State-of-the-art deep learning: Evolving machine intelligence toward tomorrow's intelligent network traffic control systems

ZM Fadlullah, F Tang, B Mao, N Kato… - … Surveys & Tutorials, 2017 - ieeexplore.ieee.org
Currently, the network traffic control systems are mainly composed of the Internet core and
wired/wireless heterogeneous backbone networks. Recently, these packet-switched …

A survey on internet traffic identification

A Callado, C Kamienski, G Szabó… - … surveys & tutorials, 2009 - ieeexplore.ieee.org
The area of Internet traffic measurement has advanced enormously over the last couple of
years. This was mostly due to the increase in network access speeds, due to the …

One sketch to rule them all: Rethinking network flow monitoring with univmon

Z Liu, A Manousis, G Vorsanger, V Sekar… - Proceedings of the …, 2016 - dl.acm.org
Network management requires accurate estimates of metrics for traffic engineering (eg,
heavy hitters), anomaly detection (eg, entropy of source addresses), and security (eg, DDoS …

{FlowRadar}: A better {NetFlow} for data centers

Y Li, R Miao, C Kim, M Yu - 13th USENIX symposium on networked …, 2016 - usenix.org
NetFlow has been a widely used monitoring tool with a variety of applications. NetFlow
maintains an active working set of flows in a hash table that supports flow insertion, collision …

Software {Defined}{Traffic} Measurement with {OpenSketch}

M Yu, L Jose, R Miao - 10th USENIX symposium on networked systems …, 2013 - usenix.org
Most network management tasks in software-defined networks (SDN) involve two stages:
measurement and control. While many efforts have been focused on network control APIs for …

[PDF][PDF] FlowLens: Enabling Efficient Flow Classification for ML-based Network Security Applications.

D Barradas, N Santos, L Rodrigues, S Signorello… - NDSS, 2021 - ndss-symposium.org
An emerging trend in network security consists in the adoption of programmable switches for
performing various security tasks in large-scale, high-speed networks. However, since …

Synopses for massive data: Samples, histograms, wavelets, sketches

G Cormode, M Garofalakis, PJ Haas… - … and Trends® in …, 2011 - nowpublishers.com
Abstract Methods for Approximate Query Processing (AQP) are essential for dealing with
massive data. They are often the only means of providing interactive response times when …

The nature of data center traffic: measurements & analysis

S Kandula, S Sengupta, A Greenberg, P Patel… - Proceedings of the 9th …, 2009 - dl.acm.org
We explore the nature of traffic in data centers, designed to support the mining of massive
data sets. We instrument the servers to collect socket-level logs, with negligible performance …

Structural analysis of network traffic flows

A Lakhina, K Papagiannaki, M Crovella, C Diot… - Proceedings of the joint …, 2004 - dl.acm.org
Network traffic arises from the superposition of Origin-Destination (OD) flows. Hence, a
thorough understanding of OD flows is essential for modeling network traffic, and for …

Building a better NetFlow

C Estan, K Keys, D Moore, G Varghese - ACM SIGCOMM Computer …, 2004 - dl.acm.org
Network operators need to determine the composition of the traffic mix on links when looking
for dominant applications, users, or estimating traffic matrices. Cisco's NetFlow has evolved …