Inventor

HARUTYUNYAN ASHOT NSHAN

AM42 patents

⚠️ This page may combine multiple inventors who share the name “HARUTYUNYAN ASHOT NSHAN”. Patents are grouped by organization below to help distinguish them — per-person disambiguation is on the roadmap.

HARUTYUNYAN ASHOT NSHAN

VMWARE INC

Methods and systems that detect and classify incidents and anomalous behavior using metric-data observations

Methods and systems to identify anomalous behaving components of a distributed computing system

Multi-stage data compression for time-series metric data within computer systems

Automated methods and systems for troubleshooting and optimizing performance of applications running in a distributed computing system

Automated methods and systems to classify and troubleshoot problems in information technology systems and services

Methods and systems to diagnose anomalies in cloud infrastructures

Methods and systems to reduce time series data and detect outliers

Data-agnostic anomaly detection

Methods and systems that identify dimensions related to anomalies in system components of distributed computer systems using traces, metrics, and component-associated attribute values

Processes and systems for forecasting metric data and anomaly detection in a distributed computing system

Data-agnostic methods and systems for ranking and updating beliefs

Methods and systems that efficiently store and analyze multidimensional metric data

Methods and systems to evaluate data center performance and prioritize data center objects and anomalies for remedial actions

Datacenter resource allocation based on estimated capacity metric

Methods and systems that identify dimensions related to anomalies in system components of distributed computer systems using clustered traces, metrics, and component-associated attribute values

Methods and systems to determine baseline event-type distributions of event sources and detect changes in behavior of event sources

Processes and systems that detect object abnormalities in a distributed computing system

Processes and systems that determine efficient sampling rates of metrics generated in a distributed computing system

Methods and systems to prioritize alerts with quantification of alert impacts

Methods and systems to detect and classify changes in a distributed computing system

Method and subsystem that collects, stores, and monitors population metric data within a computer system

Automated methods and systems for identifying problems in data center objects

Methods and systems for troubleshooting anomalous behavior in a data center

Processes and systems that detect abnormal behavior of objects of a distributed computing system

Methods and systems that estimate a degree of abnormality of a complex system

Methods and systems to determine baseline event-type distributions of event sources and detect changes in behavior of event sources

Automated methods and systems for calculating hard thresholds

Data-agnostic adjustment of hard thresholds based on user feedback

Data-agnostic adjustment of hard thresholds based on user feedback

Methods and systems that efficiently store metric data

Methods and systems to quantize and compress time series data

Confidence-controlled sampling methods and systems to analyze high-frequency monitoring data and event messages of a distributed computing system

Methods and systems to enhance identifying service-level-objective degradation in a data center

Methods and systems to manage big data in cloud-computing infrastructures

VMware LLC

Automated methods and systems that facilitate root cause analysis of distributed-application operational problems and failures

Methods and systems for intelligent sampling of application traces

Methods and systems for using machine learning to resolve performance problems with objects of a data center

Methods and systems for discovering incidents through clustering of alert occurring in a data center

Methods and systems for identifying and resolving root causes of performance problems in data center object

Automated methods and systems that facilitate root-cause analysis of distributed-application operational problems and failures by generating noise-subtracted call-trace-classification rules

Methods and systems that automatically predict distributed-computer-system performance degradation using automatically trained machine-learning components

Methods and systems for resolving performance problems with objects of a data center