Management Controller Event Prioritization to Reduce Monitoring Overhead
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Solution Overview
Problem
Existing data processing systems face challenges in efficiently managing limited computing resources, leading to overhead in managing operations and impacting performance, particularly due to the collection and processing of excessive information regarding component operations.
Innovation Solution
Implementing a method where a management controller identifies critical events and conditions, limiting the collection of information and performing targeted management actions based on priority levels, thereby reducing resource expenditure and improving system performance without adding hardware resources.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If comprehensive operation information is collected from all components, then system management reliability is improved, but computing resource overhead increases
Solution Approach 1:
The patent extracts and collects only critical operation information from components based on priority levels and event types, rather than collecting all possible data. The management controller selectively gathers information about high-priority events that impact system performance, eliminating unnecessary data collection overhead while maintaining reliable system management.
Solution Approach 2:
The patent applies different collection strategies to different components and event types. High-priority components generate detailed operation information, while lower-priority components generate summarized data. This local differentiation optimizes resource usage by allocating management attention proportionally to actual system needs rather than treating all components uniformly.
2Measurement precision
If detailed operation information is collected and processed, then management accuracy is improved, but system performance deteriorates
Solution Approach 1:
The patent segments operation information into priority levels (high, medium, low) and processes them differently. High-priority events receive detailed analysis and immediate attention, while lower-priority events are processed in batches or with less detail. This segmentation maintains management accuracy for critical issues while preserving overall system performance by avoiding excessive processing of non-critical data.
Solution Approach 2:
The patent applies partial action by collecting and processing only the necessary portion of operation information required for effective system management. Rather than comprehensively analyzing all component data, the system focuses on critical events and parameters, achieving sufficient management accuracy without the performance penalty of exhaustive analysis.
3Reliability
If continuous monitoring of all components is performed, then system reliability is improved, but resource consumption increases
Solution Approach 1:
The patent implements periodic monitoring with varying frequencies based on component priority and event criticality. High-priority components are monitored continuously or at high frequency, while lower-priority components are monitored at reduced intervals. This periodic differentiation maintains system reliability for critical components while reducing overall resource consumption by adjusting monitoring intensity to actual system needs.
Data Source
AI summary
Methods and systems for managing operation of data processing systems are disclosed. To manage operation of the data processing systems, information regarding the operation of management controller enhanced devices may be obtained. The information may be analyzed to identify how to modify the operation of the management controller enhanced devices to address events and/or conditions that may impact performance of computer implemented services. The type and quantity of information collected may be limited to manage overhead placed on the data processing systems.