2012 · 16th IASTED International Conference on Software Engineering and Applications (SEA 2012)
An Efficient Analysis Approach for Multi-Core System Tracing Data
Evidence basis: abstract-and-metadata-reviewed · Review status: catalog-reviewed; paper-author approval pending
kernel-tracing trace-analysis trace-abstraction performance-analysis
multi-core tracing stateful trace analysis trace abstraction pattern matching kernel tracing computation sharing storage efficiency
Core contribution: The publisher abstract presents stateful trace analysis and abstraction for parallel-process traces, with shared computation and storage for recurring information.
Catalog abstract summary
The publisher abstract describes a stateful trace-analysis and abstraction approach for parallel processes. It claims that sharing common information can reduce computation and storage compared with stateless approaches.
Source: ActaPress publisher abstract, paraphrased; full text not obtained.
Problem and motivation
The abstract frames stateless analysis of multi-core traces as costly when repeated information is recomputed or stored independently.
Method and contribution
Only the abstract-level description is verified: stateful trace analysis, abstraction, pattern support, and sharing of common information. The tracer, event set, data structure, and evaluation setup remain unverified.
Findings and evidence
The abstract reports a qualitative computation- and storage-efficiency advantage over stateless approaches; no numeric result or workload was accessible.
Limitations and future directions
Limitations: Pages, implementation details, datasets, workloads, and quantitative evaluation were not available in the captured sources.
Future work: The paper's detailed limitations and future-work section remains unverified pending full-text access.
Sources and identifiers
- Published version published
- Publisher abstract public_abstract
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{ezzatiJivan2012anefficient,
author = {Naser Ezzati-Jivan and Michel R. Dagenais},
title = {An Efficient Analysis Approach for Multi-Core System Tracing Data},
year = {2012},
booktitle = {16th IASTED International Conference on Software Engineering and Applications (SEA 2012)},
publisher = {ACTAPRESS},
doi = {10.2316/P.2012.790-053},
url = {https://doi.org/10.2316/P.2012.790-053}
}Other citation formats for Word and reference managers
Ezzati-Jivan, N., & Dagenais, M. R. (2012). An Efficient Analysis Approach for Multi-Core System Tracing Data. In 16th IASTED International Conference on Software Engineering and Applications (SEA 2012). https://doi.org/10.2316/P.2012.790-053N. Ezzati-Jivan and M. R. Dagenais, "An Efficient Analysis Approach for Multi-Core System Tracing Data," in 16th IASTED International Conference on Software Engineering and Applications (SEA 2012), 2012, doi: 10.2316/P.2012.790-053