2023 · 2023 IEEE International Conference on Software Engineering and Research (SERA)
Multi-level Adaptive Execution Tracing for Efficient Performance Analysis
Evidence basis: abstract-and-metadata-reviewed · Review status: catalog-reviewed; paper-author approval pending
kernel-tracing system-tracing performance-analysis adaptive-scheduling
adaptive execution tracing time-series trends multi-level tracing kernel tracing performance analysis SERA 2023
Core contribution: The accessible synopsis identifies a multi-level adaptive tracing approach that changes tracing intensity using time-series performance trends.
Catalog abstract summary
The available program synopsis describes dynamic kernel/application tracing guided by time-series trends with an emphasis on reducing tracing overhead; the exact trigger logic and evaluation were not captured.
Source: SERA program and author synopsis, paraphrased; full text not obtained.
Problem and motivation
Always-on detailed tracing can impose overhead, while coarse tracing may miss performance changes; adaptive levels aim to balance coverage and cost.
Method and contribution
Only the high-level dynamic kernel/application tracing and trend-based adaptation are verified. The event set, trigger policy, workload, and measurement protocol require the paper.
Findings and evidence
The available synopsis signals low-overhead intent but provides no page-grounded numeric result.
Limitations and future directions
Limitations: Full-text evidence is required to verify the tracer, adaptation thresholds, baseline, workload, and external validity.
Future work: The paper-specific future-work section remains unverified.
Sources and identifiers
- Published version published
- SERA program public_source_record
When to cite this paper
Cite this paper when its specific method, evidence, or benchmark is directly relevant.
- The paper's method is directly relevant.
- The paper's evidence or benchmark is directly relevant.
Citation
@inproceedings{ezzatiJivan2023multilevel,
author = {Mohammed Adib Khan and Naser Ezzati-Jivan},
title = {Multi-level Adaptive Execution Tracing for Efficient Performance Analysis},
year = {2023},
booktitle = {2023 IEEE International Conference on Software Engineering and Research (SERA)},
pages = {104-109},
publisher = {IEEE},
doi = {10.1109/SERA57763.2023.10197790},
url = {https://doi.org/10.1109/SERA57763.2023.10197790}
}Other citation formats for Word and reference managers
Khan, M. A., & Ezzati-Jivan, N. (2023). Multi-level Adaptive Execution Tracing for Efficient Performance Analysis. In 2023 IEEE International Conference on Software Engineering and Research (SERA) (pp. 104-109). https://doi.org/10.1109/SERA57763.2023.10197790M. A. Khan and N. Ezzati-Jivan, "Multi-level Adaptive Execution Tracing for Efficient Performance Analysis," in 2023 IEEE International Conference on Software Engineering and Research (SERA), pp. 104-109, 2023, doi: 10.1109/SERA57763.2023.10197790