Traffic matrix estimation using matrix-CUR decomposition
Abstract Traffic Matrices (TMs) are the primary input for a multitude of network operations
and management activities within a backbone network. TMs can be collected directly using …
and management activities within a backbone network. TMs can be collected directly using …
Structured nonnegative matrix factorization for traffic flow estimation of large cloud networks
Network traffic matrix estimation is an ill-posed linear inverse problem: it requires to estimate
the unobservable origin destination traffic flows, X, given the observable link traffic flows, Y …
the unobservable origin destination traffic flows, X, given the observable link traffic flows, Y …
Internet traffic tensor completion with tensor nuclear norm
C Li, Y Chen, DH Li - Computational Optimization and Applications, 2024 - Springer
The incomplete data is a common phenomenon in traffic network because of the high
measurement cost, the failure of data collection systems and unavoidable transmission loss …
measurement cost, the failure of data collection systems and unavoidable transmission loss …
Completion of Traffic Matrix by Tensor Nuclear Norm Minus Frobenius Norm Minimization and Time Slicing
T Miyata - NOMS 2024-2024 IEEE Network Operations and …, 2024 - ieeexplore.ieee.org
The goal of traffic matrix completion is to estimate the elements of the network traffic matrix
that could not be observed. Conventional methods can be divided into mathematical …
that could not be observed. Conventional methods can be divided into mathematical …
Traffic matrix completion by weighted tensor nuclear norm minimization and time slicing
T Miyata - Nonlinear Theory and Its Applications, IEICE, 2024 - jstage.jst.go.jp
A traffic matrix (TM) plays an essential role in many network analysis tasks. Since obtaining
the full TM by direct observation is challenging, many studies have focused on recovering …
the full TM by direct observation is challenging, many studies have focused on recovering …