Context-Aware Telemetry Reports for Faster IHS Event Diagnosis
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Solution Overview
Problem
Current Information Handling Systems (IHSs) face challenges in efficiently managing and diagnosing events, particularly error conditions, due to the lack of context-aware telemetry reports that provide comprehensive and timely metric data from relevant components, leading to difficulties in prompt and accurate issue resolution.
Innovation Solution
The implementation of a remote access controller that stores and analyzes metric reports from various components within IHSs, identifies the source and related components based on physical and logical relationships, and generates context-aware event reports, including metric data from components in proximity and under management, to provide administrators with detailed diagnostic information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If comprehensive metric data from all components is collected for event diagnosis, then diagnostic accuracy is improved, but data processing complexity and time consumption increase
Solution Approach 1:
The patent segments the metric data collection and processing by component type and proximity relationship. When an event occurs, the system identifies and collects metric data only from relevant components (those in physical proximity or logical relationship to the event source), rather than processing all component data. This segmentation reduces data processing complexity while maintaining diagnostic accuracy for the specific event.
Solution Approach 2:
The patent applies local quality by making the metric data collection scope dependent on the specific event and its context. Different events trigger collection of metric data from different sets of components based on their proximity and relationship to the event source. This ensures diagnostic accuracy is maintained for each event type while avoiding unnecessary data processing for unrelated components.
2Measurement precision
If comprehensive metric data from all components is collected for event diagnosis, then diagnostic accuracy is improved, but time consumption increases
Solution Approach 1:
The patent implements preliminary action by pre-establishing the relationships between components (physical proximity and logical relationships) before events occur. When an event is detected, the system can immediately identify which components' metric data are relevant based on these pre-established relationships, eliminating the need to analyze all components. This reduces time consumption while maintaining diagnostic accuracy.
Solution Approach 2:
The patent segments the time-consuming task of data collection by focusing only on metric data from components with relevant relationships to the event source. By dividing the data collection scope based on proximity and relationship criteria, the system reduces the total time required while ensuring all necessary diagnostic information is captured.
3Loss of information
If metric data from multiple components is analyzed, then context-aware diagnosis is improved, but information management complexity increases
Solution Approach 1:
The patent applies universality by creating a unified framework that handles multiple types of component relationships (physical proximity and logical relationships) through a single event report generation mechanism. The system universally applies relationship-based filtering across different component types and event scenarios, simplifying information management while maintaining comprehensive context awareness.
Solution Approach 2:
The patent introduces an intermediary mechanism (the event report generation system) that mediates between raw metric data from multiple components and the final diagnostic output. This intermediary selectively includes or excludes metric data based on component relationships to the event source, managing information complexity while preserving contextual information necessary for accurate diagnosis.
Data Source
AI summary
Systems and methods utilize telemetry data to provide administrators with metric information related to a detected IHS (Information Handling System) event, such as an error condition, where the provided metric information is particularized to the context of the event. A remote access controller (RAC) of the IHS stores metric reports received from metric sources. The RAC receives an indication of the event that specifies a first IHS component as a source of the event and specifies a time associated with the event. The RAC identifies stored metric reports generated by the first component prior to the first time and identifies stored metric reports generated by components that are logically and/o physically related to the first component. The RAC generates an event report that includes the metric reports generated by the first component prior to the first time and the metric reports generated by components related to the first component.