his seminar looks at how important profiling an‎d tracing techniques are for improving software performance, especially in networked contexts where low latency, high throughput, an‎d system dependability are very important. As applications get more sophisticated, traditional debugging methods fail to find subtle performance bottlenecks in both user-space an‎d kernel-level tasks. Profiling shows how resources are used by finding hotspots, whereas tracing shows how events happen in a specific order to find out what caused them. The study goes over static an‎d dynamic profiling, kernel- an‎d user-level tracing, an‎d tools like perf, eBPF, Valgrind, an‎d LTTng in a structured way. It also shows how to use it in the real world for things like analyzing the TCP/IP stack, tracing distributed systems, an‎d integrating CI/CD. It also talks about how machine learning models are becoming more used for automating performance diagnostics an‎d optimization. The paper makes a strong case for the need for lightweight, easyto-use, an‎d automated solutions that fit right in with modern software engineering pipelines by using a lot of data an‎d real-world examples. In the end, this study helps close the gap between what profiling an‎d tracing can do in theory an‎d how they might be used in real-world performance-critical network applications

6/10/2025 12:00:00 AM

86910

1404/04/24

Applications Of Profiling an‎d Tracing To The Networking Domain

Profiling , Tracing , Network Performance , eBPF , Performance Optimization , Software Engineering