Server Load Monitoring Band Ratio Policy Determination
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing server load monitoring technologies lack the ability to effectively monitor server loads based on user-defined reference ranges and do not provide a comprehensive method for determining server management policies based on performance guides, leading to inefficient resource allocation and potential server breakdowns.
Innovation Solution
A computer-executable server load monitoring method that measures average and maximum server load values, calculates a band ratio indicating the over performance guide frequency to sampling frequency ratio, and determines a server management policy based on these values and a performance guide, allowing for prioritization and effective resource management.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If existing server load monitoring technologies are used, then server performance can be monitored, but the monitoring cannot be effectively based on user-defined reference ranges and performance guides
Solution Approach 1:
The monitoring system dynamically adjusts reference ranges and performance guides based on user definitions and historical data, allowing the thresholds and parameters to be flexible rather than static. This enables the system to adapt to different user needs and server conditions without requiring complete system redesign.
Solution Approach 2:
The system allows modification of key parameters such as reference ranges, performance guide thresholds, and monitoring intervals. By changing these parameters dynamically, the system can accommodate different user requirements and server load patterns without increasing fundamental system complexity.
2Productivity
If comprehensive server load monitoring is implemented, then resource allocation can be optimized, but the system lacks effective policy determination based on performance guides
Solution Approach 1:
The system implements feedback loops where server load data is continuously collected, compared against performance guides, and used to automatically adjust management policies. This feedback mechanism ensures that resource allocation decisions are based on current performance information and established guidelines, preventing information loss.
Solution Approach 2:
Performance guides and reference ranges are pre-established before monitoring begins. These preliminary configurations provide the framework for automatic policy determination, allowing the system to make informed resource allocation decisions without needing to process every scenario in real-time.
3Measurement precision
If server load monitoring is performed without band ratio calculation, then simple measurements can be taken, but over performance guide frequency cannot be effectively monitored
Solution Approach 1:
The monitoring period is segmented into multiple sampling intervals, and the band ratio calculation is performed by dividing the monitoring period into segments where over-performance guide frequency can be counted separately. This segmentation approach enables precise frequency measurement without requiring complex continuous analysis.
Solution Approach 2:
The system calculates band ratios by focusing on specific portions of the monitoring data that are most relevant to performance guide violations. Rather than analyzing every data point in detail, the system applies partial analysis to the critical segments where performance guide thresholds are exceeded, achieving adequate precision with reduced computational complexity.
Data Source
AI summary
A computer-executable server load monitoring method is performed in a server load monitoring apparatus connected with at least one server. The server load monitoring method includes (a) measuring an average server load value and a maximum server load value during a monitoring period which may be defined from a reference time to a past specific time for each of the at least one server; (b) calculating a band ratio indicating an over performance guide frequency to sampling frequency ratio for the monitoring period based on a server performance guide; and (c) determining a server management policy based on the average server load value, the maximum server load value and the band ratio for each of the at least one server.