Telemetry Service Mapping for Composed Information Handling Systems
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Solution Overview
Problem
Managing and analyzing the large volume of telemetry data generated by composed information handling systems is challenging due to the difficulty in maintaining physical to logical component mappings, requiring users to manually parse significant amounts of data, which is time-consuming.
Innovation Solution
A system and method that utilizes a system control processor manager to aggregate telemetry data based on a telemetry data map entry, efficiently managing and providing telemetry services by identifying transaction identifiers and intent, thereby facilitating automated data collection and mapping of physical to logical components.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual parsing of telemetry data is used, then users can analyze the state of hardware and software component allocations, but the process is time-consuming and inefficient
Solution Approach 1:
The system pre-generates and stores telemetry data map entries that associate transaction identifiers with hardware and software component allocations before users need to analyze them. When a user requests telemetry data, the pre-prepared map entries enable immediate retrieval and aggregation without manual parsing, thus preserving analysis accuracy while eliminating time-consuming data processing
Solution Approach 2:
The patent introduces a telemetry data map as an intermediary structure that sits between the raw telemetry data generation and user analysis. This map automatically correlates transaction identifiers with component allocation states, serving as a mediator that transforms raw data into analyzable information without requiring user intervention in the parsing process
2Productivity
If telemetry data is aggregated automatically using transaction identifiers and telemetry intent, then data processing efficiency is improved, but the system complexity increases
Solution Approach 1:
The system segments the telemetry data management process into distinct functional components: transaction identifier generation, telemetry intent identification, map entry association, and data aggregation. Each component handles a specific aspect of the process, making the overall complex system manageable through modular design while achieving high processing efficiency through automated workflows
Solution Approach 2:
The telemetry data map structure is designed to be universal, accommodating multiple types of hardware and software components through a common transaction identifier framework. This multi-functional design allows the same aggregation mechanism to handle diverse component allocations without requiring separate processing logic for each component type, thus managing complexity while maintaining versatility
Data Source
AI summary
Techniques described herein relate to a method for managing telemetry services for composed information handling systems. The method includes obtaining, by a system control processor manager, a telemetry request associated with a composed information handling system from a user; in response to obtaining the telemetry request: identifying a transaction identifier associated with the telemetry request; identifying telemetry intent associated with the telemetry request; aggregating telemetry data based on the telemetry intent and a telemetry data map entry associated with the transaction identifier to obtain aggregated telemetry data; and providing the aggregated telemetry data to the user.