Microsoft Technology Licensing, LLC (20240378101). DETECTING AND MITIGATING CROSS-LAYER IMPACT OF CHANGE EVENTS ON A CLOUD COMPUTING SYSTEM simplified abstract
Contents
DETECTING AND MITIGATING CROSS-LAYER IMPACT OF CHANGE EVENTS ON A CLOUD COMPUTING SYSTEM
Organization Name
Microsoft Technology Licensing, LLC
Inventor(s)
Xiaohan Yan of Sammamish WA (US)
Murali Mohan Chintalapati of Bellevue WA (US)
Yingnong Dang of Sammamish WA (US)
DETECTING AND MITIGATING CROSS-LAYER IMPACT OF CHANGE EVENTS ON A CLOUD COMPUTING SYSTEM - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240378101 titled 'DETECTING AND MITIGATING CROSS-LAYER IMPACT OF CHANGE EVENTS ON A CLOUD COMPUTING SYSTEM
The present disclosure pertains to a system for identifying anomalies of failure events on a cloud computing system and determining correlations between change events and failure events.
- Receives telemetry related to change events and failure events across various computing layers of a distributed environment.
- Detects anomalies based on counts of failure events over discrete time periods.
- Determines cross-layer and cross-component correlations between change events and failure event anomalies.
- Generates recommendations for addressing anomalies based on the identified correlations.
- Potential Applications:**
- Cloud computing systems - Monitoring and troubleshooting tools - Data analysis and anomaly detection software
- Problems Solved:**
- Identifying failure event anomalies in cloud computing systems - Correlating change events with failure events - Providing recommendations for addressing anomalies
- Benefits:**
- Improved system reliability and performance - Enhanced troubleshooting capabilities - Proactive anomaly detection and mitigation
- Commercial Applications:**
Title: Cloud Computing Anomaly Detection System This technology can be used by cloud service providers, IT companies, and data centers to enhance the reliability and performance of their systems. It can also be integrated into monitoring tools to provide real-time insights and recommendations for addressing anomalies.
- Questions about Cloud Computing Anomaly Detection System:**
1. How does the system detect anomalies in failure events? The system detects anomalies by analyzing counts of failure events over discrete time periods and comparing them to expected values.
2. What are the potential benefits of using this technology in a cloud computing environment? Using this technology can lead to improved system reliability, enhanced troubleshooting capabilities, and proactive anomaly detection and mitigation.
Original Abstract Submitted
the present disclosure relates to systems, methods, and computer-readable media for identifying anomalies of failure events on a cloud computing system and determining cross-component and cross-layer correlation between change events that occur on the cloud computing system and the failure events associated with the anomalies. in particular, this disclosure describes a system that receives telemetry related to change events and failure events across any number of computing layers of a distributed computing environment (e.g., a cloud computing system) and detects anomalies based on counts of failure events that are manifested over discrete periods of time. based on these detected anomalies, the anomaly correlation system can determine cross-layer and cross-component correlations between selective change events and the detected anomalies of failure events. the anomaly correlation system may further generate and provide recommendations related to mitigating or otherwise addressing the anomalies based on the determined correlations.
