18094378. ON-DEMAND NETWORK INCIDENT GRAPH GENERATION simplified abstract (VMWARE, INC.)
Contents
- 1 ON-DEMAND NETWORK INCIDENT GRAPH GENERATION
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 ON-DEMAND NETWORK INCIDENT GRAPH GENERATION - A simplified explanation of the abstract
- 1.4 Simplified Explanation
- 1.5 Potential Applications
- 1.6 Problems Solved
- 1.7 Benefits
- 1.8 Potential Commercial Applications
- 1.9 Possible Prior Art
- 1.10 Original Abstract Submitted
ON-DEMAND NETWORK INCIDENT GRAPH GENERATION
Organization Name
Inventor(s)
Wenxuan Zhou of Santa Clara CA (US)
Radhika Niranjan Mysore of Cupertino CA (US)
Philip Brighten Godfrey of Champaign IL (US)
Sujata Banerjee of Palo Alto CA (US)
ON-DEMAND NETWORK INCIDENT GRAPH GENERATION - A simplified explanation of the abstract
This abstract first appeared for US patent application 18094378 titled 'ON-DEMAND NETWORK INCIDENT GRAPH GENERATION
Simplified Explanation
The method described in the patent application involves evaluating incidents within a network by using network monitoring data to generate component graphs of different portions of the network, which helps in identifying root causes of incidents related to specific network entities.
- The method receives notification of incidents related to different network entities.
- It uses network monitoring data to create component graphs of network portions containing the respective network entities.
- The component graphs help in identifying root causes of the incidents.
Potential Applications
This technology could be applied in various industries such as cybersecurity, network management, and IT operations to quickly identify and address network incidents.
Problems Solved
This technology helps in efficiently evaluating and resolving network incidents by identifying root causes through the analysis of network component graphs.
Benefits
The method provides a systematic approach to incident evaluation, leading to faster resolution of network issues and improved network performance.
Potential Commercial Applications
Potential commercial applications of this technology include network monitoring software, cybersecurity tools, and IT management systems.
Possible Prior Art
One possible prior art for this technology could be traditional incident response methods in network management, which may not involve the use of component graphs for root cause analysis.
What are the specific industries that could benefit from this technology?
Various industries such as telecommunications, finance, healthcare, and e-commerce could benefit from this technology by improving their network incident response and management processes.
How does this technology compare to existing incident evaluation methods?
This technology offers a more structured and data-driven approach to incident evaluation compared to traditional methods, leading to more accurate identification of root causes and faster resolution of network issues.
Original Abstract Submitted
Some embodiments provide a method for evaluating incidents within a network. The method receives notification of a first incident related to a first network entity and a second incident related to a second network entity. In response to the respective notifications of the first and second incidents, the method uses network monitoring data to generate a first component graph of a first portion of the network that includes the first network entity and a second component graph of a second portion of the network that includes the second network entity. The first and second component graphs respectively include first and second sets of network entities related to the first and second network entities according to the network monitoring data. The method uses the first and second component graphs to respectively identify root causes of the first and second incidents.
