Multi-Cloud Resource Scanning with Adaptive Frequency to Reduce Load

The patent applies local quality by differentiating scan frequencies based on customer segments and resource types. Different customers receive different scan frequencies (e.g., first customers get higher frequency than second customers), and different resource types within the same customer account can have different scan frequencies. This resolves the contradiction by providing real-time reporting where needed while reducing system load through selective lower-frequency scanning for other segments.

The patent segments the scanning process by dividing cloud accounts into different customer groups (first customers, second customers, etc.) and further segmenting resource types within each group. This segmentation allows the system to perform complete and accurate classification for high-priority segments while using reduced-frequency scanning for lower-priority segments, thereby maintaining measurement precision where needed while reducing overall processing time.

The patent changes the parameter of scan frequency based on customer priority levels and resource types. First customers receive higher scan frequencies for better monitoring reliability, while second and subsequent customers receive lower scan frequencies that still provide adequate monitoring but consume fewer resources. This parameter adjustment resolves the contradiction by maintaining reliability for critical customers while reducing overall resource consumption across the system.