@proceedings{17511,
  keywords = {latency, Kernel Tuning, HiPerConTracer},
  author = {Jan Evang and Thomas Dreibholz},
  title = {Optimizing Network Latency: Unveiling the Impact of Reflection Server Tuning},
  abstract = {This study investigates the dynamics of network latency optimizations, with a focus on the role of reflection server tuning. In an era marked by the demand for precise and low-latency network measurements, our exploration unveils the interplay of diverse parameters in achieving optimal performance. Notably, the implementation of a tuned profile on Linux emerges as a standout strategy, showcasing significant rewards in network efficiency. We highlight the importance of early acceptance of latency-critical traffic in the firewall chain and emphasize the cumulative impact of various optimizations. These findings have practical implications for network administrators and system architects, providing valuable insights for the deployment of efficient and low-latency network infrastructures, essential in the landscape of emerging technologies such as 5G networks and edge computing solutions.},
  year = {2024},
  journal = {6th International Workshop on Recent Advances for Multi-Clouds and Mobile Edge Computing (M2EC)},
  month = {04/2024},
  publisher = {Springer},
  address = {Kitakyushu, Fukuoka/Japan},
}