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      "label": "Adaptive Scheduling",
      "title": "Adaptive Scheduling Research",
      "description": "Adaptive Scheduling research papers in the Naser Ezzati-Jivan publication catalog.",
      "intro": "This topic page groups Naser Ezzati-Jivan research papers related to adaptive scheduling. Each linked record provides the paper's problem, method, findings, limitations, keywords, and authoritative source links.",
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      "label": "Anomaly Detection",
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      "description": "Research papers on anomaly detection in traces, logs, performance data, cloud systems, and IoT environments.",
      "intro": "This topic addresses detecting behavior that differs from normal execution, service, workload, or network patterns. The papers cover statistical screening, clustering, sequence analysis, log parsing, trace evidence, and classification, with the individual records preserving the datasets, labels, baselines, and metrics used.",
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      "id": "architecture-aware-methods",
      "label": "Architecture Aware Methods",
      "title": "Architecture Aware Methods Research",
      "description": "Architecture Aware Methods research papers in the Naser Ezzati-Jivan publication catalog.",
      "intro": "This topic page groups Naser Ezzati-Jivan research papers related to architecture aware methods. Each linked record provides the paper's problem, method, findings, limitations, keywords, and authoritative source links.",
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      "title": "Benchmark Datasets Research",
      "description": "Benchmark Datasets research papers in the Naser Ezzati-Jivan publication catalog.",
      "intro": "This topic page groups Naser Ezzati-Jivan research papers related to benchmark datasets. Each linked record provides the paper's problem, method, findings, limitations, keywords, and authoritative source links.",
      "aliases": [
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      "label": "Common Sense Reasoning",
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      "description": "Common Sense Reasoning research papers in the Naser Ezzati-Jivan publication catalog.",
      "intro": "This topic page groups Naser Ezzati-Jivan research papers related to common sense reasoning. Each linked record provides the paper's problem, method, findings, limitations, keywords, and authoritative source links.",
      "aliases": [
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      "description": "Deep Learning Systems research papers in the Naser Ezzati-Jivan publication catalog.",
      "intro": "This topic page groups Naser Ezzati-Jivan research papers related to deep learning systems. Each linked record provides the paper's problem, method, findings, limitations, keywords, and authoritative source links.",
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      "url": "https://threadslab.org/research-publications/topics/deep-learning-systems.html",
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      "label": "Dependency Graphs",
      "title": "Dependency-Graph Performance Research",
      "description": "Research papers on dependency graphs for execution behavior, waiting relationships, latency, and performance diagnosis.",
      "intro": "This topic covers graph-based representations of dependencies among threads, resources, services, functions, or execution events. The linked papers use dependency structure to expose waiting relationships, critical paths, service interactions, or suspicious causes that are difficult to see in raw logs and traces.",
      "aliases": [
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      "id": "energy-efficiency",
      "label": "Energy Efficiency",
      "title": "Energy Efficiency Research",
      "description": "Energy Efficiency research papers in the Naser Ezzati-Jivan publication catalog.",
      "intro": "This topic page groups Naser Ezzati-Jivan research papers related to energy efficiency. Each linked record provides the paper's problem, method, findings, limitations, keywords, and authoritative source links.",
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      "id": "gradient-boosting",
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      "description": "Gradient Boosting research papers in the Naser Ezzati-Jivan publication catalog.",
      "intro": "This topic page groups Naser Ezzati-Jivan research papers related to gradient boosting. Each linked record provides the paper's problem, method, findings, limitations, keywords, and authoritative source links.",
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      "label": "Graph Neural Networks",
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      "description": "Graph Neural Networks research papers in the Naser Ezzati-Jivan publication catalog.",
      "intro": "This topic page groups Naser Ezzati-Jivan research papers related to graph neural networks. Each linked record provides the paper's problem, method, findings, limitations, keywords, and authoritative source links.",
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      "label": "IoT Security",
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      "description": "IoT Security research papers in the Naser Ezzati-Jivan publication catalog.",
      "intro": "This topic page groups Naser Ezzati-Jivan research papers related to iot security. Each linked record provides the paper's problem, method, findings, limitations, keywords, and authoritative source links.",
      "aliases": [
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      "search_terms": [
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      "title": "Kernel Tracing Research",
      "description": "Research papers on Linux kernel tracing, kernel events, execution analysis, and system-level performance diagnosis.",
      "intro": "This topic groups research on Linux kernel tracing and kernel-event analysis for understanding execution behavior, resource contention, performance anomalies, and system-level observability. The collection includes work on trace collection, event and state representations, diagnosis, noise reduction, and trace-driven explanations. Individual paper pages identify the actual tracer, event sources, kernel versions, workloads, and evaluation evidence when those details were reported.",
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      "count": 35,
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      "url": "https://threadslab.org/research-publications/topics/kernel-tracing.html",
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      "id": "knowledge-graphs",
      "label": "Knowledge Graphs",
      "title": "Knowledge Graphs Research",
      "description": "Knowledge Graphs research papers in the Naser Ezzati-Jivan publication catalog.",
      "intro": "This topic page groups Naser Ezzati-Jivan research papers related to knowledge graphs. Each linked record provides the paper's problem, method, findings, limitations, keywords, and authoritative source links.",
      "aliases": [
        "knowledge graphs"
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      "search_terms": [
        "Knowledge Graphs"
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      "id": "latency-analysis",
      "label": "Latency Analysis",
      "title": "Latency Analysis Research",
      "description": "Research papers on latency outliers, intermittent delays, critical paths, and performance diagnosis.",
      "intro": "This topic focuses on explaining latency rather than only measuring end-to-end response time. The records study outlier detection, dependency and critical-path analysis, blocking or preemption, resource contention, distributed request behavior, and methods for ranking likely causes of intermittent delay.",
      "aliases": [
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        "tail-latency analysis"
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      "url": "https://threadslab.org/research-publications/topics/latency-analysis.html",
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      "id": "llm-efficiency",
      "label": "LLM Efficiency",
      "title": "LLM and Transformer Efficiency Research",
      "description": "Research papers on efficient Transformer and large-language-model training, inference, and deployment.",
      "intro": "This topic covers methods for reducing the computation, memory, energy, or deployment cost of Transformer and large-language-model workloads. The records identify the efficiency intervention, model or workload, quality metric, resource measure, and trade-off reported by the source.",
      "aliases": [
        "large-language-model efficiency",
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        "efficient AI systems"
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        "quantization",
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      "id": "llm-evaluation",
      "label": "LLM Evaluation",
      "title": "LLM Evaluation Research",
      "description": "LLM Evaluation research papers in the Naser Ezzati-Jivan publication catalog.",
      "intro": "This topic page groups Naser Ezzati-Jivan research papers related to llm evaluation. Each linked record provides the paper's problem, method, findings, limitations, keywords, and authoritative source links.",
      "aliases": [
        "llm evaluation"
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      "search_terms": [
        "LLM Evaluation"
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      "count": 1,
      "href": "llm-evaluation.html",
      "url": "https://threadslab.org/research-publications/topics/llm-evaluation.html",
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      "id": "llm-assisted-analysis",
      "label": "LLM-Assisted Analysis",
      "title": "LLM-Assisted Systems Analysis Research",
      "description": "Research papers on large language models for trace analysis, observability, reasoning, and systems diagnosis.",
      "intro": "This topic groups work that uses large language models to query, summarize, reason over, or govern system evidence. The papers distinguish the trace or structured representation provided to the model, the reasoning task, evaluation data, and the limits of language-model assistance for technical diagnosis.",
      "aliases": [
        "LLM systems analysis",
        "large language models for tracing",
        "LLM-assisted observability"
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      "search_terms": [
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        "large language models",
        "trace question answering",
        "LLM observability",
        "agentic systems"
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      "count": 5,
      "href": "llm-assisted-analysis.html",
      "url": "https://threadslab.org/research-publications/topics/llm-assisted-analysis.html",
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      "id": "lttng",
      "label": "LTTng",
      "title": "LTTng Tracing Research",
      "description": "Research papers using LTTng or LTTng-UST for kernel, user-space, cloud, and performance tracing.",
      "intro": "This topic collects papers in the catalog that explicitly use LTTng or LTTng-UST for operating-system, user-space, container, cloud, or application tracing. The linked records describe the instrumentation scope, trace events, CTF or decoding pipeline, workloads, and tracing overhead only where those details are supported by the source evidence.",
      "aliases": [
        "LTTng tracing",
        "LTTng-UST",
        "Linux Trace Toolkit next generation"
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      "search_terms": [
        "LTTng",
        "LTTng-UST",
        "kernel tracepoints",
        "CTF tracing",
        "Babeltrace"
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        "system-tracing",
        "trace-analysis",
        "trace-filtering",
        "observability"
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      "count": 7,
      "href": "lttng.html",
      "url": "https://threadslab.org/research-publications/topics/lttng.html",
      "json": "lttng.json"
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      "label": "Machine Learning",
      "title": "Machine Learning for Systems Research",
      "description": "Research papers applying machine learning to performance, tracing, anomaly detection, security, and systems analysis.",
      "intro": "This topic collects papers that use machine-learning models or learning-based analysis for systems and software problems. The records identify the model, features, training data, baselines, evaluation metrics, and operational goal—such as anomaly detection, prediction, classification, or trace analysis.",
      "aliases": [
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        "learning-based performance analysis"
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        "systems machine learning",
        "anomaly detection",
        "performance prediction",
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      "count": 23,
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      "id": "microservices",
      "label": "Microservices",
      "title": "Microservices Performance and Reliability Research",
      "description": "Research papers on microservice traces, call graphs, latency, performance, and root-cause analysis.",
      "intro": "This topic gathers work on understanding multi-service applications through distributed traces, service-invocation graphs, profiling metrics, and performance models. The papers address latency variation, service interactions, anomaly detection, trace reduction, and root-cause localization in microservice environments.",
      "aliases": [
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        "distributed service analysis"
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      "id": "model-compression",
      "label": "Model Compression",
      "title": "Model Compression Research",
      "description": "Model Compression research papers in the Naser Ezzati-Jivan publication catalog.",
      "intro": "This topic page groups Naser Ezzati-Jivan research papers related to model compression. Each linked record provides the paper's problem, method, findings, limitations, keywords, and authoritative source links.",
      "aliases": [
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      "search_terms": [
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      "label": "Multicore Systems",
      "title": "Multicore Systems Performance Research",
      "description": "Research papers on multicore execution, thread interactions, scheduling, contention, and performance diagnosis.",
      "intro": "This topic groups research on performance behavior in multicore and parallel systems. The records address thread scheduling, synchronization, resource contention, execution paths, waiting dependencies, and system-level evidence for explaining variation across cores and workloads.",
      "aliases": [
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        "parallel execution analysis",
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      "label": "Multimodal AI",
      "title": "Multimodal AI Research",
      "description": "Multimodal AI research papers in the Naser Ezzati-Jivan publication catalog.",
      "intro": "This topic page groups Naser Ezzati-Jivan research papers related to multimodal ai. Each linked record provides the paper's problem, method, findings, limitations, keywords, and authoritative source links.",
      "aliases": [
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      "search_terms": [
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      "id": "observability",
      "label": "Observability",
      "title": "Systems Observability Research",
      "description": "Research papers on observability, tracing, monitoring, runtime evidence, and diagnosis of complex software systems.",
      "intro": "This topic covers the collection and interpretation of runtime evidence needed to understand complex software systems. It links work on tracing, monitoring, dependency context, anomaly detection, adaptive evidence collection, and runtime governance for applications, services, cloud platforms, and agentic systems.",
      "aliases": [
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        "systems monitoring"
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      "search_terms": [
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      "count": 20,
      "href": "observability.html",
      "url": "https://threadslab.org/research-publications/topics/observability.html",
      "json": "observability.json"
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      "id": "performance-analysis",
      "label": "Performance Analysis",
      "title": "Software Performance Analysis Research",
      "description": "Research papers on software performance analysis, bottleneck localization, latency, overhead, and execution behavior.",
      "intro": "This topic is the broad performance-analysis entry point for the catalog. It connects work on bottleneck localization, latency anomalies, resource contention, execution paths, tracing overhead, performance modeling, and diagnosis across multicore, cloud, web, and distributed systems.",
      "aliases": [
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      "search_terms": [
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      "url": "https://threadslab.org/research-publications/topics/performance-analysis.html",
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      "label": "Performance Engineering",
      "title": "Software Performance Engineering Research",
      "description": "Research papers on performance engineering, measurement, optimization, workload behavior, and systems efficiency.",
      "intro": "This topic groups research concerned with measuring, explaining, and improving software-system performance. It includes instrumentation, workload characterization, antipattern detection, resource analysis, optimization, and evidence-based performance decisions across operating systems, applications, and services.",
      "aliases": [
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      "description": "Performance Modeling research papers in the Naser Ezzati-Jivan publication catalog.",
      "intro": "This topic page groups Naser Ezzati-Jivan research papers related to performance modeling. Each linked record provides the paper's problem, method, findings, limitations, keywords, and authoritative source links.",
      "aliases": [
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      "search_terms": [
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      "url": "https://threadslab.org/research-publications/topics/performance-modeling.html",
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      "label": "Performance Optimization",
      "title": "Performance Optimization Research",
      "description": "Performance Optimization research papers in the Naser Ezzati-Jivan publication catalog.",
      "intro": "This topic page groups Naser Ezzati-Jivan research papers related to performance optimization. Each linked record provides the paper's problem, method, findings, limitations, keywords, and authoritative source links.",
      "aliases": [
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      "search_terms": [
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      "id": "predictive-monitoring",
      "label": "Predictive Monitoring",
      "title": "Predictive Monitoring Research",
      "description": "Predictive Monitoring research papers in the Naser Ezzati-Jivan publication catalog.",
      "intro": "This topic page groups Naser Ezzati-Jivan research papers related to predictive monitoring. Each linked record provides the paper's problem, method, findings, limitations, keywords, and authoritative source links.",
      "aliases": [
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      "search_terms": [
        "Predictive Monitoring"
      ],
      "related": [],
      "count": 4,
      "href": "predictive-monitoring.html",
      "url": "https://threadslab.org/research-publications/topics/predictive-monitoring.html",
      "json": "predictive-monitoring.json"
    },
    {
      "id": "resource-analysis",
      "label": "Resource Analysis",
      "title": "Resource Analysis Research",
      "description": "Resource Analysis research papers in the Naser Ezzati-Jivan publication catalog.",
      "intro": "This topic page groups Naser Ezzati-Jivan research papers related to resource analysis. Each linked record provides the paper's problem, method, findings, limitations, keywords, and authoritative source links.",
      "aliases": [
        "resource analysis"
      ],
      "search_terms": [
        "Resource Analysis"
      ],
      "related": [],
      "count": 17,
      "href": "resource-analysis.html",
      "url": "https://threadslab.org/research-publications/topics/resource-analysis.html",
      "json": "resource-analysis.json"
    },
    {
      "id": "responsible-ai",
      "label": "Responsible AI",
      "title": "Responsible AI Research",
      "description": "Responsible AI research papers in the Naser Ezzati-Jivan publication catalog.",
      "intro": "This topic page groups Naser Ezzati-Jivan research papers related to responsible ai. Each linked record provides the paper's problem, method, findings, limitations, keywords, and authoritative source links.",
      "aliases": [
        "responsible ai"
      ],
      "search_terms": [
        "Responsible AI"
      ],
      "related": [],
      "count": 1,
      "href": "responsible-ai.html",
      "url": "https://threadslab.org/research-publications/topics/responsible-ai.html",
      "json": "responsible-ai.json"
    },
    {
      "id": "root-cause-analysis",
      "label": "Root-Cause Analysis",
      "title": "Systems Root-Cause Analysis Research",
      "description": "Research papers on root-cause analysis for performance, latency, resource, tracing, and distributed-systems failures.",
      "intro": "This topic collects methods that move from an observed anomaly to a ranked or explained cause. The records cover dependency graphs, spectrum-based localization, critical-path evidence, statistical debugging, profiling, and cross-layer traces for identifying the resources, services, functions, or interactions responsible for a failure or slowdown.",
      "aliases": [
        "root cause analysis",
        "RCA",
        "performance root-cause localization"
      ],
      "search_terms": [
        "root-cause analysis",
        "RCA",
        "fault localization",
        "performance diagnosis",
        "latency culprit ranking"
      ],
      "related": [
        "performance-analysis",
        "latency-analysis",
        "observability",
        "dependency-graphs",
        "system-tracing"
      ],
      "count": 19,
      "href": "root-cause-analysis.html",
      "url": "https://threadslab.org/research-publications/topics/root-cause-analysis.html",
      "json": "root-cause-analysis.json"
    },
    {
      "id": "social-network-analysis",
      "label": "Social Network Analysis",
      "title": "Social Network Analysis Research",
      "description": "Social Network Analysis research papers in the Naser Ezzati-Jivan publication catalog.",
      "intro": "This topic page groups Naser Ezzati-Jivan research papers related to social network analysis. Each linked record provides the paper's problem, method, findings, limitations, keywords, and authoritative source links.",
      "aliases": [
        "social network analysis"
      ],
      "search_terms": [
        "Social Network Analysis"
      ],
      "related": [],
      "count": 3,
      "href": "social-network-analysis.html",
      "url": "https://threadslab.org/research-publications/topics/social-network-analysis.html",
      "json": "social-network-analysis.json"
    },
    {
      "id": "system-tracing",
      "label": "System Tracing",
      "title": "System Tracing Research",
      "description": "Research papers on system-level tracing, execution events, cross-layer instrumentation, and performance analysis.",
      "intro": "This topic covers system-level execution tracing across operating-system, runtime, application, and distributed-service layers. The papers use traces to reconstruct execution states, correlate requests with resource behavior, identify bottlenecks, and support performance or reliability analysis. Tool and version details are kept on the individual records so the topic page remains a map of the research area rather than a generic tool list.",
      "aliases": [
        "system-level tracing",
        "execution tracing",
        "system trace analysis"
      ],
      "search_terms": [
        "system tracing",
        "execution traces",
        "cross-layer tracing",
        "runtime observability"
      ],
      "related": [
        "kernel-tracing",
        "trace-analysis",
        "observability",
        "performance-analysis",
        "trace-visualization"
      ],
      "count": 40,
      "href": "system-tracing.html",
      "url": "https://threadslab.org/research-publications/topics/system-tracing.html",
      "json": "system-tracing.json"
    },
    {
      "id": "trace-abstraction",
      "label": "Trace Abstraction",
      "title": "Trace Abstraction Research",
      "description": "Research papers on abstracting execution traces into compact, semantic, graph, or queryable representations.",
      "intro": "This topic covers techniques that reduce or reorganize execution-trace detail while preserving information needed for analysis. The records include state histories, semantic events, graph representations, knowledge-graph views, and query-oriented abstractions for navigating or reasoning about large traces.",
      "aliases": [
        "execution trace abstraction",
        "trace summarization",
        "semantic trace representation"
      ],
      "search_terms": [
        "trace abstraction",
        "trace summarization",
        "semantic events",
        "state history",
        "knowledge graph traces"
      ],
      "related": [
        "trace-analysis",
        "trace-reduction",
        "trace-visualization",
        "knowledge-graphs",
        "llm-assisted-analysis"
      ],
      "count": 9,
      "href": "trace-abstraction.html",
      "url": "https://threadslab.org/research-publications/topics/trace-abstraction.html",
      "json": "trace-abstraction.json"
    },
    {
      "id": "trace-analysis",
      "label": "Trace Analysis",
      "title": "Execution Trace Analysis Research",
      "description": "Research papers on execution-trace analysis, event modeling, dependency reasoning, and performance diagnosis.",
      "intro": "This topic focuses on methods that transform execution traces into analyzable representations such as states, graphs, sequences, profiles, or statistical features. The collection includes trace-based diagnosis, event modeling, anomaly detection, dependency reasoning, and analysis pipelines for large or distributed systems.",
      "aliases": [
        "execution trace analysis",
        "system trace analysis",
        "trace-based diagnosis"
      ],
      "search_terms": [
        "execution traces",
        "trace data analysis",
        "trace mining",
        "trace-based performance diagnosis"
      ],
      "related": [
        "kernel-tracing",
        "system-tracing",
        "trace-abstraction",
        "trace-reduction",
        "root-cause-analysis"
      ],
      "count": 30,
      "href": "trace-analysis.html",
      "url": "https://threadslab.org/research-publications/topics/trace-analysis.html",
      "json": "trace-analysis.json"
    },
    {
      "id": "trace-filtering",
      "label": "Trace Filtering",
      "title": "Trace Filtering Research",
      "description": "Research papers on filtering execution traces, selecting events, and retaining evidence for performance analysis.",
      "intro": "This topic groups methods for selecting useful events, paths, or entities from execution traces. The goal is to reduce irrelevant data while preserving evidence for diagnosis, visualization, modeling, or anomaly analysis. Each paper page distinguishes the filtering rule, retained evidence, workload, and measured reduction or overhead.",
      "aliases": [
        "execution trace filtering",
        "trace event selection",
        "selective tracing"
      ],
      "search_terms": [
        "trace filtering",
        "event selection",
        "selective tracing",
        "trace volume reduction"
      ],
      "related": [
        "trace-reduction",
        "trace-analysis",
        "kernel-tracing",
        "performance-analysis",
        "observability"
      ],
      "count": 3,
      "href": "trace-filtering.html",
      "url": "https://threadslab.org/research-publications/topics/trace-filtering.html",
      "json": "trace-filtering.json"
    },
    {
      "id": "trace-reduction",
      "label": "Trace Reduction",
      "title": "Trace Reduction Research",
      "description": "Research papers on reducing trace volume, event loss, and storage cost while preserving diagnostic evidence.",
      "intro": "This topic addresses the cost of collecting, storing, and analyzing large execution traces. The papers study reduction through abstraction, filtering, adaptive collection, feature selection, or targeted instrumentation, with the individual records documenting the retained evidence and the measured trade-offs.",
      "aliases": [
        "trace volume reduction",
        "trace compression",
        "adaptive trace collection"
      ],
      "search_terms": [
        "trace reduction",
        "trace volume",
        "trace overhead",
        "adaptive tracing",
        "event loss"
      ],
      "related": [
        "trace-filtering",
        "trace-abstraction",
        "kernel-tracing",
        "performance-engineering",
        "resource-analysis"
      ],
      "count": 6,
      "href": "trace-reduction.html",
      "url": "https://threadslab.org/research-publications/topics/trace-reduction.html",
      "json": "trace-reduction.json"
    },
    {
      "id": "trace-visualization",
      "label": "Trace Visualization",
      "title": "Trace Visualization Research",
      "description": "Research papers on visualizing execution traces, system states, dependencies, and multiscale trace data.",
      "intro": "This topic covers visual interfaces and visual encodings for navigating execution traces and understanding system behavior. The collection includes multiscale timelines, state views, dependency and interaction graphs, critical paths, labels, and visual support for performance diagnosis.",
      "aliases": [
        "execution trace visualization",
        "large trace visualization",
        "trace navigation"
      ],
      "search_terms": [
        "trace visualization",
        "trace navigation",
        "multiscale timelines",
        "execution-state visualization"
      ],
      "related": [
        "trace-analysis",
        "trace-abstraction",
        "trace-reduction",
        "performance-analysis",
        "system-tracing"
      ],
      "count": 7,
      "href": "trace-visualization.html",
      "url": "https://threadslab.org/research-publications/topics/trace-visualization.html",
      "json": "trace-visualization.json"
    },
    {
      "id": "web-performance",
      "label": "Web Performance",
      "title": "Web Performance Research",
      "description": "Web Performance research papers in the Naser Ezzati-Jivan publication catalog.",
      "intro": "This topic page groups Naser Ezzati-Jivan research papers related to web performance. Each linked record provides the paper's problem, method, findings, limitations, keywords, and authoritative source links.",
      "aliases": [
        "web performance"
      ],
      "search_terms": [
        "Web Performance"
      ],
      "related": [],
      "count": 1,
      "href": "web-performance.html",
      "url": "https://threadslab.org/research-publications/topics/web-performance.html",
      "json": "web-performance.json"
    }
  ]
}