End-to-End Network Traffic Reconstruction Via Network Tomography Based on Compressive Sensing

Laisen Nie; Dingde Jiang; Lei Guo

doi:10.1007/s10922-014-9314-8

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End-to-End Network Traffic Reconstruction Via Network Tomography Based on Compressive Sensing

Laisen Nie Dingde Jiang Lei Guo

Year: 2014 Journal: Journal of Network and Systems Management Vol: 23 (3)Pages: 709-730 Publisher: Springer Science+Business Media

DOI: 10.1007/s10922-014-9314-8

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Keywords:

Network tomography Computer science Compressed sensing Network traffic simulation Traffic generation model Network management Network traffic control Traffic engineering Backbone network Data mining Network monitoring Tomography Algorithm Inference Computer network Artificial intelligence Network packet

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Sparse and Compressive Sensing Techniques

Physical Sciences → Engineering → Computational Mechanics

Microwave Imaging and Scattering Analysis

Physical Sciences → Engineering → Biomedical Engineering

Wireless Networks and Protocols

Physical Sciences → Computer Science → Computer Networks and Communications

End-to-End Network Traffic Reconstruction Via Network Tomography Based on Compressive Sensing

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