Telemetry Aggregation via Response Time Segmentation
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Solution Overview
Problem
Data center management systems face challenges in efficiently collecting and aggregating telemetry information from large numbers of data center assets due to varying response times and network complexities, leading to potential delays and loss of data.
Innovation Solution
A method and system for performing telemetry aggregation by associating data center assets into groups based on their response times, using a processor and data center asset client module to collect and aggregate telemetry information according to a cycle time, ensuring timely and efficient data collection.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If telemetry information is collected from all data center assets using a single aggregation cycle time, then the system structure is simple, but assets with slower response times cause delays and data loss
Solution Approach 1:
The patent segments data center assets into multiple groups based on their telemetry response times. Each group is assigned a customized aggregation cycle time appropriate to its performance characteristics. This segmentation ensures that fast-response assets can be aggregated frequently while slow-response assets are given adequate time to respond, thereby improving overall data collection reliability without requiring a single overly conservative cycle time for all assets.
2Reliability
If a longer aggregation cycle time is used to accommodate slow response assets, then all assets can be collected, but fast response assets experience unnecessary delays
Solution Approach 1:
By dividing assets into response-time-based segments, the system can apply different aggregation cycle times to different groups. Fast-response assets use shorter cycle times to minimize delays, while slow-response assets use longer cycle times to ensure complete data collection. This eliminates the need to choose a single cycle time that compromises both groups.
Solution Approach 2:
The patent applies local quality by customizing the aggregation cycle time according to the specific characteristics of each asset group. Each group receives the appropriate cycle time length based on its average response time, allowing optimal collection frequency for fast assets while ensuring completeness for slow assets, rather than applying a uniform cycle time to all.
3Measurement precision
If telemetry collection frequency is increased for fast response assets, then data freshness is improved, but network bandwidth and processing resources are consumed excessively
Solution Approach 1:
The patent segments assets by response time and assigns different aggregation cycle times to each segment. Fast-response assets are placed in groups with shorter cycle times, enabling frequent data collection to maintain freshness. Slow-response assets are placed in groups with longer cycle times, reducing collection frequency and thereby decreasing overall network bandwidth and processing resource consumption.
Solution Approach 2:
The system applies local quality by tailoring the aggregation cycle time to the specific needs and capabilities of each asset group. Fast assets receive high-frequency collection to maintain data freshness, while slow assets receive low-frequency collection, optimizing the balance between data quality and resource consumption for each local group.
Data Source
AI summary
A system, method, and computer-readable medium for performing a telemetry aggregation operation. The telemetry aggregation operation includes: associating a data center asset from a plurality of data center assets with a data center asset group, the associating being based upon a telemetry information response time of the data center asset; identifying a telemetry aggregation cycle time for the data center asset group; collecting telemetry information from the data center asset of the plurality of data center assets; and, aggregating the telemetry information according to the telemetry aggregation cycle time.