{ "schema_version": "0.6.0", "paper_id": "distributed-architecture-for-an-integrated-development-environment-large-trace-analysis-and-visu", "page_url": "https://naser.github.io/research-publications/papers/distributed-architecture-for-an-integrated-development-environment-large-trace-analysis-and-visu/", "title": "Distributed Architecture for an Integrated Development Environment, Large Trace Analysis, and Visualization", "title_variants": [], "authors": [ "Yonni Chen Kuang Piao", "Naser Ezzati-Jivan", "Michel R. Dagenais" ], "author_details": [ { "name": "Yonni Chen Kuang Piao", "orcid": null, "profile_url": "https://dblp.org/pid/300/5925.html" }, { "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": "https://dblp.org/pid/60/309.html" } ], "publication": { "year": 2021, "venue": "Sensors", "type": "journal article", "publication_date": "2021-08-18", "online_date": "2021-08-18", "print_date": null, "volume": "21", "issue": "16", "pages": "5560", "article_number": null, "publisher": "MDPI AG", "issn": [ "1424-8220" ], "isbn": [], "crossref_type": "journal-article" }, "publication_type": "journal article", "status": "published_with_public_full_text", "canonical_source_url": "https://doi.org/10.3390/s21165560", "source_record_id": "distributed-architecture-for-an-integrated-development-environment-large-trace-analysis-and-visu-42c61cf1e0", "identifiers": { "doi": "10.3390/s21165560" }, "abstract": null, "abstract_source": "Open-access/institutional full-text PDF reviewed; abstract paraphrased for this catalog.", "abstract_available": false, "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 paper presents a modular client-server architecture for large-trace storage, analysis, and visualization inside an integrated development environment.", "evidence_level": "full-text-reviewed", "evidence": { "source_basis": "full-text-reviewed", "coverage": "material paper sections", "summary_origin": "AI-assisted catalog editorial summary", "review_status": "catalog-reviewed; paper-author approval pending", "verified_on": "2026-08-09", "sources": [ { "note": "Sensors/institutional PDF: Trace Compass, TraceScape, LTTng 2.10.3, TASP, data providers, serialization, and visualization architecture" }, { "note": "Sensors/institutional PDF: 2.47 GB/75-million-event trace, state-model sizes, serialization payload/overhead, request latency, and rendering measurements" }, { "note": "Sensors/institutional PDF: small-trace, REST/gRPC, and qualitative-maintainability limitations plus future-work direction" }, { "note": "Local PDF hash verified in pdf-evidence/extraction-manifest.json" } ] }, "summary": { "core_contribution": "The paper presents a modular client-server architecture for large-trace storage, analysis, and visualization inside an integrated development environment.", "problem": "IDE trace analysis tools are difficult to integrate when trace storage, analysis, and visualization are monolithic, and large traces make browser transfer and rendering expensive.", "method": "Use a modular distributed architecture with a Trace Analysis Server, Data Provider, API Gateway/service discovery, TASP REST API, generic Timegraph/XY models, JSON/GZip JSON/Protobuf serialization, and client throttling/caching; TraceScape provides the JavaScript client and PixiJS rendering.", "findings": "On a 2.47 GB/approximately 75M-event trace, Protobuf generally reduced transfer and serialization overhead relative to JSON and GZip JSON, while GZip often minimized payload size. PixiJS rendered 25/200 timegraph rows in 6.79/68.67 ms, and the client/server penalty was generally tens of milliseconds rather than trace-scale processing time.", "limitations": "The evaluation is local and focuses on selected XY/timegraph queries and browser rendering; small traces may not benefit. REST versus gRPC was not fully evaluated, request-volume stress and broader workloads are limited, and maintainability/flexibility claims are mainly architectural.", "future_work": "Link trace views to IDE code problems, evaluate broader workloads and deployments, and compare additional transport/protocol choices such as gRPC." }, "tags": [ "system-tracing", "trace-analysis", "observability", "performance-optimization", "multicore-systems" ], "keywords": [ "distributed architecture", "Trace Compass", "TraceScape", "LTTng 2.10.3", "Trace Analysis Server Protocol", "TASP", "Protobuf", "GZip JSON", "large traces", "state models", "trace visualization", "PixiJS", "Chart.js", "HighCharts" ], "versions": [ { "id": "published-version", "label": "Published version", "relation": "version-of-record", "title": "Distributed Architecture for an Integrated Development Environment, Large Trace Analysis, and Visualization", "url": "https://doi.org/10.3390/s21165560", "pdf_url": null, "status": "published", "canonical_for_citation": true }, { "id": "public-full-text", "label": "Public full text", "relation": "source-record", "title": "Distributed Architecture for an Integrated Development Environment, Large Trace Analysis, and Visualization", "url": "https://publications.polymtl.ca/9436/1/2021_Chen%20Kuang%20Piao_Distributed_Architecture_Integrated_Development_Environment.pdf", "pdf_url": "https://publications.polymtl.ca/9436/1/2021_Chen%20Kuang%20Piao_Distributed_Architecture_Integrated_Development_Environment.pdf", "status": "public_full_text", "canonical_for_citation": false } ], "access": { "status": "published_with_public_full_text", "note": "The DOI is the canonical citation target; the public full-text or author-manuscript link is external and the PDF is not redistributed here.", "license": null }, "resources": { "code": "https://github.com/cheninator/trace-scape", "data": null, "slides": null, "demo": null }, "citation_guidance": { "when_to_cite": "Cite this paper when your work uses or compares a modular TASP architecture that separates trace storage, analysis services, APIs, and IDE visualization.", "points": [ "For a modular TASP architecture that separates trace storage, analysis services, APIs, and IDE visualization.", "For generic `Timegraph`/`XY` data models plus client throttling/caching for large trace views.", "For Protobuf versus JSON/GZip JSON payload and latency trade-offs on a 2.47 GB, approximately 75M-event trace.", "For PixiJS-based timegraph rendering measurements at 25 and 200 rows." ], "canonical_version_id": "published-version" }, "provenance": { "metadata_verified_on": "2026-08-09", "metadata_source": [ "Sensors/institutional PDF: Trace Compass, TraceScape, LTTng 2.10.3, TASP, data providers, serialization, and visualization architecture", "Sensors/institutional PDF: 2.47 GB/75-million-event trace, state-model sizes, serialization payload/overhead, request latency, and rendering measurements", "Sensors/institutional PDF: small-trace, REST/gRPC, and qualitative-maintainability limitations plus future-work direction", "Local PDF hash verified in pdf-evidence/extraction-manifest.json" ], "summary_written_by": "AI-assisted", "summary_verified_by": "full-text-grounded catalog review; 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" } }