Attributing the Unseen: High-Precision CPU Profiling via Trace-Join Analytics

Varun Raj

Attributing the Unseen: High-Precision CPU Profiling via Trace-Join Analytics

Authors

Varun Raj

Keywords:

CPU Profiling, Distributed Systems, Performance Attribution, Trace Analytics, Flame Graphs

Abstract

One of the major challenges of modern distributed systems is to understand CPU consumption patterns. Existing profiling tools cannot indicate which experiments or traffic patterns caused the CPU to be busy. This creates challenges for developers in diagnosing performance issues. The proposed system uses unique sequence tagging to correlate profiling with attribution

References

Anna Ben-Hamou, et al., "Weighted sampling without replacement," arXiv, 2017. Available: https://imstat.org/wp-content/uploads/import/BJPS359.pdf

Shir Landau-Feibish, et al., "Compact Data Structures for Network Telemetry," ACM Computing Surveys, 2025. Available: https://dl.acm.org/doi/10.1145/3716819

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Published

2026-03-07

How to Cite

Varun Raj. (2026). Attributing the Unseen: High-Precision CPU Profiling via Trace-Join Analytics. Journal of Computational Analysis and Applications (JoCAAA), 35(3), 331–341. Retrieved from https://www.eudoxuspress.com/index.php/pub/article/view/5153