Analysis of Non-Gaussian Nature of Network Traffic and its Implication on Network Performance
Tatsuya Mori, Ryoichi Kawahara, Shozo Naito
Abstract
We analyzed the non-Gaussian nature of network traffic using some Internet traffic data. We found that (1) the non-Gaussian nature degrades network performance, (2) it is caused by `greedy flows' that exist with non-negligible probability, and (3) a large majority of `greedy flows' are TCP flows having relatively small hop counts, which correspond to small round-trip times. We conclude that in a network hat has greedy flows with non-negligible probability, a traffic controlling scheme or bandwidth design that considers non-Gaussian nature is essential.
Create a lesson
Related papers
RUN-O-RAN: An O-RAN-Native Architecture Enabling Cooperative Uplink Localization
Viola Bernazzoli, Alberto Ceresoli, Ilario Filippini
NS3Learn: Transferring 5G NR Mode-2 Reception Realism from ns-3 to the Veins/SUMO Stack for Connected-Vehicle Safety Assessment
Rasheed Bello, Arthur Mukwaya, Gurcan Comert et al.
Value-Based Massive Access through Goal-Oriented Irregular Repetition Slotted ALOHA
Pietro Talli, Andrea Munari, Federico Mason et al.
STR-Agent: An LLM-Driven Agent for QoS-Aware Routing in LEO Satellite Networks
Bowen Lu, Mugen Peng, Yaohua Sun et al.
PyStream: Enhancing Video Streaming Evaluation
Samuel Radler, Leon Prüller, Emanuele Artioli et al.
Taming the Agentic RAN: Stability-Guaranteed Arbitration of Autonomous AI Agents in O-RAN
Seyed Bagher Hashemi Natanzi, Bo Tang