Data Center Fault Diagnosis via Virtual-Physical Relationship Mapping
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Solution Overview
Problem
Current data center management systems lack efficient automatic fault diagnosis and troubleshooting capabilities due to incomplete mapping of virtual to physical relationships, leading to lengthy root cause analysis and delayed issue remediation.
Innovation Solution
A system comprising a collector unit, mapping unit, and fault processor that dynamically collects data, creates relationship maps, and automatically diagnoses and troubleshoots faults in data centers, providing clear mappings between virtual and physical components to facilitate quick issue identification and remediation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual mapping and troubleshooting methods are used in data centers, then operators can identify and resolve issues, but the process becomes exponentially more complicated and time-consuming as the network grows in size
Solution Approach 1:
The system performs preliminary mapping of virtual to physical relationships before faults occur, maintaining an up-to-date relationship map that enables rapid fault identification when issues arise, eliminating the need for time-consuming manual tracing during troubleshooting
Solution Approach 2:
The patent introduces an intermediary mapping system that acts as a mediator between virtual components and physical infrastructure, providing a clear relationship map that simplifies fault identification and eliminates the exponential complexity that would otherwise arise in large-scale data centers
2Reliability
If comprehensive mapping of all virtual to physical relationships is implemented, then fault diagnosis accuracy improves, but system complexity increases
Solution Approach 1:
The mapping system is designed to be universal, handling multiple types of relationships (compute, storage, network) and various fault scenarios through a single unified approach, reducing overall system complexity while maintaining comprehensive mapping capabilities
Solution Approach 2:
The system creates a virtual copy or representation of the physical infrastructure relationships in the relationship map, allowing operators to analyze and diagnose faults in this simplified model without directly manipulating the complex physical system
3Measurement precision
If detailed relationship maps are created between virtual and physical components, then root cause analysis becomes more accurate, but the initial setup and maintenance effort increases
Solution Approach 1:
The mapping system is designed to self-update by automatically detecting and tracking relationships between virtual and physical components, reducing manual setup and maintenance effort while maintaining high precision in relationship mapping for accurate root cause analysis
Data Source
AI summary
The present invention relates to a system and a method for automatic fault diagnosis, troubleshooting and resolution recommendations in a data center comprising one or more resources. The method comprises at least one collector unit [102] collecting a first data from one or more resources of the data center. A mapping unit [104] identifies a failure impact on the one or more resources based on the first data collected by the at least one collector unit. The central module unit [110] creates a detailed relationship map for the one or more virtual and physical resources based on the identified failure impact. A fault processor [106] automatically diagnoses the data center on occurrence of a fault based on the relationship map, and troubleshoots at least one of the one or more resources based on the diagnosis.