Building a better NetFlow
By Cristian Estan, K. Keys, David Moore, George Varghese. Conference on Applications, Technologies, Architectures, and Protocols for Computer Communication, 2004
437 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Computer Networks and Communications
View Paper: https://www.semanticscholar.org/paper/08de75381de03a602a312d73e7893d8e5fc05035
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
- Sudipta Sengupta
- Carsten Lund
- Rodrigo Fonseca
- Mikkel Thorup
- Srikanth Kandula
- Rui Miao
- Yuliang Li
- Minlan Yu
In Computer Networks and Communications
- Srikanth Kandula
- Changhoon Kim
- Albert G. Greenberg
- Mikkel Thorup
- Carsten Lund
- Nick G. Duffield
- Kanak B. Agarwal
- Sudipta Sengupta
Citations in the corpus
- The nature of data center traffic: measurements & analysis (2009, background): “Sampled �ow or sampled packet header level data [ 16 , 29, 22, 31] can provide �ow levelinsight at the cost of keeping a higher volume of data for analysis and for assurance that samples are representative [15].”
- Offline/realtime traffic classification using semi-supervised learning (2007, neutral): “1212 J. Erman et al. / Performance Evaluation 64 (2007) 1194‐1213 and estimation (e.g., [9, 13 ,19]).”
- Flow Monitoring Explained: From Packet Capture to Data Analysis With NetFlow and IPFIX (2014, background): “Several publications propose new sampling schemes with the goal to mitigate the effects of sampling, for example by automatically adapting the sampling rate according to the traffic load [43].”
- Estimating flow distributions from sampled flow statistics (2005, methodology): “We also mention the scheme of [ 11 ] in which packets of the same key are grouped into flows over fixed periodic intervals, rather than by timeout.”
- Planck (2014, background): “A separate related line of work looks at improving network measurements in terms of accuracy and coverage [7, 8, 9].”
- FlowRadar: A Better NetFlow for Data Centers (2016, background): “Fine-grained traffic analysis: Previous research has shown that packet sampling is inadequate for many finegrained monitoring tasks such as understanding flow size distribution and anomaly detection [22, 20, 30].”