Learning Network Traffic Dynamics Using Temporal Point Process

IEEE INFOCOM 2019 - IEEE Conference on Computer Communications ◽

10.1109/infocom.2019.8737622 ◽

2019 ◽

Author(s):

Avirup Saha ◽

Niloy Ganguly ◽

Sandip Chakraborty ◽

Abir De

Keyword(s):

Point Process ◽

Network Traffic ◽

Traffic Dynamics ◽

Learning Network

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A compact and scalable representation of network traffic dynamics using shapes and its applications

Transportation Research Part C Emerging Technologies ◽

10.1016/j.trc.2020.102850 ◽

2020 ◽

Vol 121 ◽

pp. 102850

Author(s):

Panchamy Krishnakumari ◽

Oded Cats ◽

Hans van Lint

Keyword(s):

Network Traffic ◽

Traffic Dynamics

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Self-Similar Network Traffic Modelling Using Fractal Point Process-Markovian Approach

Fractals, Wavelets, and their Applications - Springer Proceedings in Mathematics & Statistics ◽

10.1007/978-3-319-08105-2_27 ◽

2014 ◽

pp. 413-425 ◽

Author(s):

Rajaiah Dasari ◽

Ramesh Renikunta ◽

Malla Reddy Perati

Keyword(s):

Point Process ◽

Network Traffic ◽

Traffic Modelling ◽

Self Similar ◽

Markovian Approach

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Netman: a learning network traffic controller

Proceedings of the third international conference on Industrial and engineering applications of artificial intelligence and expert systems - IEA/AIE '90 ◽

10.1145/98894.99101 ◽

1990 ◽

Author(s):

Bernard Silver

Keyword(s):

Network Traffic ◽

Learning Network

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Virtual machine effects on network traffic dynamics

PCCC 2005. 24th IEEE International Performance, Computing, and Communications Conference, 2005. ◽

10.1109/pccc.2005.1460561 ◽

2005 ◽

Author(s):

J. Martin ◽

V. Rajasekaran ◽

J. Westall

Keyword(s):

Virtual Machine ◽

Network Traffic ◽

Traffic Dynamics

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Mapping Network Traffic Dynamics in the Complexity-Entropy Plane

2020 IEEE Symposium on Computers and Communications (ISCC) ◽

10.1109/iscc50000.2020.9219559 ◽

2020 ◽

Author(s):

Cristopher G. S. Freitas ◽

Osvaldo A. Rosso ◽

Andre L. L. Aquino

Keyword(s):

Network Traffic ◽

Traffic Dynamics

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Learning and managing stochastic network traffic dynamics with an aggregate traffic representation

Transportation Research Part B Methodological ◽

10.1016/j.trb.2019.03.021 ◽

2020 ◽

Vol 137 ◽

pp. 19-46 ◽

Author(s):

Wei Liu ◽

Wai Yuen Szeto

Keyword(s):

Network Traffic ◽

Stochastic Network ◽

Traffic Dynamics

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Self Learning Network Traffic Classification

2015 International Conference on Innovations in Information, Embedded and Communication Systems (ICIIECS) ◽

10.1109/iciiecs.2015.7193038 ◽

2015 ◽

Author(s):

Vandana M ◽

Sruthy Manmadhan

Keyword(s):

Network Traffic ◽

Traffic Classification ◽

Learning Network ◽

Network Traffic Classification ◽

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Controlling Probe Frequency with Network Traffic Dynamics: An Experience Report

10.1109/balkancom53780.2021.9593223 ◽

2021 ◽

Author(s):

Neminath Hubballi

Keyword(s):

Network Traffic ◽

Experience Report ◽

Traffic Dynamics ◽

Probe Frequency

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Toward an Improved Understanding of Network Traffic Dynamics

Self-Similar Network Traffic and Performance Evaluation ◽

10.1002/047120644x.ch20 ◽

2003 ◽

pp. 507-530 ◽

Author(s):

R. H. Riedi ◽

Walter Willinger

Keyword(s):

Network Traffic ◽

Traffic Dynamics

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Modeling and Forecasting of Timescale Network Traffic Dynamics in M2M Communications

2019 IEEE 39th International Conference on Distributed Computing Systems (ICDCS) ◽

10.1109/icdcs.2019.00076 ◽

2019 ◽

Author(s):

Yalong Wu ◽

Yunwei Cui ◽

Wei Yu ◽

Chao Lu ◽

Wei Zhao

Keyword(s):

Network Traffic ◽

Traffic Dynamics ◽

M2m Communications ◽

Modeling And Forecasting

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