TrafficGAN: Off-deployment traffic estimation with traffic generative adversarial networks

Y Zhang, Y Li, X Zhou, X Kong… - 2019 IEEE international …, 2019 - ieeexplore.ieee.org
The rapid progress of urbanization has expedited the process of urban planning, eg, new
residential, commercial areas, which in turn boosts the local travel demand. We propose a …

A first look at accurate network traffic generation in virtual environments

G Aceto, C Guida, A Montieri, V Persico… - … IEEE Symposium on …, 2022 - ieeexplore.ieee.org
The generation of synthetic network traffic is necessary to several fundamental networking
activities, ranging from device testing to path monitoring, with implications on security and …

A novel hybrid probing technique for end-to-end available bandwidth estimation

H Lin, M Liu, A Zhou, H Liu, ZC Li - IEEE Local Computer …, 2010 - ieeexplore.ieee.org
The information of available bandwidth on an end-to-end path is important for various
network applications, and several probing methods have been proposed to estimate it in …

NAORL: Network Feature Aware Offline Reinforcement Learning for Real Time Bandwidth Estimation

W Zhang, X Tao, J Wang - Proceedings of the 15th ACM Multimedia …, 2024 - dl.acm.org
Bandwidth Estimation (BWE) is the most important and challenging problem for Real Time
Communication (RTC) systems. The rule-based BWE is designed with hand-crafted rules …

Off-deployment traffic estimation—a traffic generative adversarial networks approach

Y Zhang, Y Li, X Zhou, X Kong… - IEEE transactions on big …, 2020 - ieeexplore.ieee.org
The rapid progress of urbanization has expedited the process of urban planning, eg, new
residential, commercial areas, which in turn boosts the local travel demand. We propose a …

INVA: An Intelligent Network Virtualization Architecture for Big Data Platform

H Zhang, Y Wei - 2023 9th International Conference on Big …, 2023 - ieeexplore.ieee.org
Various big data ecosystems emerge as the" big data" grows rapidly in the past decade
when traditional approaches turn impractical. Due to its unique computing paradigm, a …

Measurement-based online available bandwidth estimation employing reinforcement learning

SK Khangura, S Akın - 2019 31st International Teletraffic …, 2019 - ieeexplore.ieee.org
An accurate and fast estimation of the available bandwidth in a network with varying cross-
traffic is a challenging task. The accepted probing tools, based on the fluid-flow model of a …

Available bandwidth estimation in public clouds

P Ha, L Xu - IEEE INFOCOM 2018-IEEE Conference on …, 2018 - ieeexplore.ieee.org
Recent years have witnessed a rapid increase of public cloud adoption as a result of the
growing user demands and numerous advantages of public cloud computing. However, the …

Real-time bandwidth estimation from offline expert demonstrations

A Gottipati, S Khairy, G Mittag, V Gopal… - arXiv preprint arXiv …, 2023 - arxiv.org
In this work, we tackle the problem of bandwidth estimation (BWE) for real-time
communication systems; however, in contrast to previous works, we leverage the vast efforts …

Applying machine learning to service assurance in network function virtualization environment

Z Zhou, T Zhang - … on Artificial Intelligence for Industries (AI4I), 2018 - ieeexplore.ieee.org
With the complexity, heterogeneity, and scale of today's networks, service assurance is
becoming increasingly complicated. Meanwhile, significant amounts of telemetry data are …