within the service cluster.Type: ApplicationFiled: October 7, 2016Publication date: April 13, 2017Applicant: OpsClarity, Inc.Inventors: Abhinav A. VORA, Aiyesha Lowe MA, Amit SASTURKAR, Oliver KEMPE, Narayanan ARUNACHALAM, Alan NGAI, Vishal SURANA, Omer Emre VELIPASAOGLU
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Publication number: 20170104636Abstract: The technology disclosed relates to sub-clustering within service clusters in real-time. In particular, it relates to accessing a network topology that records node data and connection data including processes running on numerous hosts grouped into local services on the hosts, the local services running on multiple hosts grouped into service clusters and sub-clusters of service clusters, and network connections used by the service clusters to connect the hosts grouped into service connections, wherein the node data includes software versions of the processes and process data with configuration files and clustering the multiple hosts with the service clusters into the sub-clusters based at least in part on the software versions.Type: ApplicationFiled: October 7, 2016Publication date: April 13, 2017Applicant: OpsClarity, Inc.Inventors: Abhinav A. VORA, Aiyesha Lowe MA, Amit SASTURKAR, Oliver KEMPE, Narayanan ARUNACHALAM, Alan NGAI, Vishal SURANA, Omer Emre VELIPASAOGLU
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Patent number: 9558056Abstract: The technology disclosed relates to organizing network performance metrics into historical anomaly dependency data. In particular, it relates to calculating cascading failure relationships between correlated anomalies detected in a network. It also relates to illustrating to a network administrator causes of system failure by laying out the graph to show a progression over time of the cascading failures and identify root causes of the cascading failures. It also relates to ranking anomalies and anomaly clusters in the network based on attributes of the resources exhibiting anomalous performances and attributes of the anomalous performances. It further relates to depicting evolution of resource failures across a network by visually coding impacted resources and adjusting the visual coding over time and allowing replay over time to visualize propagation of anomalous performances among the impacted resource.Type: GrantFiled: May 13, 2014Date of Patent: January 31, 2017Assignee: OpsClarity Inc.Inventors: Amit Sasturkar, Alan Ngai
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Publication number: 20150033086Abstract: The technology disclosed relates to organizing network performance metrics into historical anomaly dependency data. In particular, it relates to calculating cascading failure relationships between correlated anomalies detected in a network. It also relates to illustrating to a network administrator causes of system failure by laying out the graph to show a progression over time of the cascading failures and identify root causes of the cascading failures. It also relates to ranking anomalies and anomaly clusters in the network based on attributes of the resources exhibiting anomalous performances and attributes of the anomalous performances. It further relates to depicting evolution of resource failures across a network by visually coding impacted resources and adjusting the visual coding over time and allowing replay over time to visualize propagation of anomalous performances among the impacted resource.Type: ApplicationFiled: May 13, 2014Publication date: January 29, 2015Applicant: OpsClarity Inc.Inventors: Amit SASTURKAR, Alan NGAI
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Publication number: 20150033084Abstract: The technology disclosed relates to organizing network performance metrics into historical anomaly dependency data. In particular, it relates to calculating cascading failure relationships between correlated anomalies detected in a network. It also relates to illustrating to a network administrator causes of system failure by laying out the graph to show a progression over time of the cascading failures and identify root causes of the cascading failures. It also relates to ranking anomalies and anomaly clusters in the network based on attributes of the resources exhibiting anomalous performances and attributes of the anomalous performances. It further relates to depicting evolution of resource failures across a network by visually coding impacted resources and adjusting the visual coding over time and allowing replay over time to visualize propagation of anomalous performances among the impacted resource.Type: ApplicationFiled: May 13, 2014Publication date: January 29, 2015Applicant: OpsClarity Inc.Inventors: Amit SASTURKAR, Alan NGAI