{
  "schema_version": "0.6.0",
  "paper_id": "efficient-analysis-multi-core-system-tracing-data",
  "page_url": "https://naser.github.io/research-publications/papers/efficient-analysis-multi-core-system-tracing-data/",
  "title": "An Efficient Analysis Approach for Multi-Core System Tracing Data",
  "title_variants": [],
  "authors": [
    "Naser Ezzati-Jivan",
    "Michel R. Dagenais"
  ],
  "author_details": [
    {
      "name": "Naser Ezzati-Jivan",
      "orcid": "https://orcid.org/0000-0003-1435-6297",
      "profile_url": "https://naser.github.io/"
    },
    {
      "name": "Michel R. Dagenais",
      "orcid": null,
      "profile_url": null
    }
  ],
  "publication": {
    "year": 2012,
    "venue": "16th IASTED International Conference on Software Engineering and Applications (SEA 2012)",
    "type": "conference paper",
    "publication_date": "2012",
    "online_date": null,
    "print_date": "2012",
    "volume": null,
    "issue": null,
    "pages": null,
    "article_number": null,
    "publisher": "ACTAPRESS",
    "issn": [],
    "isbn": [],
    "crossref_type": "proceedings-article"
  },
  "publication_type": "conference paper",
  "status": "published_with_public_abstract",
  "canonical_source_url": "https://doi.org/10.2316/P.2012.790-053",
  "source_record_id": "an-efficient-analysis-approach-for-multi-core-system-tracing-data-67abba75b9",
  "identifiers": {
    "doi": "10.2316/P.2012.790-053"
  },
  "abstract": "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.",
  "abstract_source": "ActaPress publisher abstract, paraphrased; full text not obtained.",
  "abstract_available": true,
  "scholar_eligibility": {
    "eligible": false,
    "basis": "not-eligible",
    "note": "The page is a discovery record; it does not claim Google Scholar article-host eligibility."
  },
  "description": "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.",
  "evidence_level": "metadata-or-abstract-reviewed",
  "evidence": {
    "source_basis": "abstract-and-metadata-reviewed",
    "coverage": "abstract and bibliographic metadata",
    "summary_origin": "AI-assisted catalog editorial summary",
    "review_status": "catalog-reviewed; paper-author approval pending",
    "verified_on": "2026-08-09",
    "sources": [
      {
        "note": "ActaPress publisher abstract: https://m.actapress.com/Abstract.aspx?paperId=454815"
      },
      {
        "note": "PolyPublie institutional record: https://publications.polymtl.ca/15433/"
      },
      {
        "note": "Private evidence note: pdf-evidence/notes/parallel-batch-04-an-efficient-analysis-approach-for-multi-core-system-tracing-data.md"
      }
    ]
  },
  "summary": {
    "core_contribution": "The publisher abstract presents stateful trace analysis and abstraction for parallel-process traces, with shared computation and storage for recurring information.",
    "problem": "The abstract frames stateless analysis of multi-core traces as costly when repeated information is recomputed or stored independently.",
    "method": "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": "The abstract reports a qualitative computation- and storage-efficiency advantage over stateless approaches; no numeric result or workload was accessible.",
    "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."
  },
  "tags": [
    "kernel-tracing",
    "trace-analysis",
    "trace-abstraction",
    "performance-analysis"
  ],
  "keywords": [
    "multi-core tracing",
    "stateful trace analysis",
    "trace abstraction",
    "pattern matching",
    "kernel tracing",
    "computation sharing",
    "storage efficiency"
  ],
  "versions": [
    {
      "id": "published-version",
      "label": "Published version",
      "relation": "version-of-record",
      "title": "An Efficient Analysis Approach for Multi-Core System Tracing Data",
      "url": "https://doi.org/10.2316/P.2012.790-053",
      "pdf_url": null,
      "status": "published",
      "canonical_for_citation": true
    },
    {
      "id": "publisher-abstract",
      "label": "Publisher abstract",
      "relation": "source-record",
      "title": "An Efficient Analysis Approach for Multi-Core System Tracing Data",
      "url": "https://m.actapress.com/Abstract.aspx?paperId=454815",
      "pdf_url": null,
      "status": "public_abstract",
      "canonical_for_citation": false
    }
  ],
  "access": {
    "status": "published_with_public_abstract",
    "note": "The publisher abstract and institutional record are available; the full text was not obtained, so detailed technical fields remain provisional.",
    "license": null
  },
  "resources": {
    "code": null,
    "data": null,
    "slides": null,
    "demo": null
  },
  "citation_guidance": {
    "when_to_cite": "Cite this paper when its specific method, evidence, or benchmark is directly relevant.",
    "points": [
      "The paper's method is directly relevant.",
      "The paper's evidence or benchmark is directly relevant."
    ],
    "canonical_version_id": "published-version"
  },
  "provenance": {
    "metadata_verified_on": "2026-08-09",
    "metadata_source": [
      "ActaPress publisher abstract: https://m.actapress.com/Abstract.aspx?paperId=454815",
      "PolyPublie institutional record: https://publications.polymtl.ca/15433/",
      "Private evidence note: pdf-evidence/notes/parallel-batch-04-an-efficient-analysis-approach-for-multi-core-system-tracing-data.md"
    ],
    "summary_written_by": "AI-assisted",
    "summary_verified_by": "metadata/abstract-grounded catalog review; full-text review and author approval pending",
    "linked_preprint_record": null,
    "author_order_note": null
  },
  "batch": {
    "phase": 2,
    "batch_label": "expanded forty-paper release",
    "status": "included_in_expanded_catalog",
    "selected_at": "2026-08-09"
  }
}