17990885. METHOD, DEVICE, AND COMPUTER PROGRAM PRODUCT FOR FAULT DIAGNOSIS simplified abstract (Dell Products L.P.)
Contents
- 1 METHOD, DEVICE, AND COMPUTER PROGRAM PRODUCT FOR FAULT DIAGNOSIS
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 METHOD, DEVICE, AND COMPUTER PROGRAM PRODUCT FOR FAULT DIAGNOSIS - 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 How does the first diagnosis model determine if the fault is caused by environmental factors?
- 1.11 What types of faults can be solved locally in the storage system?
- 1.12 Original Abstract Submitted
METHOD, DEVICE, AND COMPUTER PROGRAM PRODUCT FOR FAULT DIAGNOSIS
Organization Name
Inventor(s)
METHOD, DEVICE, AND COMPUTER PROGRAM PRODUCT FOR FAULT DIAGNOSIS - A simplified explanation of the abstract
This abstract first appeared for US patent application 17990885 titled 'METHOD, DEVICE, AND COMPUTER PROGRAM PRODUCT FOR FAULT DIAGNOSIS
Simplified Explanation
The method described in the abstract involves diagnosing and solving faults in a storage system by determining if the cause of the fault is environmental, and then deciding if the fault can be solved locally or needs to be sent to a second diagnosis model.
- Determining cause of fault: The method utilizes a first diagnosis model to determine if the fault is caused by environmental factors.
- Local fault resolution: If the fault is determined to be caused by environmental factors, the method checks if it can be solved locally in the storage system.
- Second diagnosis model: If the fault cannot be solved locally, it is sent to a second diagnosis model obtained by distilling the first diagnosis model.
Potential Applications
The technology can be applied in cloud storage systems to diagnose and solve faults efficiently, reducing the workload of customer support teams.
Problems Solved
1. Efficient fault diagnosis: The method allows for quick and accurate diagnosis of faults in a storage system. 2. Workload reduction: By enabling local resolution of certain faults, the technology helps reduce the workload of customer support teams.
Benefits
1. Improved efficiency: The method streamlines the fault diagnosis process, leading to quicker resolution. 2. Cost savings: By reducing the need for external support, the technology helps in saving costs for storage system providers.
Potential Commercial Applications
"Fault Diagnosis Method for Storage Systems" can find applications in cloud storage providers, data centers, and IT infrastructure companies.
Possible Prior Art
One possible prior art could be fault diagnosis methods in computer networks or server systems, which may have similarities in diagnosing and resolving faults in a system.
Unanswered Questions
How does the first diagnosis model determine if the fault is caused by environmental factors?
The abstract does not provide details on the specific criteria or parameters used by the first diagnosis model to identify environmental factors as the cause of a fault.
What types of faults can be solved locally in the storage system?
The abstract does not specify the range or nature of faults that can be resolved locally within the storage system.
Original Abstract Submitted
A method in an illustrative embodiment of the present disclosure includes determining, utilizing a first diagnosis model deployed in a storage system, whether a cause of a fault belongs to environmental factors. The method further includes determining, responsive to determining that the cause of the fault belongs to the environmental factors, whether the fault can be solved locally in the storage system. The method further includes sending, responsive to determining that the fault cannot be solved locally in the storage system, the fault to a second diagnosis model, wherein the first diagnosis model is obtained by distilling the second diagnosis model. According to the method for fault diagnosis of the present disclosure, particular faults can be diagnosed and solved locally in a storage system, so that the workload of a customer support team of the storage system in a cloud can be reduced.
