Research topic index

Research Topics in Kernel Tracing, Software Performance, and AI

Browse the controlled research topics in Naser Ezzati-Jivan's publication catalog. The strongest clusters cover Linux kernel and system tracing, execution-trace analysis, software performance, observability, distributed systems, machine learning, and AI systems.

Topics provide the semantic map of the catalog. Each topic links to paper pages with evidence-grounded summaries, technical methods, verified tools and datasets, limitations, future work, and citation guidance.

Kernel, system, and trace research

Kernel Tracing

Research papers on Linux kernel tracing, kernel events, execution analysis, and system-level performance diagnosis.

35 papers

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LTTng

Research papers using LTTng or LTTng-UST for kernel, user-space, cloud, and performance tracing.

7 papers

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Performance, observability, and diagnosis

Observability

Research papers on observability, tracing, monitoring, runtime evidence, and diagnosis of complex software systems.

20 papers

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Machine learning and AI systems

Security, IoT, and other research

Topic vocabulary

Topic labels are canonical research areas. Related search phrases such as kernel trace, Linux kernel trace analysis, system-level tracing, and performance diagnosis are represented as aliases on the relevant canonical topic pages rather than as duplicate pages.