[HTML][HTML] A review of advanced algebraic approaches enabling network tomography for future network infrastructures

G Kakkavas, D Gkatzioura, V Karyotis, S Papavassiliou - Future Internet, 2020 - mdpi.com
Network tomography can be realized in many different ways, each … These goals can be
achieved by means of various approaches … Network tomography can be classified into various

[图书][B] Network tomography: identifiability, measurement design, and network state inference

T He, L Ma, A Swami, D Towsley - 2021 - books.google.com
several existing graph algorithms, particularly graph decomposition algorithms that compute
various … no matter where the two monitors are placed, complete network identifiability can …

Stealthy DGoS attack: DeGrading of service under the watch of network tomography

CC Chiu, T He - IEEE/ACM Transactions on Networking, 2021 - ieeexplore.ieee.org
… We note that the two problems are not equivalent: in Multiway Cut, the link weights are
arbitrary; in all-possiblepaths ALS, the link weights are the traversal numbers, which are …

BGP beacons, network tomography, and Bayesian computation to locate route flap damping

C Gray, C Mosig, R Bush, C Pelsser… - Proceedings of the …, 2020 - dl.acm.org
many cases are competitors, and who have little interest in sharing such information. Network
tomography … However, our setting is unlike typical network tomography. In our problem the …

[HTML][HTML] Origindestination flow estimation from link count data only

S Dey, S Winter, M Tomko - Sensors, 2020 - mdpi.com
… Hence we propose a new transport network tomography model that estimates OD flows of the
… Thus, the extension of the network tomography approach includes many assumptions and …

Network tomography for efficient monitoring in SDN-enabled 5G networks and beyond: Challenges and opportunities

G Kakkavas, A Stamou, V Karyotis… - IEEE …, 2021 - ieeexplore.ieee.org
… , each one related with multiple virtual network functions (VNFs) and multiple VNF instances,
… contributing to the optimal placement of the various functional components. Specifically, NT-…

Neural network based partial tomography for in-vehicle network monitoring

A Ibraheem, Z Sheng, G Parisis… - 2021 IEEE International …, 2021 - ieeexplore.ieee.org
… and the drivers/passengers usage patterns of its various subsystems (eg for infotainment). In
this … In this paper we assume that the in-vehicle network falls under either one of the last two

VANETomo: A congestion identification and control scheme in connected vehicles using network tomography

A Paranjothi, MS Khan, R Patan, RM Parizi… - Computer …, 2020 - Elsevier
… observed at various time periods (eg overall end-to-end delay from source to destination
nodes); … Our approach focuses primarily on two sources of delay: route discovery delay, which a …

On fundamental bounds on failure identifiability by boolean network tomography

N Bartolini, T He, V Arrigoni, A Massini… - … on Networking, 2020 - ieeexplore.ieee.org
… and configuration errors in various customer software and network functions often induce
“… paths of a given length between given sources and each of multiple candidate destinations. …

Dynamic origin-destination prediction in urban rail systems: A multi-resolution spatio-temporal deep learning approach

P Noursalehi, HN Koutsopoulos… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
… how much the past cell state Ct−1 should be forgotten, and finally, Ot decides how much
information from Ct should be stored in the hidden state Ht. Mathematically, it can be written as: …