Paper: Optimizing Path Tracing Probe Collection for Kafka-based Storage: Identifying and Addressing Performance Bottlenecks

The document titled "Optimizing Path Tracing Probe Collection for Kafka-based Storage: Identifying and Addressing Performance Bottlenecks," authored by Julian Klaiber, Severin Dellsperger, and Professor Laurent Metzger, has been accepted at the 3rd International Conference on Electrical, Computer, and Energy Technologies. It presents a modular application for the efficient processing of path-tracing probe packets, which can play a significant role in diagnosing and analyzing service provider networks. The presented INS solution includes comprehensive testing methods regarding packet loss rate, memory usage, and CPU utilization, demonstrates efficient data processing, and offers solutions for developers facing similar challenges.