Cloud Fault Management Service Proactive Solution Repository
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Solution Overview
Problem
Cloud computing environments face challenges in proactive fault management, as existing monitoring solutions only address issues after they occur, leading to delayed problem resolution and increased administrative burdens due to the complexity of managing virtual IT resources.
Innovation Solution
A proactive fault management service is implemented in cloud infrastructure through a solutions repository that pools knowledge and expertise to identify and apply solutions to potential faults before they occur, allowing users to select and apply solutions during service instantiation, with the repository regularly updated for new solutions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If monitoring solutions are used to detect and report problems, then problem detection capability is improved, but problem resolution time increases due to reactive approach
Solution Approach 1:
The system performs preliminary actions by proactively identifying potential faults before they manifest as actual problems. The fault management service analyzes service element states and predicts potential issues, allowing preventive measures to be taken before problems occur, thus reducing resolution time while maintaining detection capability.
2Adaptability or versatility
If virtual computing sprawl is enabled for scalable resource access, then resource scalability is improved, but management complexity increases
Solution Approach 1:
The fault management service enables self-service by automatically monitoring, detecting, and managing faults in virtual computing resources. The system autonomously handles fault identification and management tasks without requiring manual intervention, thus maintaining scalability while reducing management complexity through automation.
3Reliability
If IT personnel manually monitor IT resources for performance and availability, then system reliability is improved, but administrative burden increases
Solution Approach 1:
The system implements automated feedback mechanisms that continuously monitor service element states and provide real-time information about potential faults. This automated feedback loop maintains system reliability by ensuring continuous monitoring while reducing administrative burden by eliminating manual monitoring tasks through intelligent automation.
Data Source
AI summary
Provided is a method of providing a fault management service in a cloud. During requisition of a cloud service involving a service element provided by the cloud it is determined whether solutions are available for potential faults related to the service element. The available solutions are highlighted for potential faults related to the service element to a user. Upon selection of a highlighted solution by the user, the selected solution is applied to the service element.


