Many network operations depend on traffic matrix (TM). However, how to obtain TM often
turns out as a dilemma, ie, direct measurements have a high accuracy but with a high …

Multivariate time-series (MTS) clustering is a fundamental technique in data mining with a
wide range of real-world applications. To date, though some approaches have been …

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 …

Network traffic matrix (TM) is a critical input for capacity planning, anomaly detection and
many other network management related tasks. The TMs are often computed from link load …

Featured Application A software defined networking (SDN) application based on a brain-
inspired Bayesian attractor model for identification of the current traffic pattern for the …

The traffic matrix is a useful data structure in network management, monitoring, optimization
and traffic forecast. A recurrent problem is to obtain accurate traffic matrices in real time from …

Accurate prediction of the future traffic matrix of communication networks can help network
managers adjust the existing traffic scheduling policies in advance, thus reducing the …

End-to-end network traffic is an important input parameter for network planning and network
monitoring, which plays an important role in network management and design. This paper …