Service Availability Risk Analysis System
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Solution Overview
Problem
Existing solutions for determining service availability primarily provide historical metrics, failing to identify potential risks associated with resource unavailability and offer actionable plans to mitigate downtime, which can impact service uptime significantly.
Innovation Solution
A method and system that analyze service availability data, resource configuration data, and potential replacements to calculate resource unavailability and replacement scores, generating an indication of at-risk services and providing action plans based on these scores to proactively manage downtime risks.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If historical metrics are used to determine service availability, then simplicity of measurement is maintained, but ability to identify potential risks and provide actionable plans is lost
Solution Approach 1:
The system performs preliminary analysis by calculating resource unavailability scores and replacement scores before actual service disruptions occur. It proactively identifies at-risk services by evaluating resource availability data, configuration data, and potential replacement options in advance, enabling service providers to take preventive actions before downtime occurs.
Solution Approach 2:
The system segments the service availability assessment into multiple components: service-level availability metrics, resource-level unavailability scores, replacement scores, and overall availability risk scores. This segmentation allows for granular analysis of individual resources and their impact on specific services, providing detailed risk information that holistic historical metrics cannot provide.
2Reliability
If comprehensive resource analysis is performed to identify at-risk services, then risk identification capability is improved, but computational complexity increases
Solution Approach 1:
The system transforms complex resource availability data into simplified numerical scores: resource unavailability scores (0-1 scale), replacement scores (0-1 scale), and availability risk scores. These parameter transformations condense multidimensional resource data into comparable metrics, making complex analysis tractable while maintaining accuracy.
Solution Approach 2:
The system replaces manual risk assessment processes with automated computational analysis. processors automatically calculate unavailability scores, replacement scores, and availability risk scores by analyzing resource data, configuration data, and potential replacements, eliminating the need for manual evaluation of complex resource dependencies.
3Duration of action of stationary object
If proactive risk assessment is implemented, then service uptime is improved, but data processing requirements increase
Solution Approach 1:
The system extracts only the critical data elements needed for risk assessment: resource availability data, service configuration data, and potential replacement information. By selectively extracting and analyzing only relevant data rather than processing all available data, the system reduces processing load while maintaining assessment accuracy.
Solution Approach 2:
The system performs preliminary data organization and validation, structuring resource availability data and configuration data in advance to facilitate efficient scoring calculations. This preliminary data preparation reduces the computational burden during actual risk assessment operations.
Data Source
AI summary
A processor receives service availability data for at least one service, where the service availability data indicates an amount time the at least one service was available and an amount of time one or more resources utilized in the service was available. A processor receives service configuration data for the service, where the service configuration data indicates one or more resource requirements of the at least one service. A processor determines one or more resource unavailability scores for the one or more resources utilized in providing the service. A processor determines one or more resource replacement scores for the one or more resources utilized in the service. A processor determines availability risk scores for the at least one service based on the one or more resource unavailability scores and the one or more resource replacement scores. A processor generates an indication of at-risk services of the at least one service.