Telemetry Aggregation System for Scalable Data Center Asset Monitoring
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Solution Overview
Problem
Data center management systems face challenges in efficiently collecting and aggregating telemetry information from large numbers of assets due to varying data generation rates, network complexities, and the need for bidirectional, always-connected management to ensure timely and secure management actions.
Innovation Solution
A method and system for performing telemetry aggregation operations by determining asset capabilities, constructing normalized requests, and receiving telemetry information from data center assets, utilizing a processor, data bus, and computer-readable storage medium with instructions for constructing and providing requests, and receiving data, which includes a telemetry aggregation system to scalably collect and manage data from multiple assets.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If telemetry information is collected from a large number of data center assets with varying data generation rates, then comprehensive monitoring coverage is improved, but system complexity and network overhead increase
Solution Approach 1:
The system segments telemetry collection by establishing individual bidirectional communication channels with each data center asset, allowing independent control and management of each asset's data flow. This segmentation enables comprehensive monitoring while managing complexity through localized control mechanisms.
Solution Approach 2:
The system dynamically adjusts telemetry collection based on each asset's capabilities and data generation rate. The bidirectional communication allows the system to adapt collection parameters in real-time, optimizing the balance between monitoring coverage and system complexity for each individual asset.
2Reliability
If bidirectional connectivity is established with all data center assets, then management reliability and security are improved, but network overhead and connection management complexity increase
Solution Approach 1:
Each data center asset independently manages its own bidirectional communication channel with the management system. The assets autonomously handle authentication, data transmission, and response processing, reducing the management overhead while maintaining reliable and secure connections.
Solution Approach 2:
The bidirectional communication mechanism serves multiple functions including telemetry collection, control指令 transmission, authentication, and error handling through a single unified channel. This multi-functionality reduces overall system complexity despite establishing multiple connections.
3Measurement precision
If normalized telemetry requests are constructed and provided to multiple assets, then data consistency and comparability are improved, but processing time and system response delay increase
Solution Approach 1:
The normalization template is prepared in advance with predefined structures and formats. When telemetry collection is needed, the system simply instantiates the pre-defined template rather than constructing normalization logic from scratch, significantly reducing processing time while maintaining data consistency.
Solution Approach 2:
The system changes parameters such as data formats, field names, and aggregation levels based on asset-specific capabilities while maintaining a consistent normalized structure. This allows flexibility in data collection without compromising the time efficiency of the normalization process.
Data Source
AI summary
A system, method, and computer-readable medium for performing a data center asset telemetry operation. The data center asset telemetry operation includes: determining telemetry capabilities of a plurality of data center assets; constructing normalized telemetry information collection requests; providing the normalized telemetry information collection requests to the plurality of data center assets; and, receiving telemetry information from the plurality of data center assets.