17989998. Cloud Network Failure Auto-Correlator simplified abstract (GOOGLE LLC)
Contents
Cloud Network Failure Auto-Correlator
Organization Name
Inventor(s)
Tianqiong Luo of Santa Clara CA (US)
Hongkun Yang of San Jose CA (US)
Gargi Adhav of San Jose CA (US)
Anantanarayanan Govindarajan Iyengar of Saratoga CA (US)
Yihan Zhang of Evanston IL (US)
Cloud Network Failure Auto-Correlator - A simplified explanation of the abstract
This abstract first appeared for US patent application 17989998 titled 'Cloud Network Failure Auto-Correlator
Simplified Explanation
The patent application describes a method and system for analyzing errors in a cloud network. Here is a simplified explanation of the abstract:
- The analysis of errors in a cloud network is complex and time-consuming.
- The patent provides methods and systems to simplify the analysis process and identify the root cause of errors.
- The system determines a subset of elements in the cloud network to analyze.
- It also identifies a subset of analyzers to analyze the selected elements and determine the root cause of the error.
- This allows users to quickly identify and correct errors when configuring a network.
Potential Applications
- Cloud computing infrastructure
- Network management systems
- IT troubleshooting and support services
Problems Solved
- Complex and time-consuming analysis of errors in a cloud network
- Difficulty in identifying the root cause of errors
- Inefficient network configuration and troubleshooting processes
Benefits
- Simplifies the analysis of errors in a cloud network
- Enables quick identification and correction of errors
- Reduces the computational resources required for error analysis
- Improves network configuration and troubleshooting efficiency
Original Abstract Submitted
Analysis of a root cause of errors within a cloud network is manually complex and computationally intensive. Methods and systems are provided to determine a subset of elements of the cloud network to analyze, and to identify a subset of analyzers for analyzing the subset of elements to determine the root cause for the error. Thus, when configuring a network, a user may be provided with an identification of the root cause of error, enabling the user to quickly identify and correct the error.